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Logistics
Number of Followers: 1  Open Access journalISSN (Online) 2305-6290 Published by MDPI  [258 journals]
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- Logistics, Vol. 7, Pages 67: Carbon Emissions Effect on Vendor-Managed
Inventory System Considering Displaced Re-Start-Up Production Time
Authors: Adel A. Alamri
First page: 67
Abstract: Background: The classical mathematical formulation of the vendor-managed inventory (VMI) model assumes an infinite planning horizon, and consequently, the solution derived ignored the impact of the first cycle. The classical formulation is associated with another implicit assumption that input parameters remain static indefinitely. Methods: This paper develops two mathematical models for VMI for a joint economic lot-sizing (JELS) policy. Each model considers investment in green production, energy used for keeping items in storage, and carbon emissions from production, storage, and transportation activities under the carbon cap-and-trade policy. The first model underlies the first cycle, while the second underlies subsequent cycles. Results: The re-start-up production time for subsequent cycles commences only at the time required to produce and replenish the first lot, which implies further cost reduction. Mathematical formulations are perceived as important both for academics and practitioners. For example, the base model of the first cycle (subsequent cycles) generates an optimal produced quantity with 18.42% (4.35%) less total system cost when compared with the pest scenario in favor of the existing literature. Moreover, such a percentage of total system cost reduction increases as the production rate increases. Further, the proposed models not only produce better results but also offer the opportunity to adjust the input parameters for subsequent cycles, where each cycle is independent from the previous one. Conclusions: The emissions generated by the system are very much related to the demand rate and the amount of investment in green production. Illustrative examples, special cases, model overview, and managerial insights are given. The discussion related to the contribution of the proposed model, the concluding remarks, and further research are also provided. The proposed model rectifies the base model adopted by the existing literature, which can be further extended to be implemented in several interesting further inquiries related to JELS inventory mathematical modeling.
Citation: Logistics
PubDate: 2023-09-22
DOI: 10.3390/logistics7040067
Issue No: Vol. 7, No. 4 (2023)
- Logistics, Vol. 7, Pages 35: A Bibliometric Overview of the International
Airports and Airlines ‘IAA’ Topic in Journals and Scientific
Community
Authors: Lázaro Florido-Benítez
First page: 35
Abstract: Background: The purpose of this study is to provide an assessment of international airports and airlines, ‘IAAs’, and to organize and classify the literature on air transport to stage the importance of this topic and encourage future research in the projection of the aviation and tourism sectors. Methods: It is a bibliographic study, and this work focuses on IAA documents published in major international journals, conferences, and books from 2000 to 9 June 2021; this topic is scattered across various journals and has secondary data in many disciplines. Results: The findings suggest a new paradigm applied to the IAA topic and are classified in four first-order research streams: airports; airlines; connectivity; and competition. This study identifies new challenges and opportunities for researchers, airport and airline operators, and stakeholders to make better future decisions. Conclusions: There is no agreement on an explicit definition of the IAA concept that captures the true nature of this topic. For this reason, this article is innovative in the new IAA concept and in how it will possibly change the theoretical frameworks in future scientific research in the aviation and tourism sectors. This study has been needed to better understand the effectiveness, projection, and different business strategies to be adopted by researchers and organizations in the aviation and tourism future.
Citation: Logistics
PubDate: 2023-06-25
DOI: 10.3390/logistics7030035
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 36: Approaches to Performance Assessment in
Reverse Supply Chains: A Systematic Literature Review
Authors: Denilson Ricardo de Lucena Nunes, Danyelle de Sousa Nascimento, Jennifer Rodrigues Matos, André Cristiano Silva Melo, Vitor William Batista Martins, Antônio Erlindo Braga Júnior
First page: 36
Abstract: Background: The interest in the topic of performance assessment in reverse supply chains (RSC) is increasing, although the body of research is still in its early stages. As this is a developing field, it is crucial to expand discussions on topics that have not yet been thoroughly examined, such as the intrinsic bias of indicators and metrics that may be associated with specific operational, economic, environmental perspectives, etc. Such perspectives should be considered in the decision-making process within the context of reverse logistics (RL) and waste management (WM). The aim of this research was to identify different perspectives employed in the development of proposed models in the literature. Methods: A systematic literature review was conducted to analyze thirty papers from Scopus, Web of Science, and Science Direct databases without time restrictions. Results: The review identified various ways in which authors grouped perspectives, including qualitative and quantitative, sustainability, and operational perspectives, among others. Conclusions: This study revealed several gaps in the field, including limited studies on RSC performance assessment and a lack of studies linking performance assessment to decision-making components.
Citation: Logistics
PubDate: 2023-06-28
DOI: 10.3390/logistics7030036
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 37: Sustainable Green Economy for a Supply Chain
with Remanufacturing by Both the Supplier and Manufacturer in a Varying
Market
Authors: Rimi Karmakar, Sanat K. Mazumder, Md Billal Hossain, Csaba Balint Illes, Arindam Garai
First page: 37
Abstract: Background: In a typical multiechelon supply chain, the supplier makes semifinished items, from which the manufacturer produces finished products to eventually get sold at retailers. However, the majority of existing supply chain models consider the remanufacturing of defective products by solely one organization, despite the fact that both the supplier and manufacturer can produce defective products. This study considers the remanufacturing of defective products with fresh materials and additional expenses by both the supplier and manufacturer. Contrary to well-established articles that hold major partners to be accountable for reducing carbon emissions under a carbon cap-and-trade policy, the proposed model presumes an initial green technological investment by each chain partner. Methods: This study represents a varying market with fuzzy cost components that are then defuzzified with λ-integral method. This study determines the critical values of three discrete and four other continuous decision variables that globally maximize the profitability of the proposed model. Results: Slower production with a longer cycle boosts profitability in a developing market. To increase profit, a case study on the oil and natural gas business suggested to reduce the production of defective items and cutting emission through green investments. Conclusions: Managers can sustainably boost profit via careful production, modern machinery, and slightly longer cycles.
Citation: Logistics
PubDate: 2023-07-04
DOI: 10.3390/logistics7030037
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 38: Characterization of Airfreight-Related
Logistics Firms in the City of Cape Town, South Africa
Authors: Masilonyane Mokhele, Tholang Mokhele
First page: 38
Abstract: Background: Airports are essential drivers of spatial development; hence the placement of logistics facilities relative to airports is a topical subject. Despite the wealth of the literature on the subject, relatively little is known about the airfreight catchment of airports. To contribute to the existing knowledge, the paper used the study area of the City of Cape Town municipality, South Africa, to address three research objectives, namely analysis of factors that influence the placement of logistics firms in the municipality, analysis of the linkages of the logistics firms with Cape Town International Airport (CTIA), and analysis of the association between airfreight-related firms and the general attributes of logistics firms in the municipality. Methods: The study hinged on a quantitative design, which included a survey and spatial analysis. A total of 110 logistics firms were sampled through a stratified random sampling technique, and 66 firms participated in the telephonic interviews conducted in October and November 2021. Survey data were analyzed using Stata, and spatial analysis was undertaken using ArcGIS 10.8 and QGIS 3.16. Results: It was discovered that a quarter of the respondent logistics firms utilized CTIA for airfreight purposes. At a municipal scale, the potential airfreight catchment of CTIA extended to about a 20 km radius of the airport. Conclusions: In formulating the spatial plans, the planning authorities are encouraged to take cognizance of the possible extent of the catchment, wherein airfreight-related firms do not necessarily locate near the airport.
Citation: Logistics
PubDate: 2023-07-04
DOI: 10.3390/logistics7030038
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 39: Future Potential of Trans-Caspian Corridor:
Review
Authors: Riina Palu, Olli-Pekka Hilmola
First page: 39
Abstract: Background: The Middle Corridor, a transport route from Asia to Europe that also facilitates major energy projects through the Caspian Sea and its surrounding countries, has gained even more attention after the intensification of the conflict in Ukraine in 2022. Methods: On the basis of major scientific papers on the topic, foreign policy addresses from The Diplomat and studies by the United Nations and Asian Development Bank Institute, a framework with five aspects was created. In addition, two interviews with sector stakeholders were conducted to apply the framework and determine the relevance of the route to Finnish and Estonian economies. Results: A multifaceted overview of the current economic, political, and infrastructural state of the Trans-Caspian trade route is given. The practical value of the article lies in creating a framework for evaluating the route for related economies and testing this out for the Finnish and Estonian economies. Conclusions: Despite the challenges, there are enormous opportunities in this logistics route, especially with the restrictions facing Russia due to western bloc sanctions. Finland and Estonia, however, are suffering under the effects of war in Ukraine and the related sanctions, which has hindered the capacity to further enhance development projects.
Citation: Logistics
PubDate: 2023-07-05
DOI: 10.3390/logistics7030039
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 40: Warehouse Management Systems for Social and
Environmental Sustainability: A Systematic Literature Review and
Bibliometric Analysis
Authors: Daria Minashkina, Ari Happonen
First page: 40
Abstract: Background: With the continuing growth of warehouses globally, there is an increasing need for sustainable logistics solutions in warehousing, but research linking warehouse management systems (WMS) and sustainability is lacking. Methods: A systematic literature review and bibliometric analysis were conducted in Scopus and Web of Science databases from 2006 to 2022 to investigate academic knowledge of WMS contributing to warehouses’ social and environmental sustainability. Results: Findings revealed only 12 topic-relevant articles from 2013 to 2022, primarily published recently. More recent articles have received more citations than earlier published works. The articles were from multiple research fields, such as business economics, engineering, computer science, and social sciences, with only one article on environmentally sustainable technologies. The top keywords were “warehouse management system”, “internet of things”, “industry 4.0” and “supply chain”. Only six articles had environmental sustainability terms in the keywords. Findings show more discussions about social rather than environmental sustainability. Most studies suggest integrating WMS with other systems to support sustainability efforts in warehousing. Conclusions: The study addressed a gap in academic literature regarding WMS and sustainability. Research findings added knowledge of practical activities to achieve warehouse operations and performance sustainability and proactively reduce warehouse operations’ environmental and social impacts.
Citation: Logistics
PubDate: 2023-07-07
DOI: 10.3390/logistics7030040
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 41: Factors Affecting Digital Marketing Adoption
in Pakistani Small and Medium Enterprises
Authors: Ihsan Ullah, Muhammad Khan, Dilshodjon Alidjonovich Rakhmonov, Kalonov Mukhiddin Bakhritdinovich, Julija Jacquemod, Junghan Bae
First page: 41
Abstract: Background: A substantial portion of the world’s population owns and utilizes computers and mobile devices, contributing to the rapid expansion of digital advertising. Marketers swiftly recognized the communicative benefits of social media platforms like Facebook, YouTube, Twitter, Instagram, Snapchat, Pinterest, and LinkedIn. Considering the importance of social media platforms and digital modes of marketing, it is considered especially significant for small firms to integrate these platforms into their business strategies in order to improve performance. Methods: Based on this aim, this study collected data from 363 owners/managers of SMEs in Pakistan. Structural equation modeling is used to check the hypothesized model of the study. Results: The results show that compatibility, owner/manager support, employee IT skills, financial cost, government policies, and social influence significantly affect adoption of digital marketing by SMEs in Pakistan. Conclusions: Furthermore, digital marketing also positively affects SME performance. This paper discusses the study’s findings as well as managerial and academic implications, including its limitations and future research avenues.
Citation: Logistics
PubDate: 2023-07-11
DOI: 10.3390/logistics7030041
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 42: Systematic Literature Review in Reshoring
Strategies 4.0
Authors: Daniel Masini Espíndola, Márcio Lopes Pimenta, Cláudio Heleno Pinto da Silva, Ingridi Vargas Bortolaso
First page: 42
Abstract: Background: With global changes in markets and government regulations, most organizations, which previously opted for offshore production, began to return to their country of origin—a process called reshoring. The new strategies for locating units and business models, which involve decisions to outsource production and organizational capacity, now face a new context of Industry 4.0, a market for technologies with the potential to transform entire supply chains in addition to directly influencing organizational aspects with innovative solutions and resource efficiency. Methods: This systematic literature review (SLR) found 43 articles relating to reshoring and Industry 4.0; there was an increase in publications in the last few years. We divided the studies according to 9 aspects: market uncertainties and labor supply; support for managerial decision making; competitive priorities analysis (costs and efficiency); business strategies; information knowledge and collaboration management; political, social and economic changes; risk security and privacy management; supply chain management; and investment market and private equity funds. Results: This article presents a content analysis of articles in the field of administration, focusing on location strategies, technology adoption, and organizational changes. The study identifies key aspects such as research quality, publication trends, regional focus, and strategy topics. The findings emphasize the importance of research objectives and problem-solving for managerial decision-making and highlight the need for further exploration in the literature. Conclusions: Reshoring, Industry 4.0, and location strategies are relevant topics for global management. The supply chain plays a role in decision-making for location and technology adoption, suggesting the need for more research in supply chain management.
Citation: Logistics
PubDate: 2023-07-17
DOI: 10.3390/logistics7030042
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 43: Neoindustrialization—Reflections on a
New Paradigmatic Approach for the Industry: A Scoping Review on Industry
5.0
Authors: Ricardo Pereira, Neri dos Santos
First page: 43
Abstract: Background: The Industry 5.0 emerges as a new paradigm for the industry by considering sustainability, human-centered approaches, organizational resilience, and interaction between humans and machines as its core values. This new trend for the future of the industry is referred to as neoindustrialization. Due to being a topic in development, there is still no precise consensus on its definition, which prompted the current study to comprehensively investigate and analyze the existing literature on Industry 5.0. Methods: The method employed was a scoping review, examining publications from various databases and academic journals, including those specific to the Brazilian context. Results: The results indicate a transition towards an industry that meets societal demands and respects planetary boundaries, aspects that were overlooked by Industry 4.0. Conclusions: In this new scenario, the industry reassumes its leadership by combining technology with new strategies and organizational models. Furthermore, it undergoes organizational changes to align its structure, operations, human resources, and new practices, aiming to meet the demands of society and all stakeholders involved. To achieve this, it is necessary to create an environment conducive to innovation and entrepreneurship, promoting the development of qualified human capital, investments in research and development, and strengthening partnerships between the public and private sectors. A successful neoindustrialization policy will generate high-quality jobs and foster economic growth. Industry 5.0 is the paradigm that will prevail in the 21st century. It is not a matter of speculation; it is an inseparable and inevitable reality. Otherwise, the industry will be relegated to a secondary role in the process of digital and social transformation.
Citation: Logistics
PubDate: 2023-07-24
DOI: 10.3390/logistics7030043
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 44: A Comparison of Truck Driver Pre-Employment
Hair and Urine Drug Test Efficacy
Authors: Ming Li, M. Douglas Voss, Joseph D. Cangelosi
First page: 44
Abstract: Background: To help ensure roadway safety, the federal government mandates trucking companies to conduct pre-employment urine drug tests before allowing drivers to operate a commercial motor vehicle. Unfortunately, urine testing has a short detection window and is easily thwarted, leading some carriers to employ hair testing. Methods: t-tests were utilized to compare hair and urine pre-employment drug test results provided by seven large U.S. trucking companies. Results: results indicate that hair’s positivity rate is statistically greater than urine for each examined drug and across all drugs combined. Conclusions: This paper is the only supply chain work of which we are aware that assesses the statistical differences between hair and urine testing positivity rates. Results support hair testing’s increased ability to prevent lifestyle drug users from operating commercial motor vehicles and should be considered by public policy makers considering whether hair testing results should be allowed into the Drug and Alcohol Clearinghouse.
Citation: Logistics
PubDate: 2023-07-26
DOI: 10.3390/logistics7030044
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 45: Transport Task Models with Variable Supplier
Availabilities
Authors: Julian Vasilev, Rosen Nikolaev, Tanka Milkova
First page: 45
Abstract: Background: With regard to the definition of an optimal transport plan for some material flow in the logistics system in literature and practice, the classical transport task model is developed. The minimization of total transport costs is usually considered for optimality. Some modifications to the classical transport task have also been developed. Methods: The article uses the methods of linear optimization. Based on these methods, two modified transport task models have been constructed, which consider the possibility of planning in advance the quantities available from the suppliers of the transported cargo. These models are applicable in SCM for pharmaceuticals with a national logistics hub. Furthermore, a solver in MS Excel is used to determine the optimal solution of optimization models. Results: Two new (modified, extended) models of the transport task have been constructed, in which a preliminary planning of the available quantities of the transported cargo at the suppliers is made. These quantities shall be planned in such a way as to ensure a minimum total transport cost. Conclusions: By applying the proposed new transport task models, lower total transport costs for carrying out imported pharmaceuticals can be ensured compared to an application of the classical transport task model.
Citation: Logistics
PubDate: 2023-07-27
DOI: 10.3390/logistics7030045
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 46: A Bi-Objective Mixed-Integer Linear
Programming Model for a Sustainable Agro-Food Supply Chain with Product
Perishability and Environmental Considerations
Authors: Rana Azab, Rana S. Mahmoud, Rahma Elbehery, Mohamed Gheith
First page: 46
Abstract: Background: Agro-food supply chains possess specific characteristics due to the diverse nature of products involved and contribute to all three pillars of sustainability, making the optimal design of a sustainable agro-food supply chain a complex problem. Therefore, efficient models incorporating the unique characteristics of such chains are essential for making optimal supply chain decisions and achieving economically and environmentally sustainable agro-food supply chains that contribute to global food security. Methods: This article presents a multi-objective mixed-integer linear programing model that integrates agricultural-related strategic decisions into the tactical design of an agro-food supply chain. The model considers transportation, inventory, processing, demand fulfilment, and waste disposal decisions. It also accounts for seasonality and perishability, ensuring a comprehensive approach to sustainability. The model aims to maximize the total generated profits across the supply chain while simultaneously minimizing CO2 emissions as a measure of environmental impact. Results: By implementing the model on a sugar beet supply chain in the Netherlands, strategic crop rotation farm schedules for the crop rotation cycle and the optimum supply network decisions are obtained. Furthermore, different objectives are analyzed and the Pareto-efficient frontier is investigated to analyze the underlying trade-offs. Additionally, the model serves as a decision support tool for managers facilitating informed investment decisions in technologies that prolong product shelf life while maintaining profitability. Conclusions: The proposed multi-objective model offers a valuable framework for designing economically and environmentally sustainable agro-food supply chains. By aligning with sustainability goals and providing decision support, this research contributes to enhancing global food security and promoting sustainable resource utilization.
Citation: Logistics
PubDate: 2023-07-29
DOI: 10.3390/logistics7030046
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 47: Green Supply Chain Management: The Effect of
Procurement Sustainability on Reverse Logistics
Authors: Nataliia Letunovska, Felix Amoako Offei, Prince Amoh Junior Junior, Oleksii Lyulyov, Tetyana Pimonenko, Aleksy Kwilinski
First page: 47
Abstract: Background: Sustainable procurement is about considering social and environmental factors alongside financial factors in making procurement decisions and purchasing goods and services that take into account the social, economic, and environmental impact that such purchasing has on people and communities. This study was carried out to address the effects of procurement sustainability on reverse logistics. It considered four objectives: to establish the relationship between environmental procurement sustainability and reverse logistics, to examine the relationship between economic procurement sustainability and reverse logistics, to examine the relationship between social sustainability procurement and reverse logistics, and to examine the moderating role of government policy. Methods: This study applied structural equation modeling to check the research hypotheses. A purposive sampling technique was used. A structured questionnaire was used to gather primary data. The data gathered were analyzed using descriptive and inferential analysis. The data were analyzed in SPSS version 21. The study found that environmental, economic, and social procurement sustainability has a significant and positive effect on reverse logistics. Government policy moderates the relationships between environmental, economic, and social procurement sustainability and reverse logistics. Conclusions: This study recommends that organizations team up with environmental protection agencies to produce environmentally friendly products. Social interventions that can help protect society from damage should be acknowledged. Good economic policies that ensure that organizations increase their wealth should also be acknowledged.
Citation: Logistics
PubDate: 2023-08-03
DOI: 10.3390/logistics7030047
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 48: Optimization of the Residual Biomass Supply
Chain: Process Characterization and Cost Analysis
Authors: Leonel J. R. Nunes, Sandra Silva
First page: 48
Abstract: This study delves into the critical role of logistical cost optimization in the residual woody biomass supply chain, aiming to enhance the sustainability and efficiency of this resource’s exploitation. The research underscores that proficient cost management of logistical operations is pivotal for the economic feasibility of residual biomass utilization. The paper scrutinizes key aspects, such as collection, transportation, storage, and processing of biomass, emphasizing their individual contributions to the overall cost. It also pays particular attention to the impacts of seasonality and biomass quality variations, which directly influence the cost and effectiveness of the supply chain. To facilitate a deeper understanding of these factors, the study introduces mathematical models that enable the exploration of diverse scenarios and optimization strategies. The use of linear programming, genetic algorithms, and tabu search techniques are discussed in the context of these models. The findings of this research hold significant implications for the management of the residual biomass supply chain and contribute to the transition towards a low-carbon economy.
Citation: Logistics
PubDate: 2023-08-04
DOI: 10.3390/logistics7030048
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 49: A Two-Stage Stochastic Linear Programming
Model for Tactical Planning in the Soybean Supply Chain
Authors: Silvia Araújo dos Reis, José Eugenio Leal, Antônio Márcio Tavares Thomé
First page: 49
Abstract: Background: The soybean market is representative of the world. Brazil is the largest producer and exporter of this crop and has low production costs but high logistical costs, which are influenced mainly by transport costs. Added to these characteristics, the disputed grain supply, the possibility of crop failure, and the randomness of some parameters that influence the soybean supply chain make decisions even more challenging. Methods: To mathematically model this problem, we carried out an analysis of the scientific production related to grain supply chain and the models used to address the problem, as well as a document analysis and a case study. Results: This paper proposes a new two-stage stochastic linear programming model with fixed recourse for tactical planning in the soybean supply chain from the perspective of the shipper under take or pay contracts over a one-year time horizon. The first-stage variables are the grain purchasing decisions and the volumes of rail and road transportation hired in advance. The model addresses 243 scenarios derived from four uncertainty sources: the purchase and sale prices of raw agricultural products on the spot market, the probability of crop failure, and the external demand. Conclusions: The model is successfully applied to a soybean trade firm in Brazil with expected gain of US$4,299,720 when using the stochastic model instead of the deterministic model. The stochastic model protected the firm from take or pay fines and crop failures, contracting a smaller volume of rail transport than what the company does.
Citation: Logistics
PubDate: 2023-08-04
DOI: 10.3390/logistics7030049
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 50: Interconnectedness between Supply Chain
Resilience, Industry 4.0, and Investment
Authors: Adnan Al-Banna, Zaid Ashraf Rana, Mohammed Yaqot, Brenno Menezes
First page: 50
Abstract: Background: As industry and society move towards the second decade of the deluge of advanced technologies of the Industry 4.0 (I4.0) age, introduced circa 2012, it is evident that the global economy continues to grapple with a plethora of ever-intensifying disruptions and vulnerabilities that inflict unexpected and uncontrolled damages on multiple organizational processes. These circumstances demand significant paradigm shifts, placing supply chain resilience (SCR) in the foreground of boardrooms and agendas of executive meetings. Method: This paper presents a bibliometric analysis of selected articles that examine the intricate interplay of I4.0 and SCR under investment constraints. Employing a funnel approach, this study delves deeper into about a hundred papers that were initially selected from a pool of approximately four thousand publications on SCR. The study thoroughly analyzes the interconnection between SCR, I4.0, and investment (INV) while classifying these articles in a structured manner, based on industry type and focus. Results: The primary aim of the paper is to identify trends, gaps, and potential opportunities for future research on the SCR-I4.0-INV interplays. Conclusions: The findings reveal that industries are converging towards the implementation of digital technologies as a strategic move to tackle unexpected, unplanned, and undesired situations. This research illuminates the needs for organizations to prioritize supply chain resilience in the face of disruptions and vulnerabilities while highlighting the potential of digital technologies to enhance their resilience, therefore ensuring sustainable growth.
Citation: Logistics
PubDate: 2023-08-09
DOI: 10.3390/logistics7030050
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 51: Recent Advances of Solutions Algorithms for
Logistics Routing Problems
Authors: Erfan Babaee Babaee Tirkolaee, Alireza Goli, Behnam Malmir
First page: 51
Abstract: Nowadays, the business landscape is highly focused on establishing efficient logistics systems, with numerous companies striving to gain a strong foothold in the global market and achieve maximum productivity and cost effectiveness [...]
Citation: Logistics
PubDate: 2023-08-10
DOI: 10.3390/logistics7030051
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 52: The Relationship between Lean Practices and
Organizational Performance: An Analysis of Operations Management in a
Public Institution
Authors: Patricia Inês Schwantz, Leander Luiz Klein, Eugênio de Oliveira Simonetto
First page: 52
Abstract: Background: This study aims to analyze the relationship between lean practices and organizational performance in a public institution, specifically, a military organization. Methods: The research has a quantitative approach with a descriptive character, having as a sample the members of a military unit located in Rio Grande do Sul. A valid sample of 116 answered questionnaires was obtained. Data analysis was carried out through multivariate statistical treatment, known as Structural Equation Modeling (SEM), using the Smart-PLS software. Results: At the end of the study, it was possible to confirm the central hypothesis of the study and conclude that lean practices (waste elimination, continuous improvement, support and leadership, member involvement, education and training, long-term thinking, quality, and systemic vision) positively impact organizational performance. Together, these elements combine to engender organizational effectiveness and success, promoting more productivity, quality, profitability, and customer satisfaction, thus improving the organization’s performance. Conclusions: It is evident that the members of the military unit are committed to optimizing organizational performance, showing constant improvement in productivity, rarely committing errors, cost reduction in activities and works, high effectiveness in meeting goals, prioritizing cost reduction in the execution of activities, as well as achieving goals and objectives related to the services provided.
Citation: Logistics
PubDate: 2023-08-16
DOI: 10.3390/logistics7030052
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 53: Analyzing the Influence of COVID-19 on the
E-Commerce Customer’s Retail Experience in the Supermarket Industry:
Insights from Brazil
Authors: Beatriz Moschetta Cunha, Carolina Kato Lettieri, Giulia Wiltenburg Cadena, Veridiana Rotondaro Pereira
First page: 53
Abstract: Background: E-commerce’s convenience, speed, and ability to overcome geographical barriers have made it increasingly popular across industries. This study analyzed the impact of the COVID-19 pandemic on customer experience and satisfaction in supermarket retail e-commerce in the Brazilian market. The objective was to understand how the pandemic influenced satisfaction in this sector. Methods: A survey research method was employed, utilizing the Critical Incident Technique to identify key quality dimensions important to customers. A total of 133 valid responses underwent exploratory factor analysis. Results: Data analysis identified three dimensions significantly affecting overall customer satisfaction. “Presentation of Products in the Application (app)” had the highest correlation, while “Delivery Logistics” had the lowest. However, when considering the COVID-19 factor, “Delivery Logistics” showed the highest correlation. This indicates that the dimension most affected by the pandemic has the least impact on overall satisfaction in supermarket e-commerce. Conclusions: The study emphasizes the significance of understanding customer satisfaction in supermarket e-commerce, not just during the COVID-19 pandemic but also its post-pandemic consequences. Retailers should prioritize improving product presentation in apps, as it greatly influences overall satisfaction. Addressing the pandemic’s impact on delivery logistics is also crucial to ensure competitiveness in the e-commerce market.
Citation: Logistics
PubDate: 2023-08-14
DOI: 10.3390/logistics7030053
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 54: Waste Collection Optimisation: A Path to a
Green and Sustainable City of Makkah
Authors: Haneen Algethami, Ghada Talat Alhothali
First page: 54
Abstract: Background: Saudi Arabia is a leading country endorsing a sustainable future, from policymaking and investment to infrastructure development. One of the rising concerns in Saudi Arabia's Vision 2030 is solid waste management, especially in Makkah. The Solid Waste Collection Problem (SWCP) refers to the route optimisation of waste collection trucks visiting containers across various locations. Manually generated routes might contain some mistakes, and constructing and revising designed solutions can take a long time. Thus, there is a need to find optimal and fast solutions to this problem. Solving this problem demands tackling numerous routing constraints while aiming to minimise the operational cost. Since solid waste has a significant impact on the environment, reducing fuel consumption must be an objective. Methods: Thus, a mixed-integer programming model is proposed in this paper while using the time-oriented nearest neighbour heuristic. The goal is to investigate their performance on nine existing instances of SWCP in the city of Makkah. The proposed model is implemented in the Gurobi solver. The time-oriented nearest neighbour heuristic constructs the initial solution and is then re-optimised using Google OR-tools. Results: Using the greedy method to construct a solution for this problem generated better solutions when compared to the results obtained without the greedy method. Computational times are also improved by 55.7% on the problem instances. Conclusions: The findings confirm the competitive performance of the proposed method in terms of computational times and solution quality.
Citation: Logistics
PubDate: 2023-08-17
DOI: 10.3390/logistics7030054
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 55: The Influence of Technologies in Increasing
Transparency in Textile Supply Chains
Authors: Caterina Hauschild, Angelica Coll
First page: 55
Abstract: Background: In the current political discourse, supply chain transparency is seen as a key to improving the working and environmental conditions within textile supply chains. Additionally, the use of technology is increasingly being regarded as a means of reducing complexity and increasing transparency within these supply chains. While much research has been conducted to understand the impact of the textile industry on sustainability and the impact of technology on the overall performance of the textile supply chains, little attention has been placed on the following question: How do technologies affect transparency within the textile supply chains' Methods: We conducted seven interviews with actors from the textile industry. Based on these collected data, the relevance of selected technologies for improving transparency is established and the challenges of their implementation and impact on the industry are assessed. Results: Digital technologies, such as blockchain, the Internet of Things and dialog platforms, are promising instruments for transparency, even though their current implementation is not ideal. Furthermore, great skepticism on platforms for reporting (audits and complaint systems) is still prevalent. Conclusions: Since the influence of transparency on sustainability is conditioned by the goal orientation with which the technologies are implemented and used, we propose a framework for the implementation of the selected technologies that account for the interaction between said technologies in the textile supply chains.
Citation: Logistics
PubDate: 2023-08-21
DOI: 10.3390/logistics7030055
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 56: Agroforestry Biomass Recovery Supply Chain
Management: A More Efficient Information Flow Model Based on a Web
Platform
Authors: Tiago Bastos, Leonor C. Teixeira, João C. O. Matias, Leonel J. R. Nunes
First page: 56
Abstract: Background: With the increasing societal focus on sustainability and the critical need for innovative energy solutions, this research emphasizes the undervalued biomass originating from waste products of agroforestry activities. The traditional practice of disposing of these waste products through open-air burning has led to environmental challenges and a tragic loss of their inherent energy potential. Methods: This study adopts a multifaceted approach, integrating literature reviews, expert interviews from both the academic and professional sectors, and surveys. The central focus is on understanding supply chain inefficiencies and communication gaps that contribute to waste and addressing them through the Lean philosophy, renowned for its waste reduction benefits. Results: Our research culminated in the development of a unique information management model based on a web application. Additionally, the study provides a theoretical groundwork for an application that backs the proposed model. Conclusions: The presented strategy and web-based model offer promising avenues for managing waste products from agroforestry activities more sustainably and efficiently. This approach not only addresses the environmental issues arising from waste disposal but also taps into the significant energy potential these waste products hold.
Citation: Logistics
PubDate: 2023-08-23
DOI: 10.3390/logistics7030056
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 57: Sport Logistics: Considerations on the Nexus
of Logistics and Sport Management and Its Unique Features
Authors: Christoph Pott, Christoph Breuer, Michael ten Hompel
First page: 57
Abstract: Background: This paper is the first-ever discussion of sport logistics as an intersection of the academic disciplines of logistics and sport management. Methods: It reviews past literature and states that logistics in sport is widely overlooked in academic literature. It illustrates the importance and pervasive nature of logistics in the sport industry and questions how sport logistics can be positioned at the interface of logistics and sport management science. Both disciplines are contrasted under the common lens of Porter’s value chain. Results: Operations, organization and marketing are identified along with economics and strategy as areas of sport management (highly) involved with logistics. Sport logistics is defined as a research area dealing with storage and transportation issues in sport organizations. Conclusions: Based on a case example from practice, athlete equipment logistics, the authors elaborate on the unique characteristics of managing logistics in sport, e.g., low competition, personal relationships and high demand predictability. They call for a broader discourse on sport logistics in academia.
Citation: Logistics
PubDate: 2023-08-28
DOI: 10.3390/logistics7030057
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 58: Risk Analysis of Transport Requalification
Projects in the Urban Mobility Problem Caused by a Mining Disaster
Authors: Marcele Elisa Fontana, Natallya de Almeida Levino, José Leão, Patrícia Guarnieri, Emerson Philipe Sinesio
First page: 58
Abstract: Background: This paper proposes a risk analysis of transport requalification projects in the urban mobility problem caused by a mining disaster related to irregular rock salt extraction in the city of Maceió, Brazil. Methods: The model is composed of three main steps: problem definition, risk management, and decision analysis. For this purpose, we used the Picture Fuzzy-Delphi method for data collection and experts’ judgment elicitation and the Delphi method was used to assess the problem without interference from others. In addition, we used Picture Fuzzy Sets (PFSs) to incorporate uncertain information in the decision-making process. Results: The results of the proposed model demonstrated consistency and relevance to the discussion. The application of methods shows the risks of the project based on a general perspective. It evaluates the sustainability tripod: economic, environmental, and social points of view, assessing the occurrence risk and intensity of the risk. Conclusions: The main objective of the work was achieved; however, some limitations of this study are related to the methods used to assess risks and the options of projects of requalification available at the moment of data analysis. This paper contributes because it systematizes the risk management of projects related to requalification in urban mobility.
Citation: Logistics
PubDate: 2023-09-04
DOI: 10.3390/logistics7030058
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 59: Identifying an Optimal Model for Blockchain
Technology Adoption in the Agricultural Sector
Authors: Peter Sasitharan Gandhi Maniam, Catherine Prentice, Anne-Marie Sassenberg, Jeffrey Soar
First page: 59
Abstract: Background: Blockchain adoption in agriculture is facing challenges. Some of its key challenges include lack of regulatory framework and unclear policies. Methods: This quantitative research based on a survey aims to examine the factors that influence blockchain implementation in the agricultural sector. Several theories including the technology acceptance model (TAM), the theory of planned behaviour (TPB), and the technology readiness index (TRI) were drawn upon to determine the factors influencing Blockchain adoption. The study was undertaken in Australia with 358 agricultural supply chain experts. Results: A range of novel findings were generated. While perceived usefulness, perceived ease of use, and attitude positively influenced Blockchain adoption, discomfort and insecurity were considered deterrents. Conclusions: The results can be used by relevant practitioners to improve the supply chain management for agriculture business. The findings can also inform a new direction for the research on the agricultural supply chain and the literature on logistics.
Citation: Logistics
PubDate: 2023-09-05
DOI: 10.3390/logistics7030059
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 60: International Transportation Mode Selection
through Total Logistics Cost-Based Intelligent Approach
Authors: Rushikesh A. Patil, Abhishek D. Patange, Sujit S. Pardeshi
First page: 60
Abstract: Background: International transportation has grown substantially, causing total logistics costs (TLCs) to rise. Companies are increasingly striving for their reduction. The most crucial factor affecting TLCs is the transportation mode, and its appropriate selection has become vital for firms. Maritime transport is the most preferred mode for international shipments, while air transport is also increasingly preferred due to the rise in underweight and high-frequency shipments, the expectation of reduced delivery times, and inventory costs. However, a thorough comparative analysis is necessary for the selection. Methods: This paper proposes an intelligent approach based on TLCs. Non-linear optimization is adopted for regular replenishment, while maching-learning classifiers are employed to establish a decision boundary for the chargeable weight of shipments. Conclusions: The study assists in decision making and also establishes a country-wide threshold, highlighting the importance of a country-based logistics strategy. The paper successfully establishes the trends and relations between logistics parameters, which assists the logistics decision making. Research identifies the gaps in the existing literature and bridges them by addressing the required concerns.
Citation: Logistics
PubDate: 2023-09-07
DOI: 10.3390/logistics7030060
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 61: Order Picking Problem: A Model for the Joint
Optimisation of Order Batching, Batch Assignment Sequencing, and Picking
Routing
Authors: Antonio Maria Coruzzolo, Francesco Lolli, Elia Balugani, Elisa Magnani, Miguel Afonso Sellitto
First page: 61
Abstract: Background: Order picking is a critical activity in end-product warehouses, particularly using the picker-to-part system, entail substantial manual labor, representing approximately 60% of warehouse work. Methods: This study develops a new linear model to perform batching, which allows for defining, assigning, and sequencing batches and determining the best routing strategy. Its goal is to minimise the completion time and the weighted sum of tardiness and earliness of orders. We developed a second linear model without the constraints related to the picking routing to reduce complexity. This model searches for the best routing using the closest neighbour approach. As both models were too complex to test, the earliest due date constructive heuristic algorithm was developed. To improve the solution, we implemented various algorithms, from multi-start with random ordering to more complex like iterated local search. Results: The proposed models were tested on a real case study where the picking time was reduced by 57% compared to single-order strategy. Conclusions: The results showed that the iterated local search multiple perturbation algorithms could successfully identify the minimum solution and significantly improve the solution initially obtained with the heuristic earliest due date algorithm.
Citation: Logistics
PubDate: 2023-09-11
DOI: 10.3390/logistics7030061
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 62: A New Model for Determining the Price of
Product Distribution Based on Fuzzy Logic
Authors: Predrag Grozdanović, Anđela Gligorijević, Milan Andrejić, Miloš Nikolić, Milorad Kilibarda
First page: 62
Abstract: Background: Distribution is a very important part of logistics and an activity that is present in every area today. One of the basic problems in distribution is how to correctly determine its price. For this reason, this paper presents a model created to determine the price of the product distribution service. Methods: The model first determines the base of the distribution price, which consists of a fixed and a variable part. The fixed part depends on the distance traveled, and the variable part is defined by fuzzy logic. To determine the variable part, a fuzzy logic system was created that depends on four input variables: inaccessibility of the client’s location, driving time, quantity of goods, and unloading time. The reason for applying fuzzy logic is its ability to set the distribution price for each client individually, without generalization. Certain criteria that affect the distribution price such as type of vehicle, quality of service, and type of goods, which could not be represented by fuzzy numbers, were considered as additional corrective factors. Results: The model was tested on hypothetical examples created by the authors from this field and on examples of company that provide distribution services. In the case study, a comparison was made between the distribution price obtained by applying the created fuzzy logic model and the price defined by the model used by the company "X". Conclusions: The model created in this way enables easy adaptation to constant changes in the prices of oil derivatives due to the COVID-19 pandemic and the war but also considers various unpredictable circumstances that may occur during delivery such as roadworks, crowds, vehicle breakdown, location inaccessibility due to bad weather, etc.
Citation: Logistics
PubDate: 2023-09-13
DOI: 10.3390/logistics7030062
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 63: Transformative Procurement Trends:
Integrating Industry 4.0 Technologies for Enhanced Procurement Processes
Authors: Areej Althabatah, Mohammed Yaqot, Brenno Menezes, Laoucine Kerbache
First page: 63
Abstract: Background: the advent of Industry 4.0 (I4.0) innovations has revolutionized supply chain management through technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) integrated into procurement processes. Methods: this study addresses a critical knowledge gap by conducting a comprehensive review of 111 papers sourced from the Scopus database. These papers are classified into seven sub-themes encompassing I4.0 or procurement 4.0 (P4.0), big data, IoT, additive manufacturing, blockchain, e-procurement, and AI. Results: the investigation reveals that I4.0 technologies, particularly e-procurement and blockchain, have garnered substantial attention. Such technologies offer diverse value propositions, encompassing streamlined supplier evaluation, lead time reduction, cost optimization, and enhanced data security. Conclusion: the paper underscores pivotal trends and insights for the evolution of Procurement 4.0, illuminating a path toward more efficient supply chain management.
Citation: Logistics
PubDate: 2023-09-13
DOI: 10.3390/logistics7030063
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 64: Development of a Novel Fuzzy Hierarchical
Location-Routing Optimization Model Considering Reliability
Authors: Javid Ghahremani-Nahr, Hamed Nozari, Maryam Rahmaty, Parvaneh Zeraati Foukolaei, Azita Sherejsharifi
First page: 64
Abstract: Background: This paper discusses the optimization of a novel fuzzy hierarchical location-routing problem, taking into consideration reliability. The mathematical model presented aims to determine the optimal locations of production centers and warehouses, as well as the optimal routing of vehicles, in order to minimize total costs. Methods: Because of the uncertainty surrounding the demand and transportation cost parameters, a fuzzy programming method was employed to control the model. To solve the mathematical model, both GA and PSO algorithms were used. Results: The results show that as the uncertainty rate increases, the total costs also increase. Additionally, the results indicate that the maximum relative difference percentage between the solutions of the GA and PSO, and the optimal solutions are 0.587 and 0.792, respectively. On the other hand, analysis of numerical examples demonstrates that the Baron Solver is unable to solve large-scale numerical examples. Conclusions: By comparing the results of GA and PSO, it is observed that PSO was able to solve numerical examples in less time than GA, while GA obtained better results than PSO. Therefore, the TOPSIS method was used to rank the different solution methods, which resulted in GA being recognized as an effective algorithm with a utility weight of 0.972.
Citation: Logistics
PubDate: 2023-09-14
DOI: 10.3390/logistics7030064
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 65: Measuring Supply Chain Performance as SCOR
v13.0-Based in Disruptive Technology Era: Scale Development and Validation
Authors: Özden Özkanlısoy, Füsun Bulutlar
First page: 65
Abstract: Background: Supply chain performance measurement is an integral part of supply chain management today, as it makes many critical contributions to supply chains, especially for companies and supply chains to identify potential problems and improvement fields, evaluate the efficiency of processes, and enhance the health and success of supply chains. The purpose of this study is to contribute to future research and practical applications by presenting a more standard, comprehensive, and up-to-date measurement scale developed based on the SCOR model version 13.0 performance measures in the disruptive technology era. Methods: The study was performed in seven stages and the sample size consists of 227 companies for pilot data and 452 companies for the main data. The stages comprise item generation and purification, exploratory factor analysis for the pilot study and main study, confirmatory factor analysis for the main study, convergent, discriminant, and nomological validity appraisal, and investigation of bias effect. Results: The scale was developed and validated as a five-factor and thirty-one item structure. Conclusions: Some key trends and indicators must be followed today to perceive the landscape of future supply chains. This measurement scale closely follows the future supply chains. Additionally, the findings have been confirmed by the contributions of disruptive technologies and the conceptual structure of supply chain management.
Citation: Logistics
PubDate: 2023-09-18
DOI: 10.3390/logistics7030065
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 66: From Trash to Profit: How Packaging Waste
Management Has Driven the Circular Economy—An Integrative Literature
Review
Authors: Jorge Alfredo Cerqueira-Streit, Patrícia Guarnieri, Luciel Henrique de Oliveira, Jacques Demajorovic
First page: 66
Abstract: Background: The COVID-19 pandemic has intensified the need to adopt a restorative and regenerative model proposed by circular economy (CE). Methods: This article aims to identify the current status of packaging waste management in the CE context through an integrative literature review using Scopus and Web of Science databases. Using the Bibliometrix package, 162 articles were analyzed. Results: A bibliometric overview is presented, including the prominent authors and journals, and most cited articles, techniques and research methods used. Most of the analyzed articles are of the theoretical–empirical, quali–quantitative type, and plastic is the most studied material when a paper focused on one waste item. The contribution of packaging waste management for the transition to CE is discussed, highlighting important actions such as the replacement of materials to increase recyclability, the installation of voluntary delivery points associated with education programs focusing on the environment and support for cooperatives of waste pickers. In addition, a research agenda was developed that highlights the main gaps identified to guide future studies. Conclusion: Finally, the managerial contributions of the study are emphasized in particular by providing insight into the implementation of this model of growing international interest.
Citation: Logistics
PubDate: 2023-09-20
DOI: 10.3390/logistics7030066
Issue No: Vol. 7, No. 3 (2023)
- Logistics, Vol. 7, Pages 20: Management Food Waste in Municipality
Schools: An Analysis from a Circular Economy Perspective
Authors: Simone Sehnem, Lucia Godoi, Flavio Simioni, Cristina Martins, Sandro Vieira Soares, José Baltazar Salgueirinho Osório de Andrade Guerra, Tais Provensi
First page: 20
Abstract: Background: Food waste is a situation that triggers certain controversy, considering that there is still a significant number of people who do not have access to healthy and nutritious food every day. The management of food leftovers from school lunches depends on the creation of measurement mechanisms. Thus, current characteristics of schools should be identified in order to mitigate and better manage these leftovers. This study addresses this gap, that is, it seeks to understand how food waste management is carried out in schools from a circular economy perspective. Methods: Focusing on the management of school lunches in municipal schools, this study aims to build an inductive interpretive theory in order to understand how schools promote food waste management. Results: Loss estimates and their monetization were identified and explained, and alternatives for waste recovery using the ReSOLVE framework were proposed. Conclusions: Therefore, it was assumed that the perspective of circularity is a possible and viable way to manage food waste in school lunches. Stakeholder engagement and awareness raising become necessary premises for success in the food circularity journey.
Citation: Logistics
PubDate: 2023-03-31
DOI: 10.3390/logistics7020020
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 21: A Comparative Review of Air Drones (UAVs) and
Delivery Bots (SUGVs) for Automated Last Mile Home Delivery
Authors: Fang Li, Oliver Kunze
First page: 21
Abstract: Background: UAVs (Unmanned Aerial Vehicles) and SUGVs (Sidewalk Unmanned Ground Vehicles) are two prominent options to revolutionize last mile home delivery. However, there is no literature yet addressing a comprehensive assessment of them. To bridge this research gap, this paper aimed to compare UAVs to SUGVs in the context of urban parcel delivery from a practical, conceptual, technological, commercial, and environmental perspective. Methodology: Based on structured literature and web research, this paper provided a comparative status quo review of these two delivery concepts. We introduced a parameter-based cost calculus model to estimate the costs per shipment for each technology. To detect the key cost drivers, we applied a one-way sensitivity analysis, as well as a “full factorial design of experiment” approach. Results: These key cost drivers for both operations are the “number of vehicles per operator” and the “average beeline service radius”. From today’s commercial point of view, our model indicated better profitability of SUGVs. However, technical and regulatory developments may render different results in the future. As SUGVs emit significantly less noise than UAVs, we assume that SUGVs have an additional advantage for usage in autonomous urban last mile delivery from a resident’s perspective. Conclusions: Both key cost drivers will significantly influence the commercial viability of unmanned home delivery services. Safety and security aspects will determine regulatory rules on “number of vehicles per operator”. To increase the “average beeline service radius”, UAVs could profit from mothership delivery concepts while SUGV delivery may co-use existing public transport infrastructure.
Citation: Logistics
PubDate: 2023-04-03
DOI: 10.3390/logistics7020021
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 22: Evolution of Military Logistics
Authors: Aldemar Serrano, Dusko Kalenatic, Cesar López, Jairo R. Montoya-Torres
First page: 22
Abstract: Background: Military logistics has been present from the moment a soldier was created, and its evolution has been influenced by the technology used. Indeed, it has been observed over time that every military revolution was intrinsically caused by a military logistics revolution, directly promoted by the technology applied to the manner of making war. Few papers have been written about military logistics in relation to the development of war itself. Its application was conceptualized in two dimensions: as an art and as a science, interdependent on decision-making. With the evolution of human beings, the way of making war also evolved and therefore a transformation was generated. This makes it necessary to deepen the application of mathematical modeling, statistics, and new technologies in military logistics, promoting the application of concepts based on technology to improve the effectiveness of armies. The aim of this paper is to review the evolution of military logistics. Methods: A systematic approach to the literature review is followed. The backgrounds of the military logistics thought, key authors, trends and a new definition of military logistics is presented, among others. Results: The findings allow us to identify a set of 21 definitions of military logistics since 1792.
Citation: Logistics
PubDate: 2023-04-05
DOI: 10.3390/logistics7020022
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 23: Logistics Sector Turnover: Forecasting for
Turkey, EU27 and EA19 under Effects of COVID-19
Authors: Dursun Balkan, Goknur Arzu Akyuz
First page: 23
Abstract: Background: The logistics sector is the backbone of today’s global trade, and is vital for the continuity of goods and services. The sector is gaining increased importance as logistics operate under the extreme conditions the world is passing through (COVID-19, earthquakes, wars). Methods: A comparative study is offered for Turkey and the EU27 and EA19 countries utilizing Eurostat database time series data for logistics turnover, based on regression analysis with and without COVID-19-affected data. General trends are identified regarding the logistics turnover and average turnover by different transportation modes in Turkey. Linear, exponential, logarithmic and polynomial regressions are fitted to the dataset to find the best fit. Afterwards, forecasting is performed based on the polynomial equation, which is identified as the best fit. A similar approach is repeated for the EU27 and EA19 countries to put forward the trends and forecasts as well as a detailed comparative discussion among countries. Results: Our study reveals the dramatic effect of COVID-19 on the turnover of different logistics modes and the radical shift that Turkey experienced from land transportation towards air transportation. Conclusions: Our study provides forecasting and a comparative picture for the logistics sector, shows the growth trends with respect to different transportation modes and reveals the effects of the pandemic on the logistics sector for Turkey and the EU27 and EA19 countries.
Citation: Logistics
PubDate: 2023-04-07
DOI: 10.3390/logistics7020023
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 24: Applications of Industry 4.0 Technologies in
Warehouse Management: A Systematic Literature Review
Authors: Lihle N. Tikwayo, Tebello N. D. Mathaba
First page: 24
Abstract: Background: Recent literature indicates that warehouse management costs account for a significant portion of overall logistics costs in companies. Warehousing requires the classification, controlling and management of inventory as well as processing of related information. Therefore, adopting efficient and reasonable warehouse management measures to achieve effective management and control of materials is a key means to flexibly adjusting the supply and demand of storage materials and reduce operating costs. There remains a gap in the understanding of benefits and barriers to the full adoption of Industry 4.0 technologies and decision support systems (DSSs) in warehouse management. Methods: This work applies a systematic literature review methodology of recent implementation case studies to analyze documented barriers and benefits of Industry 4.0 technology adoption in warehouse management. For analysis, benefits and barriers are ranked in order of importance using Pareto analysis based on their frequency of occurrence. Results: Improved process efficiency, the availability of real-time data, added competitive advantage and the ability to integrate business activities digitally are the top four most important benefits of implementing Industry 4.0 technologies and decision support systems in warehouse management. The prominent barriers to implementation are high life cycle cost, challenging physical environment/layout, inadequate supporting resource constraints, increased security risk and high energy consumption. Conclusions: Barriers to implementing Industry 4.0 technologies are interrelated in nature and prevent businesses from realizing the full benefit of implemented Industry 4.0 technologies. Adequate financial support, new knowledge and skills are required to be able to ensure the successful implementation of Industry 4.0 in warehousing management.
Citation: Logistics
PubDate: 2023-04-13
DOI: 10.3390/logistics7020024
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 25: Digital Platforms and Supply Chain
Traceability for Robust Information and Effective Inventory Management:
The Mediating Role of Transparency
Authors: Muhammad Khan, Amal Nasser Alshahrani, Julija Jacquemod
First page: 25
Abstract: Background: This article’s main goal is to examine how digital platforms and supply chain traceability (SCT) might contribute to robust information and efficient inventory management (EIM); Methods: SmartPLS3 software was used in conjunction with the partial least squares structural equation modeling (PSL-SEM) technique. Using the snowball sampling method, the software was used to collect data from Pakistani supply chain (SC) specialists; Results: According to this study’s conclusions, robust information and inventory management using digital platforms and SC traceability depend greatly on transparency; Conclusions: Even though investing in digital platforms is a complex process including multiple internal and external parties, this study will be helpful for the decision-makers who make such decisions. The paper identifies research gaps and presents the potential for more research while also increasing awareness of digital platforms, traceability, and transparency in the SC system. There is a shortage of empirical evidence on how digital platforms and SCT lead to robust information and EIM through the mediation association of transparency, notwithstanding the abundance of research conducted on SCT and transparency.
Citation: Logistics
PubDate: 2023-04-19
DOI: 10.3390/logistics7020025
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 26: ChatGPT in Supply Chains: Initial Evidence of
Applications and Potential Research Agenda
Authors: Guilherme Francisco Frederico
First page: 26
Abstract: Background: ChatGPT has been largely discussed since it was launched in November 2022. Problem statement: the main approaches of ChatGPT in the recent and scarce literature are more focused on the impacts for general use, applied sciences and educational systems, which evidences a relevant gap for the management field, especially related to the supply chain area. Objectives: as a novel and initial contribution, this article aims to provide a viewpoint with the main applications and other issues regarding ChatGPT in supply chains, based on the initial discovered evidence. Methods: This viewpoint article is grounded on the few articles available in specialized magazines, blogs and company websites that approach potential applications and other issues of ChatGPT in supply chains, as a systematic literature review was not possible due to the absence of papers approaching the subject in the research databases. Contributions: this article contributes to the practitioners involved in supply chain activities who desire to have an initial and structured content related to the impacts and applications of ChatGPT on supply chains. It also seeks to encourage researchers on further research deployments in this field by presenting potential research agenda topics. Results: first evidence based on quality results from the analyzed content showed that, although it may take time until this technology evolves to a desirable level of maturity, it may be applied in different areas of supply chain management (e.g., route optimization, predictive maintenance, order shipment, customer and supplier relationships, data analysis, ordering process, automating invoices, reducing waste, workforce training and guidance, amongst others), with a potential generation of significant benefits such as cost reductions and the improvement of supply chain performance.
Citation: Logistics
PubDate: 2023-04-19
DOI: 10.3390/logistics7020026
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 27: Logistics and Supply Chain Resilience of
Japanese Companies: Perspectives from Impacts of the COVID-19 Pandemic
Authors: Rajali Maharjan, Hironori Kato
First page: 27
Abstract: Background: Enhancing the resilience of global supply chains has become of increasing priority in response to recent natural disasters and the COVID-19 pandemic. Methods: This paper presents findings from semi-structured interviews with five Japanese companies conducted between November 2020 and February 2021 to examine the impacts of the COVID-19 pandemic on different aspects of logistics and supply chain activities and resilience strategies implemented. The interviews focused on firms’ financial performance and the status of preparedness, response, and future plans from the perspective of logistics and supply chain resilience. Through interviews, we also investigated whether existing logistics and supply chain resilience strategies helped the companies avoid, withstand, respond to, or recover from the pandemic’s impacts. Results: The results indicated that the interviewed companies experienced both positive and negative impacts from the pandemic on their logistics and supply chain activities and experienced negative impacts mainly on their financial performance. Conclusions: A certain level of preparedness was observed; however, the levels of resilience preparedness, response, and future plans varied among companies with different attributes, such as industry type and organisation size.
Citation: Logistics
PubDate: 2023-05-04
DOI: 10.3390/logistics7020027
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 28: Cold Ironing: Socio-Economic Analysis in the
Port of Genoa
Authors: Monica Canepa, Fabio Ballini, Dimitrios Dalaklis, Giampaolo Frugone, Davide Sciutto
First page: 28
Abstract: Background: The emissions of ships in ports are increasingly becoming an issue, and particularly those of NOx, SOx, and PM, rather than CO2. One realistic solution for reducing GHG emissions is cold ironing technology. This paper highlights the socio-economic impact of increasing utilization of cold ironing in the port of Genoa, quantifying the achievable emissions reductions and estimating the effects over a defined time horizon. Methods: This research employs an interdisciplinary approach and uses quantitative data with a bottom-up approach for data collection. For the quantification of health costs, reference was made to the CAFE program, which defines a calculation method to estimate the external costs generated by polluting agents such as NH3, NOx, SO2, VOCs, and PM2.5. Results: Analysis of results shows the significant importance of relying on cold ironing and the importance of renewable port generation. Health cost savings using cold ironing and a different mix of generations are calculated, and these results strongly signal the importance of cold ironing. Conclusions: Cold ironing is indeed an effective anti-pollution measure. Its use to reduce polluting emissions is to be strongly recommended. Investments are cost-effective versus health costs and are sustainable by all parties.
Citation: Logistics
PubDate: 2023-05-10
DOI: 10.3390/logistics7020028
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 29: Multiple Linear Regression Analysis of
Canada’s Freight Transportation Framework
Authors: Jamileh Yousefi, Sahand Ashtab, Amirali Yasaei, Allu George, Ali Mukarram, Satinderpal Singh Sandhu
First page: 29
Abstract: Background: Finding trends in freight transportation activities enables businesses and policy makers to build an understanding of freight transportation patterns and their impact on logistics planning when making investments in a region’s transportation infrastructure and intermodal freight transport system. To the best of our knowledge, there is limited literature and data-driven analysis about trends in transportation mode choices and the influencing factors in Atlantic Canada. Methods: In this study, a data-driven method has been used to analyze the Canadian Freight dataset to identify trends in transportation activities within Maritime, Canada. Freight transportation mode, product categories, distance, number/weight of shipments, and revenue were examined. Results: The results revealed that the top five product categories exported from Atlantic provinces to the rest of Canada, the US, and Mexico are miscellaneous items, food products, forest products, minerals, and other manufactured goods, where Truck for Hire is the most deployed mode of transportation. A multiple linear regression analysis indicated that the weight, distance, and number of shipments are positively and rather strongly correlated with revenue generation. Conclusions: This study provides a unique overview of Canadian Freight Analysis Framework (CFAF) data with a focus on maritime activities.
Citation: Logistics
PubDate: 2023-05-15
DOI: 10.3390/logistics7020029
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 30: Smart Warehousing as a Wave of the Future
Authors: Hokey Min
First page: 30
Abstract: Background: The unprecedented supply chain disruptions caused by the prolonged COVID-19 pandemic forced many firms to change their way of doing business dramatically. These changes include quickly responding to the growing demand for online orders and the corresponding direct shipments to customer locations. These changes have been further accelerated by rapid technological innovations resulting from the fourth industrial revolution (Industry 4.0). One of the most notable technological transformations that we have witnessed is the growing popularity of smart warehousing concepts. Although smart warehousing may represent a wave of the warehousing future, the published literature rarely documents its underlying principles, specific application targets, and potential impacts on supply chain performance. This research aims to identify key drivers of the digital warehousing revolution and describe important value propositions for warehousing automation. Methods: To help companies develop smart warehouses successfully as an integral part of a supply chain link, I conceptualize an ideal smart warehousing system, design its basic architecture, propose specific milestones for monitoring the progress of smart warehouse development, and then, identify critical success factors for its full utilization in today’s volatile warehousing environment. This paper employed qualitative content analysis to conceptualize smart warehousing development and establish a smart warehousing framework. Results: A smart warehouse will bring many managerial benefits, including warehousing cost efficiency, labor productivity, and agility in the era of the knowledge economy. Conclusions: This paper will enable companies to accelerate digital transformation and improve their competitiveness amid the post-pandemic industrial revolution.
Citation: Logistics
PubDate: 2023-05-17
DOI: 10.3390/logistics7020030
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 31: A Rule-Based Predictive Model for Estimating
Human Impact Data in Natural Onset Disasters—The Case of a PRED
Model
Authors: Sara Rye, Emel Aktas
First page: 31
Abstract: Background: This paper proposes a framework to cope with the lack of data at the time of a disaster by employing predictive models. The framework can be used for disaster human impact assessment based on the socio-economic characteristics of the affected countries. Methods: A panel data of 4252 natural onset disasters between 1980 to 2020 is processed through concept drift phenomenon and rule-based classifiers, namely the Moving Average (MA). Results: Predictive model for Estimating Data (PRED) is developed as a decision-making platform based on the Disaster Severity Analysis (DSA) Technique. Conclusions: comparison with the real data shows that the platform can predict the human impact of a disaster (fatality, injured, homeless) with up to 3% error; thus, it is able to inform the selection of disaster relief partners for various disaster scenarios.
Citation: Logistics
PubDate: 2023-05-26
DOI: 10.3390/logistics7020031
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 32: Utilization of Free Trade Agreements to
Minimize Costs and Carbon Emissions in the Global Supply Chain for
Sustainable Logistics
Authors: Yuki Kinoshita, Takaki Nagao, Hiromasa Ijuin, Keisuke Nagasawa, Tetsuo Yamada, Surendra M. Gupta
First page: 32
Abstract: Background: Since global warming is a crucial worldwide issue, carbon tax has been introduced in the global supply chain as an environmental regulation for the reduction of greenhouse gas (GHG) emissions. Costs, GHG emissions, and carbon tax prices differ in each country due to economic conditions, energy mixes, and government policies. Additionally, multiple countries have signed a Free Trade Agreement (FTA). While FTAs result in their economic benefit, they also increase the risk of carbon leakage, which increases GHG emissions in the global supply chain due to relocation production sites from a country with stricter emission constraints to others with laxer ones. Method: This study proposes a mathematical model for decision support to minimize total costs involving carbon taxes with FTAs. Results: Our model determines suppliers, factory locations, and the number of transported parts and products with costs, FTAs, carbon taxes, and material-based GHG emissions estimated using the Life Cycle Inventory (LCI) database. The FTA utilization on the global low-carbon supply chain is examined by comparing the constructed supply chains with and without FTAs, and by conducting sensitivity analysis of carbon tax prices. Conclusions: We found that FTAs would not cause carbon leakage directly and would be effective for reducing GHG emissions economically.
Citation: Logistics
PubDate: 2023-06-01
DOI: 10.3390/logistics7020032
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 33: Analyzing the Implementation of Digital Twins
in the Agri-Food Supply Chain
Authors: Tsega Y. Melesse, Chiara Franciosi, Valentina Di Pasquale, Stefano Riemma
First page: 33
Abstract: Background: Digital twins have the potential to significantly improve the efficiency and sustainability of the agri-food supply chain by providing visibility, reducing bottlenecks, planning for contingencies, and improving existing processes and resources. Additionally, they can add value to businesses by lowering costs and boosting customer satisfaction. This study is aimed at responding to common scientific questions on the application of digital twins in the agri-food supply chain, focusing on the benefits, types, integration levels, key elements, implementation steps, and challenges. Methods: This article conducts a systematic literature review of recent works on agri-food supply chain digital twins, using a list of peer-reviewed studies to analyze concepts using precise and well-defined criteria. Thus, 50 papers were selected based on inclusion and exclusion criteria, and descriptive and content-wise analysis was conducted to answer the research questions. Conclusions: The implementation of digital twins has shown promising advancements in addressing global challenges in the agri-food supply chain. Despite encouraging signs of progress in the sector, the real-world application of this solution is still in its early stages. This article intends to provide firms, experts, and researchers with insights into future research directions, implications, and challenges on the topic.
Citation: Logistics
PubDate: 2023-06-12
DOI: 10.3390/logistics7020033
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 34: Production and Internal Logistics Flow
Improvements through the Application of Total Flow Management
Authors: Diana Filipe, Carina Pimentel
First page: 34
Abstract: Background: Nowadays, as a result of globalization, markets are more competitive, and customers are more demanding. To respond to these challenges, organizations must develop mechanisms for continuous improvement in order to eliminate waste and increase the efficiency and effectiveness of processes. Thus, the present study carried out at an industrial unit responsible for the customization of cork stoppers for wines had as its main objectives to identify and eliminate or at least reduce waste; improve production and internal logistics flows; balance workloads; improve productivity; reduce lead time; motivate employees and promote the spirit of continuous improvement. Methods: The action-research methodology was used, whereby several cycles of data recovery and analysis, identification and implementation of opportunities for improvement, assessment and standardization were carried out. Therefore, the Total Flow Management (TFM) model was implemented, and several methods and tools were used, such as Value Stream Mapping (VSM), work measurement and 5S’s. Results: Several wastes and overloads were identified, and some actions were implemented, such as workload balancing, layout changes, implementation of visual management and supermarkets. That said, it was possible to reduce lead time by 4 days, improve productivity from 26.63 ML (a thousand cork stoppers)/h to 35.75 ML/h, and promote flexibility. In addition, employees were motivated, and a culture of continuous improvement was fostered. Conclusions: This project demonstrated that it is possible to implement improvement actions, with good results, without high investments, as well as motivating employees and taking advantage of their best capabilities. Additionally, it was demonstrated that the use of TFM can be very useful in continuous improvement, with evident improvements in production and internal logistics flows. So, this project demonstrated the practical implementation of TFM regarding basic reliability, production and internal logistics flow, and the simultaneous use of several methods and tools to implement continuous improvement. Thus, significant improvements were possible on the factory floor, as well as improving employee motivation their personal development and encouraging the focus on continuous improvement. Therefore, it responds to the gap identified in the literature.
Citation: Logistics
PubDate: 2023-06-16
DOI: 10.3390/logistics7020034
Issue No: Vol. 7, No. 2 (2023)
- Logistics, Vol. 7, Pages 1: The Impact of Digital Technologies and
Sustainable Practices on Circular Supply Chain Management
Authors: Sara Romagnoli, Claudia Tarabu', Behzad Maleki Vishkaei, Pietro De Giovanni
First page: 1
Abstract: Background: This study investigates how firms can enhance the functionality of their circular supply chains (CSCs) by adopting a portfolio of sustainable practices as well as digital technologies to increase performance. It analyzes the benefits that firms can obtain when investing in specific technologies to boost the impact of technologies and sustainable practices on CSCs, and further increase performance. Methods: We test several hypotheses by using structural equation modeling as well as multi-group analysis to verify whether CSCs can be achieved through sustainable practices and technologies and improve the firms’ performance. Results: The empirical results partially support the research hypotheses. While the main research hypotheses are fully supported, the analysis of single digital technologies reveals that only a few solutions can contribute to both the management and the improvement of the CSC. Conclusions: Our findings demonstrate that the identification of green suppliers and ad hoc environmental regulations, combined with attention to the origin and provenance of raw materials, can promote a CSC. Moreover, transportation management systems (TMS) and the internet of things (IoT) are efficient technologies for managing transportation and product flow in the CSC. Furthermore, machine learning (ML) is effective in making positive green decisions, and 3D printing can extend product life.
Citation: Logistics
PubDate: 2023-01-03
DOI: 10.3390/logistics7010001
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 2: A Simulation Approach for Waste Reduction in
the Bread Supply Chain
Authors: Arvind Bhardwaj, Rachit Soni, Lakhwinder Pal Singh, Rahul S Mor
First page: 2
Abstract: Background: Bread, a basic need for the survival of human beings, is highly perishable, has a short shelf-life, and loses its quality and potency after its date of expiry. This leads to a considerable amount of bread waste and loss in the economy. This study explores and analyses the most common causes of wastage in the bread supply chain and proposes key strategies for waste mitigation in bread-producing industries in the context of Indian bakeries. Methods: Based on a systematic literature review and pilot studies, Monte-Carlo simulation techniques were applied to conduct the analysis. Results: The results indicate that bread should be recalled from the market after three days rather than the usual six, and the strategy used by companies A and E (in this study) is recommended. Conclusions: These tactics ensure that any bread returned to the company is in great condition, giving us two to three days to transform the bread into some by-products. It will help managers, decision makers, and specialists create a successful waste-reduction strategy.
Citation: Logistics
PubDate: 2023-01-03
DOI: 10.3390/logistics7010002
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 3: Designing a New Location-Allocation and
Routing Model with Simultaneous Pick-Up and Delivery in a Closed-Loop
Supply Chain Network under Uncertainty
Authors: Mehrnaz Bathaee, Hamed Nozari, Agnieszka Szmelter-Jarosz
First page: 3
Abstract: Background: In this paper, a new closed-loop supply chain (CLSC) network model, including economic, social and environmental goals, is designed. This paper’s primary purpose is to meet customers’ uncertain demands in different scenarios where the new robust-fuzzy-probabilistic method has been used to estimate the exact demand. Furthermore, strategic and tactical decisions, such as vehicle routing, facility location and optimal flow allocation in the CLSC network, are considered, and features such as queuing system in product distribution and time window in product delivery are considered. Methods: To solve the problem, NSGA II and MOPSO have been used. Results: The results of solving numerical examples in larger sizes show that as the environmental effects decrease and the social effects increase, the design costs of the total supply chain network (SCN) increase. Moreover, the NSGA II is more efficient than the MOPSO in problem-solving and achieving comparison indicators. Conclusions: The results of sensitivity analysis show that with increasing network uncertainty rate, the total costs of the SCN, the amount of greenhouse gas emissions and the maximum vehicle traffic time increase.
Citation: Logistics
PubDate: 2023-01-10
DOI: 10.3390/logistics7010003
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 4: Acknowledgment to the Reviewers of Logistics
in 2022
Authors: Logistics Editorial Office Logistics Editorial Office
First page: 4
Abstract: High-quality academic publishing is built on rigorous peer review [...]
Citation: Logistics
PubDate: 2023-01-13
DOI: 10.3390/logistics7010004
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 5: Location Allocation of Biorefineries for a
Switchgrass-Based Bioethanol Supply Chain Using Energy Consumption and
Emissions
Authors: Seyed Ali Haji Esmaeili, Ahmad Sobhani, Sajad Ebrahimi, Joseph Szmerekovsky, Alan Dybing, Amin Keramati
First page: 5
Abstract: Background: Due to the growing demand for energy and environmental issues related to using fossil fuels, it is becoming tremendously important to find alternative energy sources. Bioethanol produced from switchgrass is considered as one of the best alternatives to fossil fuels. Methods: This study develops a two-stage supply chain modeling approach that first determines feasible locations for constructing switchgrass-based biorefineries in the state of North Dakota by using Geographic Information Systems (GIS) analysis. In the second stage, the profit of the corresponding switchgrass-based bioethanol supply chain is maximized by developing a mixed-integer linear program that aims to commercialize the bioethanol production while impacts of energy use and carbon emission costs on the supply chain decisions and siting of biorefineries are included. Results: The numerical results show that carbon emissions and energy consumption penalties affect optimal biorefinery selections and supply chain decisions. Conclusions: We conclude that there is no need to penalize both emissions and energy use simultaneously to achieve desirable environmental benefits, otherwise, the supply chain becomes non-profitable. Moreover, imposing emissions or energy consumption penalties makes the optimization model closer to supply sources while having higher land rental costs. Such policies would promote sustainable second-generation biomass production, thus decreasing reliance on fossil fuels.
Citation: Logistics
PubDate: 2023-01-17
DOI: 10.3390/logistics7010005
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 6: Scope for Sustainable Development of Small
Holder Farmers in the Palm Oil Supply Chain—A Systematic Literature
Review and Thematic Scientific Mapping
Authors: Ahmed Zainul Abideen, Veera Pandiyan Kaliani Sundram, Shahryar Sorooshian
First page: 6
Abstract: Background: The expansion of oil palm agriculture across the nations, especially in countries such as Malaysia and Indonesia, is growing at exacerbated levels. However, there is still a lack of awareness of the environmental, social, and economic challenges among the sector, ranging from the combination of ecological, economic, and ecosystem sustainability to the livelihoods of plantation workers and small holder communities. Small holders struggle to attain the primary standards on market governance, debt-free livelihood enhancements, certification norms, proper land rights and usage, outsourcing quality seeds, harvesting technologies, labor usage, etc. Method: There is a need to systematize the existing literature toward one that addresses the most fundamental and urgent questions that govern the palm oil small holder sustainability in the palm oil supply chain. The objective of this article is two-fold. One approach was to undertake an integrated systematic review and thematic scientific mapping of the last 10 years of research effort (2009–2020) on the specified research agenda, using data from the Web of Science (WoS) core collection database. Another objective was to gain insights and research direction. Results: The defined gaps and insights from the study helped to form the basis for developing a conceptual framework for achieving the sustainability and livelihood of small holders in the palm oil sector. Conclusions: There is a stringent need to focus on the sustainability factors of small holders in the palm oil upstream logistics to address and improve the overall efficiency of the supply chain.
Citation: Logistics
PubDate: 2023-01-19
DOI: 10.3390/logistics7010006
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 7: Design of a Company-Engagement Model for
Procurement and Supply Management Classes
Authors: Remko van Hoek, Dominique Lebigot
First page: 7
Abstract: Background: There are opportunities to enrich procurement and supply management classes to be more international and to engage with industry more deeply. Methods: Using a design science method this paper develops a course design for teaching procurement that enriches existing approaches to company engagement in courses. Results: Beyond the use of stand-alone guest lectures, case studies, or in-company projects, the design involved semester-long collaboration around core topics for the course, involving company lectures and multiple student projects aligned with the course topics, engaging multiple levels of managers from around the globe. Based upon an evaluation of the first-year collaboration, improvements were identified that were implemented in year two of the collaboration. Conclsuions: The design brings course learning into a real-world context and supports student skill development through project work.
Citation: Logistics
PubDate: 2023-01-28
DOI: 10.3390/logistics7010007
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 8: The Role of the Top 50 US Cargo Airports and
25 Air Cargo Airlines in the Logistics of E-Commerce Companies
Authors: Lázaro Florido-Benítez
First page: 8
Abstract: Background: The purpose of this study is to analyse the role of the main 50 US cargo airports and 25 air cargo airlines in the logistics of e-commerce companies from 2000 to 2020, to highlight the importance of airports in the logistics and e-commerce industries. Methods: A review of the relevant literature on airports, air cargo carriers, logistics, and e-commerce sectors was undertaken to understand the link between them. The data were collected using four criteria: airport category, airport location, top 25 air cargo carriers, and other relevant data from the Federal Aviation Administration, International Air Transport Association, Organization for Economic Co-operation and Development, US Department of Transportation, amongst many others. Results: The findings reveal that there is a consolidated relationship between airports, air cargo airlines, and e-commerce, which has been especially evident during the COVID-19 pandemic. Airports and air cargo carriers are identified as the most relevant partners in the e-commerce industry. This is because of the e-commerce sector and its users’ demand for speed and reliability in the interaction between the demand for and supply of products and services. Conclusions: The pandemic has changed the way in which organizations operate and is likely to create new demand from companies and users in the aviation and e-commerce industries. E-commerce companies are highly dependent on the quality and efficiency of air cargo airlines and airports because they need to provide a good shipping service for their products to customers.
Citation: Logistics
PubDate: 2023-02-01
DOI: 10.3390/logistics7010008
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 9: Supply Chain 4.0: New Generation of Supply
Chain Management
Authors: Xue-Ming Yuan, Anrong Xue
First page: 9
Abstract: Industry 4 [...]
Citation: Logistics
PubDate: 2023-02-01
DOI: 10.3390/logistics7010009
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 10: Locating Collection and Delivery Points Using
the p-Median Location Problem
Authors: Snežana Tadić, Mladen Krstić, Željko Stević, Miloš Veljović
First page: 10
Abstract: Background: Possible solutions to overcome the many challenges of home delivery are collection and delivery points (CDPs). In addition to commercial facilities, the role of CDPs can also be played by users’ households, providing a crowd storage service. Key decisions regarding CDPs relate to their location, as well as the allocation of users to selected locations, so that the distance of users from CDPs is minimal. Methods: In this paper, the described problem is defined as a p-median problem and solved for the area of the city of Belgrade, using the heuristic “greedy” and the simulated annealing algorithm. Results: Fifty locations of CDPs were selected and the users allocated to them were distributed in over 950 zones. The individual distances between users and the nearest CDPs and the sum of these distances, multiplied by the number of requests, were obtained. An example of modification of the number of CDPs is presented as a way of obtaining solutions that correspond to different preferences of operators and/or users in terms of their distances from the CDPs. Conclusions: User households can be used as CDPs to achieve various benefits. Locating CDPs, i.e., selecting households, can be solved as a p-median problem, using a combination of heuristic and metaheuristic algorithms. In addition, by modifying the number of medians, the total and average distances between users and CDPs can be better managed. The main contributions of the paper are the establishment of users’ households as potential locations of CDPs, the establishment of a framework for analysis of impact of the number of CDPs on the sum and average distances from the customers, as well as the creation of a basis for upgrading and modifying the model for implementation in the business practice.
Citation: Logistics
PubDate: 2023-02-06
DOI: 10.3390/logistics7010010
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 11: Logistics Service Providers and Industry 4.0:
A Systematic Literature Review
Authors: Ricardo Moreira da Silva, Guilherme Francisco Frederico, Jose Arturo Garza-Reyes
First page: 11
Abstract: Background: Industry 4.0 is one of the topics related to manufacturing, supply chain and logistics that has received great interest from the academic community, organizations and governments in the last decade. Problem statement: Several published articles discuss and seek to conceptualize what the fourth industrial revolution is, but no research relates Industry 4.0 in the context of logistics service providers (LSPs) in a clear and structured way. Objectives: This study aims to fill this research gap, proposing a conceptual framework and addressing the challenges, barriers and organizational dimensions that need adaptation to insert LSPs in the new Industry 4.0 environment. Methods: This theoretical and conceptual study uses the Systematic Literature Review (SLR) as a research method to understand the Industry 4.0 phenomenon in the context of LSPs. Contributions: The relevant constructs identified in this research will help professionals and organizations that provide logistics services to develop strategies and encourage new research in the field of Industry 4.0 from the perspective of LSPs. Results: In addition, this research identified and generally consolidated six dimensions, as a result of this innovative study a conceptual framework is presented.
Citation: Logistics
PubDate: 2023-02-09
DOI: 10.3390/logistics7010011
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 12: Knowledge-Based Human Resource Management,
Logistics Capability, and Organizational Performance in Small Finnish
Logistics Service Providers
Authors: Pietro Evangelista, Aino Kianto, Henri Hussinki, Mika Vanhala, Anna-Maija Nisula
First page: 12
Abstract: Background: In the current knowledge age, the performance of logistics firms increasingly depends on knowledge and capabilities they can leverage in value-creation processes. The objective of this paper is to investigate the relationship between knowledge-based human resource management (HRM) practices and organizational performance mediated by logistics capability. Methods: Data from 93 small Finnish logistics service providers was collected by a questionnaire survey. Structural equation modeling and partial least squares analysis were used to test the hypothesized relationships between HRM practices and the organizational performance of logistics companies, as well as the mediating impact of logistics capability. Results: The results demonstrate that logistics capability fully mediates the relationship between HRM practices and the organizational performance of small logistics companies. Each of the three knowledge-based HRM practices—knowledge-based recruitment, training and development, and motivation—significantly influences logistics capability, which is, in turn, associated with the organizational performance of companies. Conclusions: This paper is one of the few among discussing knowledge-based HRM practices in logistics service research. The paper contributes to the literature on logistics by demonstrating the value of knowledge-based HRM practices in acquiring, developing, and leveraging knowledge to create organizational capabilities and ensure organizational performance. This study provides an improved understanding of the role of HRM and the resulting logistics capability in the performance of small logistics service companies.
Citation: Logistics
PubDate: 2023-02-17
DOI: 10.3390/logistics7010012
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 13: The Effects of Strategic Procurement 4.0
Performance on Organizational Competitiveness in the Circular Economy
Authors: Răzvan-Andrei Corboș, Ovidiu-Iulian Bunea, Daniel-Constantin Jiroveanu
First page: 13
Abstract: Background: This study aims to identify how and if strategic procurement 4.0 performance influences competitiveness under circular economy conditions. In this regard, to achieve the aim of the study, we examine the moderating and mediating effects of strategic procurement 4.0 performance. In addition, the paper explores the role of procurement 4.0 in the circular economy and its impact on organizational competitiveness, with a focus on the mediating factors in the relationship between manager attitudes and competitiveness, making a significant contribution to the emerging research in this field. Methods: The results of a two-way moderated multiple regression analysis showed that there is an effect that intensifies the relationship between the variables being studied. Mediating effects were tested using Smart PLS-4 and the results showed significant mediating effects of strategy for procurement 4.0 and planning for procurement 4.0. Results: The study found that organizations with high strategic procurement 4.0 performance and high circular economy openness have the highest level of competitiveness. However, low levels of circular economy openness result in similar competitiveness levels regardless of low or average strategic procurement 4.0 performance. Conclusions: We found that strategic procurement 4.0, aligned with sustainability goals and incorporating digital technologies, leads to increased competitiveness in the context of the circular economy, as demonstrated in the Romanian business environment. Moreover, our study highlights the importance of strategic training in procurement 4.0, the need for a three-level approach in procurement strategy, planning, and performance review, and the significance of considering non-financial aspects in competitiveness and innovation within the context of a circular economy.
Citation: Logistics
PubDate: 2023-02-24
DOI: 10.3390/logistics7010013
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 14: A Mixed-Integer Linear Formulation for a
Dynamic Modified Stochastic p-Median Problem in a Competitive Supply Chain
Network Design
Authors: Amir Hossein Sadeghi, Ziyuan Sun, Amirreza Sahebi-Fakhrabad, Hamid Arzani, Robert Handfield
First page: 14
Abstract: Background: The Dynamic Modified Stochastic p-Median Problem (DMS-p-MP) is an important problem in supply chain network design, as it deals with the optimal location of facilities and the allocation of demand in a dynamic and uncertain environment. Methods: In this research paper, we propose a mixed-integer linear formulation for the DMS-p-MP, which captures the key features of the problem and allows for efficient solution methods. The DMS-p-MP adds two key features to the classical problem: (1) it considers the dynamic nature of the problem, where the demand is uncertain and changes over time, and (2) it allows for the modification of the facility locations over time, subject to a fixed number of modifications. The proposed model uses robust optimization in order to address the uncertainty of demand by allowing for the optimization of solutions that are not overly sensitive to small changes in the data or parameters. To manage the computational challenges presented by large-scale DMS-p-MP networks, a Lagrangian relaxation (LR) algorithm is employed. Results: Our computational study in a real-life case study demonstrates the effectiveness of the proposed formulation in solving the DMS p-Median Problem. The results show that the number of opened and closed buildings remains unchanged as the time horizon increases due to the periodic nature of our demand. Conclusions: This formulation can be applied to real-world problems, providing decision-makers with an effective tool to optimize their supply chain network design in a dynamic and uncertain environment.
Citation: Logistics
PubDate: 2023-03-02
DOI: 10.3390/logistics7010014
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 15: Retraction: Mouafo Nebot, G.V.; Wang, H. Port
Terminal Performance Evaluation and Modeling. Logistics 2022, 6, 10
Authors: Giscard Valonne Mouafo Nebot, Haiyan Wang
First page: 15
Abstract: The journal Logistics retracts the article “Port Terminal Performance Evaluation and Modeling” [...]
Citation: Logistics
PubDate: 2023-03-03
DOI: 10.3390/logistics7010015
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 16: Production Inventory Optimization Considering
Direct and Indirect Carbon Emissions under a Cap-and-Trade Regulation
Authors: Yosef Daryanto, Djoko Setyanto
First page: 16
Abstract: Background: The latest global agreement on net-zero emissions encourages new studies on production inventory optimization that promote carbon emissions reduction without harming a company’s profit performance, particularly because certain carbon-pricing regulations bind manufacturing companies. Methods: This study aims to develop a production inventory model that considers direct and indirect emissions in three emission scopes. It incorporates emissions from production, material handling, transportation, and waste disposal for further treatment under a carbon cap-and-trade regulation. With the help of Maple software, a convex total cost function was solved. Results: The results show that the optimum production quantity depends on the values of demand, setup cost, holding cost, fixed cost per delivery, fixed cost for waste disposal, and other parameters related to carbon prices. This study also found that the total cost was highly dependent on the values of the carbon cap, carbon price, and delivery distance. Meanwhile, changes in the delivery distance and fuel emissions standard significantly impacted total emissions. Conclusions: The proposed model can guide manufacturing companies in setting the optimum production quantity per cycle. Moreover, they must carefully manage the delivery and setting of the carbon cap and carbon price from the government.
Citation: Logistics
PubDate: 2023-03-14
DOI: 10.3390/logistics7010016
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 17: Industry 4.0 and Industrial Robots: A Study
from the Perspective of Manufacturing Company Employees
Authors: Şemsettin Çiğdem, Ieva Meidute-Kavaliauskiene, Bülent Yıldız
First page: 17
Abstract: Background: Human–robot collaboration is essential for efficient manufacturing and logistics as robots are increasingly used. Using industrial robots as part of an automation system results in many competitive benefits, including improved quality, efficiency, productivity, and reduced waste and errors. When robots are used in production, human coworkers’ psychological factors can disrupt operations. This study aims to examine the effect of employees’ negative attitudes toward robots on their acceptance of robot technology in manufacturing workplaces. Methods: A survey was conducted with employees in manufacturing companies to collect data on their attitudes towards robots and their willingness to work with them. Data was collected from 499 factory workers in Istanbul using a convenience sampling method, which allowed for the measurement of variables and the analysis of their effects on each other. To analyze the data, structural equation modeling was used. Results: The results indicate that negative attitudes towards robots have a significant negative effect on the acceptance of robot technology in manufacturing workplaces. However, trust in robots was found to be a positive predictor of acceptance. Conclusions: These findings have important implications for manufacturing companies seeking to integrate robot technology into their operations. Addressing employees’ negative attitudes towards robots and building trust in robot technology can increase the acceptance of robots in manufacturing workplaces, leading to improved efficiency and productivity.
Citation: Logistics
PubDate: 2023-03-15
DOI: 10.3390/logistics7010017
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 18: A Sustainable Two-Echelon Logistics Model
with Shipment Consolidation
Authors: Noha A. Mostafa, Omar Eldebaiky
First page: 18
Abstract: Background: Shipment consolidation is a concept in logistics management in which two or more shipments are transported by using the same vehicle with the aim of using less resources. Methods: The objective of this manuscript is to study shipment consolidation and assess its impact on cost environment, to achieve this, a mathematical model was developed to optimize shipment consolidation while reducing the emissions and minimizing the costs. Results: A case study from major dairy products manufacturers in Egypt was used to validate the model and evaluate the outcomes. A comparison was made between two transportation models, with and without consolidation. Results show that shipment consolidation reduced the total costs by 40% in addition to consuming less fuel, and consequently producing less emissions. Conclusions: These findings emphasize the importance of shipment consolidation and how it can be used to achieve more sustainability in logistics management.
Citation: Logistics
PubDate: 2023-03-19
DOI: 10.3390/logistics7010018
Issue No: Vol. 7, No. 1 (2023)
- Logistics, Vol. 7, Pages 19: Toward Greening City Logistics: A Systematic
Review on Corporate Governance and Social Responsibility in Managing Urban
Distribution Centers
Authors: Bahareh Mansouri, Subhasmita Sahu, M. Ali Ülkü
First page: 19
Abstract: Background: The ramifications of climate change are rampant: All stakeholders must act effectively and swiftly. Unsustainable and increased urbanization adds additional strain on combatting environmental degradation. Since the last decade, urban distribution centers (UDCs) have emerged in response to the steep rise in urban freight transportation and its negative impact on city congestion and air quality. Methods: In this paper, we conduct a comprehensive review of the performance of UDCs and investigate its alignment with the corporate governance (CG) and corporate social responsibility (CSR) initiatives, including the shareholders’ governance strategies and policies, as well as environmental, social, and economic measures. Our systematic literature review consists of multiple phases: In the first one, we utilize bibliometric tools to implement a quantitative analysis of the extant literature. Next, a cluster-based network analysis complements this analysis to describe the evolution of research in this area. Results: Our descriptive analysis categorizes existing research on UDCs based on CG- and CSR-compliant themes. We classify pertinent peer-reviewed articles into topical clusters and offer research opportunities related to improving the performance of UDCs. Conclusions: This study aims to stimulate further scholarly inquiry into sustainable city logistics and provides a knowledge-based guide for academicians and practitioners, logistics service providers, policymakers, and customers.
Citation: Logistics
PubDate: 2023-03-21
DOI: 10.3390/logistics7010019
Issue No: Vol. 7, No. 1 (2023)
