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Showing 1 - 137 of 137 Journals sorted alphabetically
Asia Pacific Journal of Marketing and Logistics     Hybrid Journal   (Followers: 8)
Asian Journal of Marketing     Open Access   (Followers: 6)
Australasian Marketing Journal (AMJ)     Hybrid Journal   (Followers: 4)
BMC Health Services Research     Open Access   (Followers: 26)
Capital Markets Law Journal     Hybrid Journal   (Followers: 4)
Cleaner Environmental Systems     Open Access  
Cleaner Production Letters     Hybrid Journal  
Cleaner Waste Systems     Open Access   (Followers: 10)
Consumption Markets & Culture     Hybrid Journal   (Followers: 6)
Customer Needs and Solutions     Hybrid Journal   (Followers: 4)
Direct Marketing An International Journal     Hybrid Journal   (Followers: 4)
Disaster Prevention and Management     Hybrid Journal   (Followers: 27)
Economic & Labour Market Review     Hybrid Journal   (Followers: 13)
Electronic Markets     Hybrid Journal   (Followers: 6)
Emerging Markets Review     Hybrid Journal   (Followers: 10)
European Journal of Marketing     Hybrid Journal   (Followers: 22)
Financial Markets, Institutions & Instruments     Hybrid Journal   (Followers: 38)
Food Packaging and Shelf Life     Hybrid Journal   (Followers: 3)
Foundations and Trends® in Marketing     Full-text available via subscription   (Followers: 12)
Future Business Journal     Open Access   (Followers: 2)
Global Journal of Emerging Market Economies     Hybrid Journal   (Followers: 1)
Health Services and Outcomes Research Methodology     Hybrid Journal   (Followers: 6)
Health Services Management Research     Hybrid Journal   (Followers: 16)
Health Services Research     Hybrid Journal   (Followers: 20)
i+Diseño : Revista científico-académica internacional de Innovación, Investigación y Desarrollo en Diseño     Open Access  
Independent Journal of Management & Production     Open Access   (Followers: 1)
Ingeniería y Competitividad     Open Access  
International Journal of Advanced Operations Management     Hybrid Journal   (Followers: 7)
International Journal of Bank Marketing     Hybrid Journal   (Followers: 4)
International Journal of Business and Emerging Markets     Hybrid Journal   (Followers: 1)
International Journal of Business Forecasting and Marketing Intelligence     Hybrid Journal   (Followers: 3)
International Journal of Electronic Marketing and Retailing     Hybrid Journal   (Followers: 5)
International Journal of Emerging Markets     Hybrid Journal   (Followers: 3)
International Journal of Entrepreneurial Venturing     Hybrid Journal   (Followers: 1)
International Journal of Financial Services Management     Hybrid Journal   (Followers: 1)
International Journal of Information Systems and Supply Chain Management     Full-text available via subscription   (Followers: 9)
International Journal of Inventory Research     Hybrid Journal  
International Journal of Lean Six Sigma     Hybrid Journal   (Followers: 8)
International Journal of Logistics Economics and Globalisation     Hybrid Journal   (Followers: 3)
International Journal of Managing Projects in Business     Hybrid Journal   (Followers: 3)
International Journal of Market Research     Hybrid Journal   (Followers: 14)
International Journal of Nonprofit & Voluntary Sector Marketing     Hybrid Journal   (Followers: 7)
International Journal of Pharmaceutical and Healthcare Marketing     Hybrid Journal   (Followers: 4)
International Journal of Planning and Scheduling     Hybrid Journal   (Followers: 2)
International Journal of Product Development     Hybrid Journal   (Followers: 1)
International Journal of Production Economics     Hybrid Journal   (Followers: 19)
International Journal of Production Management and Engineering     Open Access   (Followers: 4)
International Journal of Production Research     Hybrid Journal   (Followers: 13)
International Journal of Productivity and Quality Management     Hybrid Journal   (Followers: 4)
International Journal of Quality and Service Sciences     Hybrid Journal   (Followers: 2)
International Journal of Quality Innovation     Open Access   (Followers: 4)
International Journal of Research in Marketing     Hybrid Journal   (Followers: 17)
International Journal of Service Industry Management     Hybrid Journal   (Followers: 2)
International Journal of Services and Standards     Hybrid Journal   (Followers: 1)
International Journal of Services Operations and Informatics     Hybrid Journal   (Followers: 1)
International Journal of Services Sciences     Hybrid Journal  
International Journal of Supply Chain and Inventory Management     Hybrid Journal   (Followers: 6)
International Journal of Supply Chain and Operations Resilience     Hybrid Journal   (Followers: 2)
International Journal of Supply Chain Management     Open Access   (Followers: 14)
International Journal of Systems Science : Operations & Logistics     Hybrid Journal  
International Journal of Technology Marketing     Hybrid Journal   (Followers: 3)
International Journal of Trade and Global Markets     Hybrid Journal   (Followers: 2)
Internet Reference Services Quarterly     Hybrid Journal   (Followers: 33)
JCMS : Journal of Common Market Studies     Hybrid Journal   (Followers: 50)
Journal of Advances in Management Research     Hybrid Journal   (Followers: 1)
Journal of Benefit-Cost Analysis     Hybrid Journal   (Followers: 2)
Journal of Business & Industrial Marketing     Hybrid Journal   (Followers: 8)
Journal of Business Logistics     Hybrid Journal   (Followers: 8)
Journal of Business Venturing     Hybrid Journal   (Followers: 29)
Journal of Cleaner Production     Hybrid Journal   (Followers: 27)
Journal of Consumer Marketing     Hybrid Journal   (Followers: 19)
Journal of Database Marketing & Customer Strategy Management     Hybrid Journal   (Followers: 5)
Journal of Direct Data and Digital Marketing Practice     Hybrid Journal   (Followers: 7)
Journal of Emerging Knowledge on Emerging Markets     Open Access  
Journal of Entrepreneurial Finance     Open Access   (Followers: 1)
Journal of Financial Markets     Hybrid Journal   (Followers: 28)
Journal of Food Products Marketing     Hybrid Journal   (Followers: 1)
Journal of Foodservice Business Research     Hybrid Journal  
Journal of Global Marketing     Hybrid Journal   (Followers: 3)
Journal of Global Operations and Strategic Sourcing     Hybrid Journal   (Followers: 1)
Journal of Health Services Research and Policy     Hybrid Journal   (Followers: 16)
Journal of International Consumer Marketing     Hybrid Journal   (Followers: 9)
Journal of International Financial Markets, Institutions and Money     Hybrid Journal   (Followers: 19)
Journal of Loss Prevention in the Process Industries     Hybrid Journal   (Followers: 7)
Journal of Marketing     Full-text available via subscription   (Followers: 53)
Journal of Marketing Communications     Hybrid Journal   (Followers: 11)
Journal of Marketing Education     Hybrid Journal   (Followers: 7)
Journal of Marketing Research     Full-text available via subscription   (Followers: 73)
Journal of Nonprofit & Public Sector Marketing     Hybrid Journal   (Followers: 5)
Journal of Operations and Supply Chain Management     Open Access   (Followers: 5)
Journal of Political Marketing     Hybrid Journal   (Followers: 3)
Journal of Prediction Markets     Full-text available via subscription   (Followers: 1)
Journal of Product Innovation Management     Hybrid Journal   (Followers: 23)
Journal of Production Research & Management     Full-text available via subscription   (Followers: 3)
Journal of Productivity Analysis     Hybrid Journal   (Followers: 4)
Journal of Progressive Human Services     Hybrid Journal   (Followers: 1)
Journal of Public Policy & Marketing     Full-text available via subscription   (Followers: 14)
Journal of Relationship Marketing     Hybrid Journal   (Followers: 7)
Journal of Retailing and Consumer Services     Hybrid Journal   (Followers: 5)
Journal of Service Research     Hybrid Journal   (Followers: 6)
Journal of Services Marketing     Hybrid Journal   (Followers: 11)
Journal of Strategic Marketing     Hybrid Journal   (Followers: 9)
Journal of Targeting Measurement and Analysis for Marketing     Hybrid Journal   (Followers: 1)
Journal of Technology Management & Innovation     Open Access   (Followers: 5)
Journal of the Academy of Marketing Science     Hybrid Journal   (Followers: 26)
Journal of Vacation Marketing     Hybrid Journal   (Followers: 2)
Logistics     Open Access   (Followers: 1)
Logistics Journal     Open Access   (Followers: 2)
Management and Administrative Sciences Review     Open Access  
Management and Production Engineering Review     Open Access   (Followers: 1)
Manufacturing & Service Operations Management     Full-text available via subscription   (Followers: 17)
Marketing Intelligence & Planning     Hybrid Journal   (Followers: 4)
Marketing Letters     Hybrid Journal   (Followers: 10)
Marketing Review     Full-text available via subscription  
Marketing Science     Full-text available via subscription   (Followers: 36)
Psychological Services     Full-text available via subscription   (Followers: 4)
Psychology & Marketing     Hybrid Journal   (Followers: 11)
Qualitative Market Research: An International Journal     Hybrid Journal   (Followers: 3)
Quantitative Marketing and Economics     Hybrid Journal   (Followers: 4)
Reproduction Fertility and Development     Hybrid Journal   (Followers: 4)
Review of Pacific Basin Financial Markets and Policies     Hybrid Journal  
Revista Eletrônica Academicus     Open Access  
Revue Interventions économiques     Open Access   (Followers: 1)
Service Business     Hybrid Journal   (Followers: 1)
Service Oriented Computing and Applications     Hybrid Journal   (Followers: 2)
Service Science     Full-text available via subscription   (Followers: 1)
Services Marketing Quarterly     Hybrid Journal   (Followers: 5)
Social Marketing Quarterly     Hybrid Journal   (Followers: 6)
Strategy Management Logistics     Open Access   (Followers: 2)
Supply Chain Forum : an International Journal     Full-text available via subscription   (Followers: 6)
Sustainable Production and Consumption     Full-text available via subscription   (Followers: 1)
Technology Operation Management     Hybrid Journal  
The Journal of Futures Markets     Hybrid Journal   (Followers: 6)
The Service Industries Journal     Hybrid Journal   (Followers: 4)
Universal Journal of Industrial and Business Management     Open Access   (Followers: 1)
Venture Capital: An International Journal of Entrepreneurial Finance     Hybrid Journal   (Followers: 1)
WPOM - Working Papers on Operations Management     Open Access   (Followers: 1)


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Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2305-6290
Published by MDPI Homepage  [84 journals]
  • Logistics, Vol. 6, Pages 39: A Soft Computing View for the Scientific
           Categorization of Vegetable Supply Chain Issues

    • Authors: Rizwan Abbas, Gehad Abdullah Amran, Irshad Hussain, Shengjun Ma
      First page: 39
      Abstract: Over the most recent couple of years, the Internet of Things and other empowering innovations have been logically utilized for digitizing the vegetable supply chain (VSC). Background: The unpredictable examples and complexity inserted in enormous data dimensions present a test for an orderly human master examination. Hence in an information-driven setting, soft computing (SC) has accomplished critical energy to investigate, mine, and concentrate confidential information data, or tackle complex improvement issues, finding some harmony between good productivity and maintainability of vegetable supply frameworks. Methods: This paper presents a new and diverse scientific classification of VSC issues from the SC methodology. It characterizes VSC issues and sorts them in light of how they be demonstrated according to the SC perspective. Moreover, we examine the SC methodologies commonly utilized in each phase of the VSC and their related classes of issues. Accordingly, there is an issue in distinguishing and characterizing VSC issues according to a more extensive point of view, enveloping the different SC strategies that can apply in various phases (from creation to retailing), and recognizing the issues that emerge in these phases according to the SC viewpoint. Results: We likewise acquaint some rules with the assistance of VSC analysts and specialists to settle on appropriate strategies while resolving specific issues they could experience. Even though a few latest examinations have arranged the SC writing in this field, they are situated towards a solitary group of SC strategies (a gathering of techniques that share standard qualities) and survey their application in VSC phases. Conclusions: We have suggested a novel approach and complete scientific classification of vegetable supply chain concerns about soft computing. We present a view of three delegate supply chains: cruciferous vegetables, dark green leafy vegetables, and tomatoes. We assembled the scientific type in light of different parts to arrange vegetable supply chain issues as per how they can be demonstrated utilizing soft computing methodologies.
      Citation: Logistics
      PubDate: 2022-06-22
      DOI: 10.3390/logistics6030039
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 40: From Traditional Product Lifecycle Management
           Systems to Blockchain-Based Platforms

    • Authors: Mubashir Hayat, Herwig Winkler
      First page: 40
      Abstract: Background: Several product lifecycle management systems (PLMs) have been implemented in the industrial sector for managing the data of the product from the design up to the disposal or recycling stage. However, these PLMs face certain challenges in managing the complex and decentralized product lifecycles. Methods: To this aim, this work investigates the currently implemented PLMs used in industries through the exploration of various software reviews and selection websites. Accordingly, these existing PLMs are quantitatively compared and analyzed. Results: The analysis shows that most of the existing PLMs do not contain all the required features; therefore, industries integrate different software to create a full-fledged PLM system. However, this practice results in reducing the overall system efficiency. In this context, this paper assesses and recommends a blockchain-based innovative solution that overcomes the challenges of existing PLMs, hence increasing the overall system efficiency. Furthermore, this work argues, in a logical way, that the recommended blockchain-based platform provides a secure and connected infrastructure for data handling, processing, and storage at different stages of the product lifecycle. Conclusions: This work can be considered among the first to compare the currently implemented PLMs with a novel blockchain-based method. Thus, the stakeholders can utilize the outputs of this research in their analysis and decision-making processes for implementing the blockchain in their organizations.
      Citation: Logistics
      PubDate: 2022-06-23
      DOI: 10.3390/logistics6030040
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 41: Developing a Comprehensive Shipment Policy
           through Modified EPQ Model Considering Process Imperfections,
           Transportation Cost, and Backorders

    • Authors: Waseem Sajjad, Misbah Ullah, Razaullah Khan, Mubashir Hayat
      First page: 41
      Abstract: Background: Determining the optimum shipment quantity in a traditional production system is a competitive business dimension, and developing a reliable shipment policy is decisive for long-term objectives. Currently, significant research in this domain has mainly focused on the optimum shipment lot sizing in a perfect production system without considering the imperfections in the production processes and logistics. It has been well established that the real production inventory system acts as an imperfection in the overall production management loop. Methods: This research deals with designing a new shipment policy considering the imperfections in the production processes and undertaking some influential factors, such as the transportation cost, the actual production inventory, defective items, and backorders. Results: In the developed mathematical framework, the lot-sizing problems, imperfections in the production processes, retailers, and distributors are considered with equal-sized shipment policy to attain pragmatic and real-time results. Conclusions: The developed framework considers an all-unit-discount transportation cost structure. The numerical computations, as well as sensitivity analysis, are performed to point out the specifications and validation of the proposed model.
      Citation: Logistics
      PubDate: 2022-06-24
      DOI: 10.3390/logistics6030041
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 42: Optimizing Transport Logistics under
           Uncertainty with Simheuristics: Concepts, Review and Trends

    • Authors: Juliana Castaneda, Elnaz Ghorbani, Majsa Ammouriova, Javier Panadero, Angel A. Juan
      First page: 42
      Abstract: Background: Uncertainty conditions have been increasingly considered in optimization problems arising in real-life transportation and logistics activities. Generally, the analysis of complex systems in these non-deterministic environments is approached with simulation techniques. However, simulation is not an optimization tool. Hence, it must be combined with optimization methods when our goal is to: (i) minimize operating costs while guaranteeing a given quality of service; or (ii) maximize system performance using limited resources. When solving NP-hard optimization problems, the use of metaheuristics allows us to deal with large-scale instances in reasonable computation times. By adding a simulation layer to the metaheuristics, the methodology becomes a simheuristic, which allows the optimization element to solve scenarios under uncertainty. Methods: This paper reviews the indexed documents in Elsevier Scopus database of both initial as well as recent applications of simheuristics in the logistics and transportation field. The paper also discusses open research lines in this knowledge area. Results: The simheuristics approaches to solving NP-hard and large-scale combinatorial optimization problems under uncertainty scenarios are discussed, as they frequently appear in real-life applications in logistics and transportation activities. Conclusions: The way in which the different simheuristic components interact puts a special emphasis in the different stages that can contribute to make the approach more efficient from a computational perspective. There are several lines of research that are still open in the field of simheuristics.
      Citation: Logistics
      PubDate: 2022-06-24
      DOI: 10.3390/logistics6030042
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 43: Blockchain for Ecologically Embedded Coffee
           Supply Chains

    • Authors: Hana Trollman, Guillermo Garcia-Garcia, Sandeep Jagtap, Frank Trollman
      First page: 43
      Abstract: Background: This research aims to identify how blockchain technology could support the ecological embeddedness of the coffee supply chain. Ecological embeddedness is a subset of the circular economy (CE) that demands legitimacy through design changes to product, production and/or packaging for benefits to economic actors and the environment. This is in contrast with legitimacy as a public relations exercise. Blockchain is a digital transformation technology that is not fully conceptualized with respect to supply chain implementation and the related strategy formulation, particularly in the context of sustainability. Furthermore, the integration of consumers into the CE remains not well understood or researched, with the main focus of CE being the cycling of resources. Methods: This research employs a qualitative case study methodology of the first coffee business in the USA to use blockchain technology as an exemplar. Gap analysis is then applied to identify how blockchain could be used to advance from the current state to a more sustainable one. Results: Findings indicate that the implementation of blockchain is not ecologically embedded in the example studied. Conclusions: The extension of blockchain technology to consider the by-products of production and valorizable waste throughout the supply chain as assets would support ecologically embedded CE for coffee.
      Citation: Logistics
      PubDate: 2022-06-24
      DOI: 10.3390/logistics6030043
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 44: Empirical Performance Measurement of Cargo
           Handling Equipment in Vietnam Container Terminals

    • Authors: Huy Tung Pham, Luong Hai Nguyen
      First page: 44
      Abstract: Background: Cargo-handling equipment (CHE) plays a vital role in maintaining the efficiency of a highly-worked container terminal. Methods: This study is aimed to analyze the CHEs’ performance, which is conducted based on a contextual application of the overall equipment-effectiveness (OEE) technique and data collected from a field survey in 14 container terminals in Vietnam. Results: The findings reveal that the CHEs are operated incompatibly with their actual capacity due to low performance. Also, the findings clarified the unproductive exploitation of container terminals and low actual terminal throughput since the capacity-designed terminals are currently operating above their actual capacity. Conclusions: The application of the OEE index for groups of CHE equipment is an origin for the impact assessment of the overall performance between the groups of CHEs’ equipment, thereby proposing management tools for supporting the improvement of the CHEs and container terminals’ performance in Vietnam.
      Citation: Logistics
      PubDate: 2022-07-04
      DOI: 10.3390/logistics6030044
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 45: Scheduling External Trucks Appointments in
           Container Terminals to Minimize Cost and Truck Turnaround Times

    • Authors: Ahmed M. Abdelmagid, Mohamed Gheith, Amr Eltawil
      First page: 45
      Abstract: Background: Scheduling the arrival of external trucks in container terminals is a critical operational decision that faces both terminal managers and trucking companies. This issue is crucial for both stakeholders since the random arrival of trucks causes congestion in the terminals and extended delays for the trucks. The objective of scheduling external truck appointments is not only to control the workload inside the terminal and the costs resulting from the excessive waiting times of trucks but also, to reduce the truck turnaround time. Methods: A binary programming model was proposed to minimize the waiting time cost, demurrage cost, and container delivery cost. Moreover, a sensitivity analysis was performed to compare various scenarios in terms of cost and to study to what extent the workload level is affected. The mathematical model was solved using Gurobi© 8.1.0 software. Results: 30 instances found in the literature were solved and evaluated in terms of the objective function value (i.e., cost) and truck turnaround time before and after controlling the workload inside the container terminal using the new proposed constraint. Conclusions: The obtained results showed a better distribution of the terminal workload, as well as a lower truck turnaround time that reduces the total cost.
      Citation: Logistics
      PubDate: 2022-07-07
      DOI: 10.3390/logistics6030045
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 46: Quantifying the Benefits of Digital Supply
           Chain Twins—A Simulation Study in Organic Food Supply Chains

    • Authors: Tom Binsfeld, Benno Gerlach
      First page: 46
      Abstract: Background: Digital supply chain twins (DSCT) are gaining increased attention in academia and practice and their positive impact on logistics and supply chain management (LSCM) performance is often highlighted. Still, LSCM executives are hesitant regarding DSCT implementation. One reason is the difficulty of making a reasonable cost–benefit comparison, because the benefits of using a DSCT are rarely quantified. Moreover, there seems to be no method of quantifying these benefits as of today. Methods: This article builds upon an extensive simulation study of a constructed organic food supply chain (FSC), containing as many as 40 simulation experiments. In this simulation study, three volatility scenarios in the FSC were simulated and their effects on LSCM performance were measured. Subsequently, dynamic simulation experiments were run to emulate DSCT use. The benefits of using a DSCT were then quantified using a newly developed approach. Results: A conclusive method for quantifying the benefits of using a DSCT is presented and validated. Moreover, the performance evaluation of using a DSCT for the multi-echelon inventory management of an organic FSC is given. Conclusions: The study leads towards a method for quantifying the use of DSCTs that is of importance for research and practice alike. For managers, it additionally provides an exemplary application of said method in the context of organic FSCs.
      Citation: Logistics
      PubDate: 2022-07-08
      DOI: 10.3390/logistics6030046
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 47: The Role of Supply Chain Resilience on
           SMEs’ Performance: The Case of an Emerging Economy

    • Authors: Mohammed Awad Alshahrani, Mohammad Asif Salam
      First page: 47
      Abstract: Existing studies have predominantly explored the influence of supply chain resilience on the performance of firms in the context of developed economies. This study highlights the need for SMEs to be prepared to tackle uncertainties in business operations. Background: Small and Medium Enterprises (SMEs) play a critical role in every economy, and limited studies have highlighted the significance of resilience in the firms. Therefore, this study aims to determine the impact of supply chain resilience on SMEs’ performance in Saudi Arabia based on three dimensions of resilience, namely agility, robustness, and flexibility. It aims to investigate how they relate to the dimensions of SMEs’ performance, namely production performance and market/sales performance. This study also investigates the overall impact of supply chain resilience as a construct on SMEs’ performance. Methods: This study employed a quantitative research design to answer the research questions. A self-administered questionnaire was used to collect data. The study was based on 255 samples of managers in SMEs from Saudi Arabia. The hypothesized model has been tested using the SPSS/Amos 26. Results: Based on the findings, it has been found that supply chain agility and flexibility had a significant positive relationship with SMEs’ production and marketing/sales performances. Supply chain robustness demonstrated a significant positive relationship with SMEs’ production performance but not their marketing/sales performances. Overall, there was a significant positive relationship between supply chain resilience and SMEs’ performance. Conclusions: This study contributes to the body of literature on supply chain resilience by expounding knowledge on aspects such as agility, flexibility, and robustness. The study enhances our understanding of the role of supply chain resilience on SMEs’ performance in an emerging economy context.
      Citation: Logistics
      PubDate: 2022-07-11
      DOI: 10.3390/logistics6030047
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 48: Adoption and Influence of Robotic Process
           Automation in Beef Supply Chains

    • Authors: Khushboo-E-Fatima, Rasoul Khandan, Amin Hosseinian-Far, Dilshad Sarwar, Hareer Fatima Ahmed
      First page: 48
      Abstract: This paper aims to critically examine the potential barriers to the implementation and adoption of Robotic Process Automation (RPA) in the beef supply chain. The beef supply chain has been challenging due to its complex processes, activities, and management. The beef industry has relied heavily on the human workforce in the past; however, RPA adoption allows automating tasks that are repetitive and strenuous in nature to enhance beef quality, safety and security. There are considerable potential barriers to RPA adoption as organisations have not focused on trying to eliminate them due to various reasons. Previous studies lack knowledge related to potential barriers to RPA adoption, so this creates a research gap and requires attention. Statistical data and information are extracted using secondary data relevant to RPA adoption in the beef supply chain. A business process model is formed which uses values or variables using existing statistical data and information. Simulation of the process model is carried out using Simul8 software and analyses of different scenarios help in choosing the best approach for RPA adoption. Results have identified the potential barriers in RPA adoption through the simulation process thus ensuring RPA performs with more potential. Analysis of ‘what-if’ scenarios allows organizational and employee-level improvements along with enhancing RPA’s accuracy. The process model is a generic model for use in real-life scenarios and can be modified by organisations according to their own business needs and requirements. The study contributes in theoretical and practical aspects as it allows decision-makers and managers to adopt RPA in a robust manner and adds to scientific knowledge by identification of potential barriers to RPA adoption.
      Citation: Logistics
      PubDate: 2022-07-12
      DOI: 10.3390/logistics6030048
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 49: Spatial Configuration of Logistics Firms
           Relative to Cape Town International Airport, South Africa

    • Authors: Masilonyane Mokhele, Tholang Mokhele
      First page: 49
      Abstract: Background: A multi-faceted analysis of the positioning of logistics facilities relative to airports is a topical aspect of the interconnections between transport infrastructure and the spatial configuration of economic activities. Regardless of the wide range of studies that exist on the topic, little is known about the logistics catchment of airports. Towards extending the literature, the objective of the paper is to analyse the spatial configuration of logistics firms relative to Cape Town International Airport (CTIA) in South Africa. Methods: The inclination of logistics facilities to locate in industrial areas is widely acknowledged in the literature. As such, the data on the main industrial and economic nodes in the City of Cape Town metropolitan area were obtained from the City of Cape Town municipality and used to ascertain the extent of the industrial areas across the metropolitan area. The resultant geographic information system (GIS) shapefile of the industrial and economic nodes was used to obtain the logistics firms’ data from AfriGIS. Following the cleaning of the data from AfriGIS, ArcGIS 10.8 and QGIS 3.16 were used for spatial analysis (buffer, kernel density and network analysis) to establish the spatial configuration of the logistics firms relative to CTIA. Results: The results showed that of the 985 logistics firms in the metropolitan area, 937 were located within 20 km of CTIA. Furthermore, the kernel density results showed that high density values were found in the environs of the Cape Town central business district (CBD), Port of Cape Town and Milnerton. The results of the network analysis indicated that the furthest firm was 50 km and 64 min away on the shortest route to CTIA, while it was 55 km and 49 min away on the fastest route. Conclusions: Relative to the literature, the results show that CTIA has the potential to facilitate the emergence of a logistics hub at the city or metropolitan scale.
      Citation: Logistics
      PubDate: 2022-07-12
      DOI: 10.3390/logistics6030049
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 50: Job Satisfaction and Labor Fluctuation: A
           Case Study in the Logistics Sector in Serbia

    • Authors: Milan Andrejić, Milorad Kilibarda, Vukašin Pajić
      First page: 50
      Abstract: Background: There is a growing need for logistics professionals in different positions and with different competencies. The key question is how to attract and retain a highly skilled workforce. The purpose of this research is to determine what factors and how they affect employee’s satisfaction and loyalty in the logistics sector in the Serbian market; Methods: The impact of company size, primary business activity and employee position on labor loyalty and fluctuation were examined. The research hypotheses were tested on the basis of data obtained from a web survey that included 270 respondents from different industrial sectors in the Serbian market. Linear regression was used for hypothesis testing; Results: The results showed, among other things, that salary and advancement possibility are the main motives for changing jobs. The importance of basic professional knowledge acquired at the faculty for employment and working in various companies was confirmed; Conclusions: There are no papers in the literature that investigate job satisfaction and employee turnover in the logistics market. The results of this research, on the one hand, provide useful and accurate information for decision-making in order to improve the situation in the observed market, while on the other hand, provide an excellent basis for future research.
      Citation: Logistics
      PubDate: 2022-07-18
      DOI: 10.3390/logistics6030050
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 51: Customer Perception of Logistics Service

    • Authors: Ilyas Masudin, Yulyetha Kurnia Putri Hanifah, Shanty Kusuma Dewi, Dian Palupi Restuputri, Dwi Iryaning Handayani
      First page: 51
      Abstract: Background: The success of e-commerce cannot be separated from a good delivery experience. Meanwhile, research that discusses the quality of logistics services that serve e-commerce by comparing the quality of its competitors in Indonesia is still little discussed. The case study in this research is two logistic service providers in Indonesia. Methods: This study uses the integration of the SIPA method and Kano Modification. Both SIPA and Kano can determine priority and effective strategies to improve service quality. Results: The use of SIPA can identify the importance of service attributes and compare the performance of the two logistics services. A dynamic cycle of service attributes encourages using Kano Modification in this study to expand opportunities for determining managerial strategies. Conclusions: The results in this study provide insight into the main strategies that must be carried out on attributes considered important and maintain quality to be superior to competitors.
      Citation: Logistics
      PubDate: 2022-07-21
      DOI: 10.3390/logistics6030051
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 52: The Safety-Hygiene Air Corridor between UK
           and Spain Will Coexist with COVID-19

    • Authors: Lázaro Florido-Benítez
      First page: 52
      Abstract: Background: The main goal of this case study is to analyze the air traffic, air cargo, and the safety-hygiene air corridor between UK and Spain, in airports managed by MAG Group (UK) and AENA Group (Spain). Methods: To review the specific paradigm of research which discusses, investigates, and analyses the air traffic, air cargo, and the safety-hygiene air corridor between UK and Spain at airports managed by MAG (UK) and AENA (Spain). Results: The air traffic that airlines project onto the UK-Spain corridor has decreased due to the pandemic, but the result of this research shows that in the medium term, to implement the new Safety-Hygiene Air Corridor (SHAC) will return to economically nurture airlines, airports and destination thanks to vaccines, the digital COVID-19 certificate that will give more confidence to passengers to travel, and with new COVID-19 safety regulations at airports and airlines. Furthermore, the results of the research show the need to create Safety-Hygiene Air Corridor Elements (SHACE) to improve the air activity of these countries. Conclusions: The study contributes towards providing solutions such as those we propose in this study, the UK-Spain SHAC and SHACE will guarantee the value of corridors between countries, reduce the uncertainty of airlines, organizations, and passengers, to restore the tourism and aviation industries.
      Citation: Logistics
      PubDate: 2022-07-21
      DOI: 10.3390/logistics6030052
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 53: Modeling the Truck Appointment System as a
           Multi-Player Game

    • Authors: Mohammad Torkjazi, Nathan Huynh, Ali Asadabadi
      First page: 53
      Abstract: Background: Random truck arrivals at maritime container terminals are one of the primary reasons for gate congestion. Gate congestion negatively affects the terminal’s and drayage firms’ productivity and the surrounding communities in terms of air pollution and noise. To alleviate gate congestion, more and more terminals in the USA are utilizing a truck appointment system (TAS). Methods: This paper proposes a novel approach to modeling the truck appointment system problem. Unlike previous studies which largely treated this problem as a single-player game, this study explicitly models the interplay between the terminal and drayage firms with regard to appointments. A multi-player bi-level programming model is proposed, where the terminal functions as the leader at the upper-level and the drayage firms function as followers at the lower-level. The objective of the leader (the terminal) is to minimize the gate waiting cost of trucks by spreading out the truck arrivals, and the objective of the followers (drayage firms) is to minimize their own drayage cost. To make the model tractable, the bi-level model is transformed to a single-level problem by replacing the lower-level problem with its equivalent Karush–Kuhn–Tucker (KKT) conditions and the model is solved by finding the Stackelberg equilibrium in one-shot simultaneous-moves among players. For comparison purposes, a single-player version of the TAS model is also developed. Results: Experimental results indicate that the proposed multi-player model yields a lower gate-waiting cost compared to the single-player model, and that it yields higher cost savings for the drayage firms as the number of appointments per truck increases. Moreover, the solution of the multi-player model is not dependent on the objective function coefficients, unlike the single player model. Conclusions: This study demonstrates that a TAS is more effective if it considers how the assigned appointment slot affects a truck’s drayage cost. It is recommended that terminal operators and port authorities initiate conversations with their TAS providers about incorporating this element into their TAS.
      Citation: Logistics
      PubDate: 2022-07-22
      DOI: 10.3390/logistics6030053
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 54: Optimisation Models for Inventory Management
           with Limited Number of Stock Items

    • Authors: Julian Vasilev, Tanka Milkova
      First page: 54
      Abstract: Background: Stocks of raw materials and finished products are found in all units of logistics systems and require significant financial means of management. For this reason, scientifically justified approaches to stock management and cost minimisation must be explored. Despite the existence of many such approaches in literature and practice, each case has its own specificities and specificities to which stock management models should be adapted. In this article, the aim of the authors is to propose an approach to determine optimal supply sizes from different types of stocks (more than one is known in the literature as multi-nomenclature) that minimises only the cost of inventory management. The cost of inventory is not included. Methods: The article used the methods of mathematical optimisation, the method of least squares, and regression analysis. The scope of the models in the article is inventory management, with a limited number of stock keeping units. Time series data for the delivered quantities and time series data for the costs of stock management are used. Both time series use the same time period. Results: The constructed specific nonlinear mathematical models for optimising the total cost of stock management are approbated based on sample data and the results obtained are analysed. Conclusions: The created mathematical models and methods for optimising the total cost of stock management may be used by logistics managers to minimise the total costs of inventory management.
      Citation: Logistics
      PubDate: 2022-08-01
      DOI: 10.3390/logistics6030054
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 55: A Literature Review on the Sustainable EPQ
           Model, Focusing on Carbon Emissions and Product Recycling

    • Authors: Rubayet Karim, Koichi Nakade
      First page: 55
      Abstract: Background: Many businesses want to include sustainability in their manufacturing operations. A conventional economic production quantity (EPQ) model is employed to calculate the ideal number of products to manufacture at one time. The goal of this study was to look at the current research on sustainable economic production quantity and supply chain models and suggest prospective future research directions based on existing knowledge gaps. Methods: In this perspective, we used systematic procedures to conduct a survey that included studies from two scenarios: (1a) a sustainable EPQ model that accounts for carbon emissions from inventory storage and manufacture, (1b) a sustainable EPQ model that includes product recycling, and (2) a reverse logistics model that accounts for emissions and product recycling. Results: According to the inquiry, there are reverse logistics models in the literature that consider carbon emissions and product recycling together, but they are not jointly considered for modeling a sustainable EPQ model considering the situation where the manufacturing system is imperfect, although both are vital for ensuring environmental sustainability. Conclusions: In the future, the EPQ model can be developed with these two aspects in mind to understand the effects of product recycling on carbon emissions while controlling production and inventories for an imperfect manufacturing system.
      Citation: Logistics
      PubDate: 2022-08-01
      DOI: 10.3390/logistics6030055
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 56: Reverse Logistics Strategies and Their Effect
           on the Competitiveness of Fast-Moving Consumer Goods Firms in South Africa

    • Authors: Makaleng, Hove-Sibanda
      First page: 56
      Abstract: Background: The fast-moving consumer goods (FMCG) sector contributes significantly to the gross domestic product (GDP) growth of a country. This has therefore led to the growth in importance of reverse logistics (RL) since the FMCG sector cannot avoid RL. It is therefore important for the sector to implement RL strategies that can lead to firm competitiveness. Through the implementation of RL strategies, this sector will achieve many goals as well as lead to firm competitiveness. This study mainly sought to investigate RL strategies and their effect on firm competitiveness. Methods: A positivist research philosophy was employed. Data were collected through two close-ended questionnaires via SurveyMonkey from 418 FMCG retailers and consumers. This is because customers and employees are the greatest asset for any sector. Results: The descriptive results revealed the following RL strategies as the highly implemented ones among FMCG retailers: integration of forward logistics (FL) and RL, the implementation of new technology, the adherence to environmental policies and regulations, knowledge management, eco-compatibility and strategic alliances. The structural equation modeling (SEM) analysis revealed that RL strategies have a positive and significant influence on firm competitiveness. Conclusion: The results offer insight into the RL strategies that must be carried out to achieve firm competitiveness.
      Citation: Logistics
      PubDate: 2022-08-05
      DOI: 10.3390/logistics6030056
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 57: Weighted Interpretive Structural Modeling for
           Supply Chain Risk Management: An Application to Logistics Service
           Providers in Turkey

    • Authors: Zuhal Cilingir Uk, Cigdem Basfirinci, Amit Mitra
      First page: 57
      Abstract: Background: The aim of this paper is to introduce weighted interpretive structural modeling approach to supply chain risk management efforts by presenting an application to identify micro risks of logistics service providers at the industry level in Turkey. Methods: In this research, eighteen risk factors in the logistics sector have been identified through both literature review and recommendations from a group of academicians and experts in the sector. A survey was conducted to rank these risks. They were further analyzed through a weighted interpretive structural modeling (WISM) approach in order to demonstrate mutual relationships among these risks. Results: Finally, using a WISM approach, an analysis was conducted to identify the driving and dependence power of the risk factors. This study covers a variety of micro-risk factors of logistics service providers and demonstrates the relationships among them and clusters them based on their driving and dependence power. Conclusions: Such a clustering of the risk factors helps us identify those that affect the others and are of paramount importance in risk management and mitigation.
      Citation: Logistics
      PubDate: 2022-08-11
      DOI: 10.3390/logistics6030057
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 58: Industrial Packaging Performance Indicator
           Using a Group Multicriteria Approach: An Automaker Reverse Operations Case

    • Authors: Marcelo Miguel da Cruz, Rodrigo Goyannes Gusmão Caiado, Renan Silva Santos
      First page: 58
      Abstract: Background: Due to the growing integration between the various logistics entities and other internal operations, packaging management in the automotive industry is becoming increasingly important from the strategic point of view of the logistics operations of automakers. Performance evaluation of reverse operations is also necessary for managers to know their efficiency, avoid unnecessary resource use and promote circular thinking, enabling more sustainable supply chains. Methods: This research proposes a group decision-making (GDM) approach to evaluate packaging performance in automakers to assist return activities in developing countries. The reverse flow in an automaker was mapped, and by combining literature and empirical views of a packaging engineering team of a Brazilian company, a multicriteria indicator for performance evaluation of packaging was elaborated. It was prioritized through the analytic hierarchy process (AHP)-GDM method, combining judgments to establish a structured technical consensus. Results: It was possible to integrate multiple views of packaging engineering specialists within the same company to know which packaging deserves greater attention from managers when implementing reverse operations from a circular perspective. Conclusions: To demonstrate applicability, this composite indicator also aims to be a quick application approach, considering the restricted time and availability of the specialists in their daily routines.
      Citation: Logistics
      PubDate: 2022-08-12
      DOI: 10.3390/logistics6030058
      Issue No: Vol. 6, No. 3 (2022)
  • Logistics, Vol. 6, Pages 24: Multiobjective Location Problems with
           Variable Domination Structures and an Application to Select a New Hub

    • Authors: Bettina Zargini
      First page: 24
      Abstract: Background: Nowadays, variable domination structure is instrumental in studying multiobjective decision making problems. We investigate multiobjective location problems with respect to variable domination structure and its applications in supply chain management. Methods: We formulate practical problems in supply chain management as an optimization problem with a variable domination structure. Moreover, we present the mathematical methods to solve such problems. We investigate two kinds of solutions derived from the concept of minimal and nondominated solutions from vector optimization problems with respect to variable domination structure. Furthermore, we explore how these solution concepts are characterized in practical problems. Results: We ex- pose how those solutions are beneficial in practical problems. However, these results hold true for multiobjective decision making problems with a continuous feasible set; we present a practical problem in the case of a finite set of feasible locations. Conclusions: In many multiobjective location problems, each location’s characterizations, preferences, and restrictions are involved in the decision making process. This study investigates the decision making problems, where different preferences of objective functions at each location are assumed. Moreover, we present a numerical experiment for selecting a new hub airport.
      Citation: Logistics
      PubDate: 2022-03-22
      DOI: 10.3390/logistics6020024
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 25: Power in the Context of SCM and Supply Chain
           Digitalization: An Overview from a Literature Review

    • Authors: Janosch Brinker, Hans-Dietrich Haasis
      First page: 25
      Abstract: Background: Within highly complex supply chain networks, driven by the trend of digitalization, supply chain relationship management becomes one of the central enablers in increasing supply chain performance. While the influences of globalization and digitalization on the supply chains are increasing, the power allocation within several markets is centralized to a small number of companies. The objective of this paper is to investigate the research gap concerning the impact of power asymmetries on the supply chain, in addition to the trend of digitalization. Methods: A literature review on power, in the research area of supply chain management and logistics, is used to synthesize the current state of the art in this research field and to provide a comprehensive definition of the concept of power. Conclusions: While this paper provides an overview of the impact of power allocations, according to supply chain digitalization and in the present research of supply chain management, it also develops a definition of Power in Supply Chain Management in general. Linked to this definition, this research elaborates on the research gap between power allocations and the digitalization of the supply chain.
      Citation: Logistics
      PubDate: 2022-03-29
      DOI: 10.3390/logistics6020025
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 26: Moving from Industry 4.0 to Industry 5.0:
           What Are the Implications for Smart Logistics'

    • Authors: Niloofar Jafari, Mohammad Azarian, Hao Yu
      First page: 26
      Abstract: Background: Given the importance of human centricity, resilience, and sustainability, the emerging concept of Industry 5.0 has pushed forward the research frontier of the technology-focused Industry 4.0 to a smart and harmonious socio-economic transition driven by both humans and technologies, where the role of the human in the technological transformation is predominantly focused on. Several studies discuss the impacts of disruptive technologies on smart logistics operations in Industry 4.0. However, since Industry 5.0 is a new concept and still in its infancy, its implications for smart logistics have not been discussed. Methods: To fill this gap, this paper presents a comparative bibliometric analysis to show the connection and differences between Industry 4.0 and Industry 5.0 and their implications for smart logistics. A thorough content analysis is then given to illustrate the features of smart logistics in Industry 5.0 concerning four areas, namely intelligent automation, intelligent devices, intelligent systems, and intelligent materials. Results: The results show that, compared with Industry 4.0, the research of smart logistics in Industry 5.0 puts more focus on the interaction between humans and technology in the digital transition, with the increasing adoption of collaborative technologies, e.g., human-machine systems, collaborative robots, and human-robot collaboration. Conclusions: Finally, a research agenda is proposed for identifying future research directions of smart logistics in Industry 5.0.
      Citation: Logistics
      PubDate: 2022-04-01
      DOI: 10.3390/logistics6020026
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 27: Transportation-Induced Carbon Emissions
           Jeopardize Healthcare Logistics Sustainability: Toward a Healthier Today
           and a Better Tomorrow

    • Authors: Khalid Zaman, Muhammad Khalid Anser, Usama Awan, Wiwik Handayani, Hailan Salamun, Abdul Rashid Abdul Aziz, Mohd Khata Jabor, Kamalularifin Subari
      First page: 27
      Abstract: Background: Logistics operations are considered essential for transporting commodities from one location to another, helping to promote global economic activity. On the other hand, its negative impact eclipses its positive impact, namely the rise in healthcare expenditures due to its ecological footprint. Globally, rising out-of-pocket health expenses result from logistic-induced carbon emissions, posing a danger to the long-term viability of healthcare. Methods: Based on this critical fact, this study examined the impact of logistics operations on healthcare costs by controlling for carbon emissions, fuel imports, and economic development across a large cross-section of 131 nations by using the Robust Least Squares Regression. Results: The findings demonstrate a U-shaped association between logistical operations and healthcare expenditures, i.e., if there is a 1% increase in logistics operations, healthcare expenditures decrease by −2.421% initially, while at later stages, healthcare costs would increase by 0.139%. On the other hand, increased fuel imports and economic growth due to logistics activities are increasing healthcare expenditures with an elasticity estimate of 0.087% and 0.147%, respectively. According to the forecasting predictions, logistics-induced carbon emissions, fuel imports, and economic expansion will increase healthcare expenses. Conclusions: A sustainable logistics operation is critical for strengthening healthcare infrastructure and meeting the global carbon neutrality goal.
      Citation: Logistics
      PubDate: 2022-04-15
      DOI: 10.3390/logistics6020027
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 28: Impact of Additive Manufacturing on the
           Supply Chain of Aerospace Spare Parts Industry—A Review

    • Authors: Binoy Debnath, Md Shihab Shakur, Fahmida Tanjum, M. Azizur Rahman, Ziaul Haq Adnan
      First page: 28
      Abstract: Background: Additive manufacturing (AM) applications in producing spare parts are increasing day by day. AM is bridging the digital and physical world as a 3D computer-aided manufacturing (CAM) method. The usage of AM has made the supply chain of the aviation spare parts industry simpler, more effective, and efficient. Methods: This paper demonstrates the impacts of AM on the supply chain of the aircraft spare parts industry following a systematic literature review. Hence, centralized and decentralized structures of AM supply chains have been evaluated. Additionally, the attention has been oriented towards the supply chain with AM technologies and industry 4.0, which can support maintenance tasks and the production of spare parts in the aerospace industry. Results: This review article summarizes the interconnection of the industry findings on spare parts. It evaluates the potentiality and capability of AM in conceptualizing the overall supply chain. Moreover, MROs can adopt the proposed framework technologies to assist decision-makers in deciding whether the logistics hub with AM facilities is centralized or decentralized. Conclusions: Finally, this review provides an overall view to make critical decisions on the supply chain design of spare parts driven by new and disruptive technologies of industry 4.0. The next-generation supply chain may replace the logistics barriers by reducing waste and improving capability and sustainability by implementing AM technologies.
      Citation: Logistics
      PubDate: 2022-04-27
      DOI: 10.3390/logistics6020028
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 29: Customer Perception on Last-Mile Delivery
           Services Using Kansei Engineering and Conjoint Analysis: A Case Study of
           Indonesian Logistics Providers

    • Authors: Dian Palupi Restuputri, Ayun Fridawati, Ilyas Masudin
      First page: 29
      Abstract: Background: This article identifies the preferences of the customer of logistics services in Indonesia using the Kansei engineering and conjoint analysis methods. The Conjoint Analysis aims to establish utility scores that represent factors in logistics services. Methods: In this study, 100 respondents from several cities in East Java, Indonesia, are selected to fill out the formal questionnaire. At the same time, 30 respondents are chosen to determine the attributes and level attributes. The analysis to determine attributes, level attributes, and formal questionnaires are assisted by SPSS 25. Sixteen stimuli are generated in this study to be used for a formal questionnaire. In this study, Kansei is used to provide a different perspective to describe the customer service, Including six attributes: delivery services, delivery speed, courier attitude, order information, condition of goods, and warehouse locations. Results: The results show that customers’ most preferred attributes are based on the condition of undamaged objects, and the attitude of the courier is vital for users in this study. Conclusions: The most considered instruments by the customer, such as delivery services, delivery speed, courier attitude, order information, condition of goods, and warehouse location.
      Citation: Logistics
      PubDate: 2022-04-30
      DOI: 10.3390/logistics6020029
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 30: Risk Behavior Analysis in Indonesian Logistic
           Train Level Crossing

    • Authors: Dian Palupi Restuputri, Achmad Mahardhika Febriansyah, Ilyas Masudin
      First page: 30
      Abstract: Background: At Indonesian level crossings, traversed by logistics trains, there are still frequent cases of accidents. The overall mishaps in 2020 were 199 cases of accidents at level crossings involving road drivers. Mental load factors affect the behavior of drivers on the road; Methods: this study, field observations and surveys were carried out using the Driver Behavior Question-naire (DBQ) and NASA TLX to measure mental load; Results: The results showed that 62% of drivers had a very high mental load factor. The mental load factors are effort, frustration, and temporal demand. Meanwhile, based on the results of DBQ, the type of behavior that is often carried out is Violation; Conclusions: From the results of field observations, it is also known that there is a significant influence between time and type of vehicle on violations. Thus, it was necessary to improve facilities and systems at level crossings to provide convenience and reduce the volume of transportation going through level crossings to reduce the risk of accidents and violations at level crossings.
      Citation: Logistics
      PubDate: 2022-05-15
      DOI: 10.3390/logistics6020030
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 31: Digitalization for Fast, Fair, and Safe
           Humanitarian Logistics

    • Authors: Muhammad Khan, Marwan Khan, Abbas Ali, Muhammad Imran Khan, Ihsan Ullah, Muhammad Iqbal
      First page: 31
      Abstract: Background: Mismanagement in disaster relief operations (DROs) has created a requirement for fast, fair, and safe humanitarian logistics (HL). The deployment of digital solutions in DROs is supported by humanitarian organizations (HOs) as well as recent research; therefore, the key purpose of this article is to investigate the impact of digitalization for fast, fair, and safe HL in DROs. Methods: Primary empirical data were acquired from 449 disaster relief workers (DRWs) via questionnaires and by employing the snowball sampling methodology and partial least squares structural equation modeling (PLS-SEM) in SmartPLS 3. Results: The result of this study indicates that fast, fair, and safe HL is crucial because it can save people’s lives and reduce suffering, and it achieves long-term sustainable development. The findings of the study could be beneficial to all catastrophe risk-management stakeholders as they look for ways to help victims. In addition, the ultimate beneficiaries of digitalized and effective HL will be all of society, notably disaster victims. Conclusions: By implementing proper technologies in DROs, the afflicted may receive needed resources on time, which can save many lives. The utility of the proposed variables is promoting awareness about HL in a fast, fair, and safe manner, and we discuss implications, limitations, and future research. The research adds to the literature by presenting the first quantitative evidence assessing the independent role of digitalization in generating fast, fair, and safe HL from one of the world’s most disaster-prone countries.
      Citation: Logistics
      PubDate: 2022-05-17
      DOI: 10.3390/logistics6020031
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 32: Analysis of Decision Parameters for Route
           Plans and Their Importance for Sustainability: An Exploratory Study Using
           the TOPSIS Technique

    • Authors: Alice Vasconcelos Nobre, Caio Cézar Rodrigues Oliveira, Denilson Ricardo de Lucena Nunes, André Cristiano Silva Melo, Gil Eduardo Guimarães, Rosley Anholon, Vitor William Batista Martins
      First page: 32
      Abstract: Background: This study aimed to identify the most widespread performance objectives for the vehicle routing problem, the degree of comparative importance attributed to each of these performance objectives in the opinion of professionals in the logistics area working in Brazil and also relate them to aspects of sustainability considering environmental, economic and social issues. Methods: To this end, a literature review was carried out in the area and a survey was developed with professionals through a structured questionnaire. The collected data were treated using the TOPSIS multi-criteria technique. Results: The results indicate that the performance objectives in route plans “level of service”, “total number of vehicles” and “total distance travelled” are the ones that, in the opinion of the professionals participating in the research, have greater importance in the planning and elaboration of plan routes and that such objectives directly impact the sustainable results of a given organization. Conclusions: The results can serve as a basis for researchers in the area who aim to broaden the debates on this topic and for logistics operations managers who work directly with planning and elaboration of route plans and who aim to make their operations more sustainable. Therefore, this research addresses the literature gap by identifying which performance objectives should be considered in the elaboration of route plans and how they relate to sustainability guidelines. It is noteworthy that no other study with a similar objective was identified in the literature.
      Citation: Logistics
      PubDate: 2022-05-19
      DOI: 10.3390/logistics6020032
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 33: Impact of Internet of Things (IoT) on
           Inventory Management: A Literature Survey

    • Authors: Yasaman Mashayekhy, Amir Babaei, Xue-Ming Yuan, Anrong Xue
      First page: 33
      Abstract: Background: The advancement of Industry 4.0 technologies has affected every aspect of supply chains. Recently, enterprises have tried to create more value for their businesses by tapping into these new technologies. Warehouses have been one of the most critical sections in a supply chain affected by Industry 4.0 technologies. Methods: By recognizing the role of inventory management in a supply chain and its importance, this paper aims to highlight the impact of IoT technologies on inventory management in supply chains and conducts a comprehensive study to identify the research gap of applying IoT to inventory management. The trend and potential opportunities of applying IoT to inventory management in the Industry 4.0 era are explored by analyzing the literature. Results: Our findings show that the research on this topic is growing in various industries. A broad range of journals is paying particular attention to this topic and publishing more articles in this research direction. Conclusions: Upgrading a supply chain into an integrated supply chain 4.0 is beneficial. Given the changes in fourth-generation technology compared to previous generations, the approach of conventional inventory replenishment policies seems not responsive enough to new technologies and is not able to cope with IoT systems well.
      Citation: Logistics
      PubDate: 2022-05-26
      DOI: 10.3390/logistics6020033
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 34: Improving Replenishment Flows Using
           Simulation Results: A Case Study

    • Authors: Othmane Benmoussa
      First page: 34
      Abstract: Background: Replenishment process is one of the success factors for a more efficient management of operations and a regained profitability. The application of the principles of lean manufacturing in the field of industrial logistics, where substantial improvements in the replenishment process are necessary, is relevant with the objective of optimising the replenishment flow of raw materials from assembly lines in order to propose and implement robust solutions capable of mitigating or even eliminating all types of waste and maximising the productivity of value-added activities. Methods: To achieve this goal, the paper follows the spirit of the DMAIC (Define, Measure, Analyse, Improve and Control) and 5-Why methods that allow the mapping of internal processes of factory logistics in the particular case of a Wire Harness Automotive Plant. Results: Based on the data collected, as well as on specific analysis methods, simulations are launched to challenge and validate the improvements made to the replenishment process. Conclusions: Several generalisable lessons are learnt regarding replenishment flow management, covering topics such as inventory traceability, in addition to logistics costs and process flow optimisation.
      Citation: Logistics
      PubDate: 2022-05-27
      DOI: 10.3390/logistics6020034
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 35: A Systematic Mapping Study on Machine
           Learning Techniques Applied for Condition Monitoring and Predictive
           Maintenance in the Manufacturing Sector

    • Authors: Thuy Linh Jenny Phan, Ingolf Gehrhardt, David Heik, Fouad Bahrpeyma, Dirk Reichelt
      First page: 35
      Abstract: Background: Today’s production facilities must be efficient in both manufacturing and maintenance. Efficiency enables the company to maintain the required output while reducing production effort or costs. With the increasing interest in process automation and the Internet of things since Industry 4.0 was introduced, such shop floors are growing in complexity. Every component of the production needs to be continuously monitored, which is the basis for predictive maintenance (PdM). To predict when maintenance is needed, the components’ conditions are monitored with the help of a condition monitoring (CM) system. However, this task is difficult for human employees, as the monitoring and analysis is very demanding. To overcome this, machine learning (ML) can be applied to ensure more efficient production. Methods: This paper aims to investigate the application of ML techniques for CM and PdM in the manufacturing sector. For this reason, a systematic mapping study (SMS) is conducted in order to structure and classify the current state of research and identify potential gaps for future investigation. Relevant literature was considered between January 2011 and May 2021. Results: Based on the guidelines for SMSs and previously defined research questions, existing publications are examined and a systematic overview of the current state of the research domain is provided. Conclusions: Techniques such as reinforcement learning and transfer learning are underrepresented, but increasingly attracting more attention. The findings of this study suggest that the most promising results belong to the applications of hybrid ML methods, where a set of methods are combined to build a more powerful model.
      Citation: Logistics
      PubDate: 2022-05-28
      DOI: 10.3390/logistics6020035
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 36: Assessing Adoption Factors for Additive
           Manufacturing: Insights from Case Studies

    • Authors: Robert B. Handfield, James Aitken, Neil Turner, Tillmann Boehme, Cecil Bozarth
      First page: 36
      Abstract: Background: Research on Additive Manufacturing [AM] provides few guidelines for successful adoption of the technology in different market environments. This paper seeks to address this gap by developing a framework that suggests market attributes for which the technology will successfully meet a need. We rely on classical technology adoption theory to evaluate the challenges and opportunities proffered by AM. Methods: We apply a framework of technology adoption and assess these parameters using seven case studies of businesses that have successfully adopted AM technology. Results: We find that successful business adoption is highly associated with the relative advantage of AM to rapidly deliver customized products targeted to niche market opportunities. Conclusions: Our findings provide a decision framework for AM equipment manufacturers to employ when evaluating AM technology across various market environments. All five adoption characteristics were found to be important however, the primary decision criterion is based on the relative advantage of AM over other, traditional, technologies. From a practitioner perspective, our research highlights the importance of AM in attaining a competitive advantage through responsive, customized production which can address the needs of niche markets.
      Citation: Logistics
      PubDate: 2022-06-10
      DOI: 10.3390/logistics6020036
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 37: Minimum Viable Model (MVM) Methodology for
           Integration of Agile Methods into Operational Simulation of Logistics

    • Authors: Zichong Lyu, Dirk Pons, Yilei Zhang, Zuzhen Ji
      First page: 37
      Abstract: Background: Logistics problems involve a large number of complexities, which makes the development of models challenging. While computer simulation models are developed for addressing complexities, it is essential to ensure that the necessary operational behaviours are captured, and that the architecture of the model is suitable to represent them. The early stage of simulation modelling, known as conceptual modelling (CM), is thus dependent on successfully extracting tacit operational knowledge and avoiding misunderstanding between the client (customer of the model) and simulation analyst. Objective: This paper developed a methodology for managing the knowledge-acquisition process needed to create a sufficient simulation model at the early or the CM stage to ensure the correctness of operation representation. Methods: A minimum viable model (MVM) methodology was proposed with five principles relevant to CM: iterative development, embedded communication, soliciting tacit knowledge, interactive face validity, and a sufficient model. The method was validated by a case study of freight operations, and the results were encouraging. Conclusions: The MVM method improved the architecture of the simulation model through eliciting tacit knowledge and clearing up communication misunderstandings. It also helped shape the architecture of the model towards the features most appreciated by the client, and features not needed in the model. Originality: The novel contribution of this work is the presentation of a method for eliciting tacit information from industrial clients, and building a minimally sufficient simulation model at the early modelling stage. The framework is demonstrated for logistics operations, though the principles may benefit simulation practitioners more generally.
      Citation: Logistics
      PubDate: 2022-06-10
      DOI: 10.3390/logistics6020037
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 38: Creating Valuable Relationships with
           Third-Party Logistics (3PL) Providers: A Multiple-Case Study

    • Authors: Eric Owusu Darko, Ilias Vlachos
      First page: 38
      Abstract: Background: Logistics service outsourcing in recent years has influenced the evolution of third-party logistics (3PL) providers across the globe. The study explored the evolving services of 3PLs and relational factors that influence the relationship with their customers. Methods: Qualitative research and multiple case studies from four different industries were used. Semi-structured interviews were adopted. Results: The findings show that aside from logistics and warehousing the customer expects 3PLs to create value through more decision-making responsibilities, such as managing the customer’s relationship with 3PLs, and customised services that will make them competitive. Furthermore, the results showed that to achieve relationship performance, trust must be collaborative from the start, which increases information sharing and leads to an improved relationship performance. Conclusions: Consistent performance increases commitments from both partners. Implications, limitations and future research suggestions are provided.
      Citation: Logistics
      PubDate: 2022-06-13
      DOI: 10.3390/logistics6020038
      Issue No: Vol. 6, No. 2 (2022)
  • Logistics, Vol. 6, Pages 3: Developing Knowledge of Supply Chain
           Resilience in Less-Developed Countries in the Pandemic Age

    • Authors: João M. Lopes, Sofia Gomes, Lassana Mané
      First page: 3
      Abstract: Background: The constraints imposed by the pandemic COVID-19 increased the risks of the disruption of supply chains, bringing new challenges to companies. These effects were felt more intensely in less-developed countries, which are highly dependent on imports of products and raw materials. This study aims to assess the impact of supply chain resilience in a less-developed country (Guinea-Bissau) using complex adaptive system theory. Methods: We used a qualitative methodology through multiple case studies. Semi-structured interviews were conducted with four companies. The semi-structured script contains questions about supply chain disruptions, vulnerabilities and resilience. Results: The main results show that the companies in Guinea-Bissau, due to their dependence on the outside world and the absence of formal, larger and more diversified supply chains, suffered serious consequences with the disruption imposed by the pandemic. It was also concluded that the more resilient the supply chain, the fewer the impacts of crisis events and that the resilience of companies at this level depends on their obtaining competitive advantages over their competitors. Conclusions: The main practical implications of this study are the need to formalize the supply chain, diversify the supply of services and products of companies dependent on the exterior, adopt metrics that allow for the early detection of situations of supply chain disruption, effectively manage stocks and promote proactive crisis resolution strategies. Studies on the impact of resilience on supply chains in crises are scarce, especially on companies located in underdeveloped countries.
      Citation: Logistics
      PubDate: 2022-01-04
      DOI: 10.3390/logistics6010003
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 4: A Predictive Maintenance System for Reverse
           Supply Chain Operations

    • Authors: Sotiris P. Gayialis, Evripidis P. Kechagias, Grigorios D. Konstantakopoulos, Georgios A. Papadopoulos
      First page: 4
      Abstract: Background: Reverse supply chains of machinery and equipment face significant challenges, and overcoming them is critical for effective customer service and sustainable operation. Maintenance and repair services, strongly associated with the reverse movement of equipment, are among the most demanding reverse supply chain operations. Equipment is scattered in various locations, and multiple suppliers are involved in its maintenance, making it challenging to manage the related reverse supply chain operations. Effective maintenance is essential for businesses-owners of the equipment, as reducing costs while improving service quality helps them gain a competitive advantage. Methods: To enhance reverse supply chain operations related to equipment maintenance, this paper presents the operational framework, the methodological approach, and the architecture for developing a system that covers the needs for predictive maintenance in the service supply chain. It is based on Industry 4.0 technologies, such as the Internet of things, machine learning, and cloud computing. Results: As a result of the successful implementation of the system, effective equipment maintenance and service supply chain management is achieved supporting the reverse supply chain. Conclusions: This will eventually lead to fewer good-conditioned spare part replacements, just in time replacements, extended equipment life cycles, and fewer unnecessary disposals.
      Citation: Logistics
      PubDate: 2022-01-07
      DOI: 10.3390/logistics6010004
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 5: A Multi-Methodological Analysis of

    • Authors: Natallya Levino, Madson Monte, Carlos Costa, Walter Lima Filho
      First page: 5
      Abstract: Background: In the late 1990s, the idea of fighting drought gave way to the concept of how to live with drought in the Brazilian semi-arid region. From this perspective, the Brazilian Federal Government’s investment in social technology and education encouraged local agricultural production and subsistence agriculture began to have a surplus for commercialization and income generation. However, there are still difficulties in the development of the productive chain, as perceived in Alagoas, Brazil, with the jabuticaba fruit and its derivatives. In this locus, problems related to the creation of value and distributions of the product were identified. Methods: This study proposed a participant observation in a rural producers’ association and a multimethodological approach based on VFT (Value-Focused Thinking) and SWOT analysis aiming to structure the problem, identify communities’ objectives and develop alternatives to solve these problems so that they can get more out of their production. Results: showed that the product has marketing potential due to its differential, but the producers are limited in the process of distributing the goods. Conclusions: So, this study was able to analyze the problems of this productive system in a structured way, generating suggestions for actions to achieve the strategic objectives of the cooperative.
      Citation: Logistics
      PubDate: 2022-01-10
      DOI: 10.3390/logistics6010005
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 6: Composing Vessel Fleets for Maintenance at
           Offshore Wind Farms by Solving a Dual-Level Stochastic Programming Problem
           Using GRASP

    • Authors: Kamilla Hamre Bolstad, Manu Joshi, Lars Magnus Hvattum, Magnus Stålhane
      First page: 6
      Abstract: Background: Dual-level stochastic programming is a technique that allows modelling uncertainty at two different levels, even when the time granularity differs vastly between the levels. In this paper we study the problem of determining the optimal fleet size and mix of vessels performing maintenance operations at offshore wind farms. In this problem the strategic planning spans decades, while operational planning is performed on a day-to-day basis. Since the operational planning level must somehow be taken into account when making strategic plans, and since uncertainty is present at both levels, dual-level stochastic programming is suitable. Methods: We present a heuristic solution method for the problem based on the greedy randomized adaptive search procedure (GRASP). To evaluate the operational costs of a given fleet, a novel fleet deployment heuristic (FDH) is embedded into the GRASP. Results: Computational experiments show that the FDH produces near optimal solutions to the operational day-to-day fleet deployment problem. Comparing the GRASP to exact methods, it produces near optimal solutions for small instances, while significantly improving the primal solutions for larger instances, where the exact methods do not converge. Conclusions: The proposed heuristic is suitable for solving realistic instances, and produces near optimal solution in less than 2 h.
      Citation: Logistics
      PubDate: 2022-01-10
      DOI: 10.3390/logistics6010006
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 7: Selection of Coal Transportation Company Based
           on Fuzzy SWARA-COPRAS Approach

    • Authors: Ziquan Xiang, Muhammad Hamza Naseem, Jiaqi Yang
      First page: 7
      Abstract: Background: Coal production and marketing enterprises can significantly reduce transportation costs and improve their competitiveness by choosing appropriate road transportation companies. Methods: Based on this, a trapezoidal fuzzy SWARA-COPRAS method is proposed to select coal transportation companies. The trapezoidal fuzzy SWARA method is used to determine the index weight of coal transportation companies. The ranking of coal transportation companies is determined using the trapezoidal fuzzy COPRAS method. Results: Taking a coal production and marketing enterprise in Hubei, China as an example, the application of the trapezoidal fuzzy SWARA-COPRAS method is illustrated, and the coal transportation companies are sorted and analyzed for sensitivity. Conclusions: Compared with the results of other methods, the effectiveness and practicability of the trapezoidal fuzzy SWARA-COPRAS method are verified.
      Citation: Logistics
      PubDate: 2022-01-14
      DOI: 10.3390/logistics6010007
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 8: Using Integrated MMD-TOPSIS to Solve the
           Supplier Selection and Fair Order Allocation Problem: A Tunisian Case

    • Authors: Sourour Aouadni, Jalel Euchi
      First page: 8
      Abstract: Currently, the supplier selection process is considered as an integral part of the supply chain. The appropriate selection of suppliers plays a preponderant role in the performance chain of supply as it determines relevant aspects such as cost management and flexibility of most production processes. Background: It is considered a multi-criteria and multi-objective problem because it includes both qualitative and quantitative factors. Method: To solve the Supplier Selection and Fair Order Allocation Problem (SSFOAP), a hybrid solution methodology based on the best–worst method (BWM) and MMD-TOPSIS techniques in the first phase has been developed to find a robust ranking of suppliers. In the second phase to determine the weight of the objective function, the Linear Programming (LP) approach is used. Results: This proposed model can help decisionmakers find the right orders for each supplier and enable purchasing managers to manage supply chain performance in terms of cost, quality, and service. To test the performance of our solution methodology, we apply our hybrid technique to solve a real case of the Tunisian Electric Society (TSE). Cplex software is used to solve bi-objective programming and to answer strategic questions. Conclusions: The experimental results indicate that the combination of MMD-TOPSIS and bi-objective programming provide effective gain concerning solution quality compared with the given solution of the administrator of TSE.
      Citation: Logistics
      PubDate: 2022-01-17
      DOI: 10.3390/logistics6010008
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 9: The Logic of Collective Action for Rural
           Warehouse Condominiums

    • Authors: Amanda Cristina Gaban Filippi, Patricia Guarnieri, Cleyzer Adrian da Cunha, Alcido Elenor Wander
      First page: 9
      Abstract: Background: Given several bottlenecks in Brazil in distribution logistics, mainly in transport and warehouse activities, some new forms of collective action have appeared. The Condominiums of Rural Warehouses was conceived of to overcome these bottlenecks and provide better income and competitiveness to small producers in agribusiness. This article aims to analyse aspects of collective action with the focus of Rural Condominiums in the context of Brazilian agribusiness. Methods: We conducted exploratory, descriptive and qualitative research under the Theory of Logic of Collective Action lens for this purpose. Besides conducting a literature review, we conducted a semi-structured interview with the managers of the Rural Warehouse Condominiums. We analysed the data through a Categorial Content Analysis. Results: The main results show an approximation of the rural model of the Condominiums of Rural Warehouses with the Theory of Logic of Collective Action, mainly for small producers. Conclusions: We highlight the feasibility of the warehouse structure collectively, as it strengthens and provides greater efficiency to rural business and producers, inserts and integrates the industry into a competitive market environment, provides economic and social benefits, leads to cost reduction, and increased profit. The economic, social and logistical determinants show the product’s commercialisation, logistical gains, and the producers’ association regarding the development and growth of rural collective action. This paper can be helpful for practitioners and researchers interested in this field.
      Citation: Logistics
      PubDate: 2022-01-20
      DOI: 10.3390/logistics6010009
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 10: Port Terminal Performance Evaluation and

    • Authors: Giscard Valonne Mouafo Nebot, Haiyan Wang
      First page: 10
      Abstract: Background: The efficiency and competitiveness of port supply chain entities are two critical concerns for maritime transport that must constantly be enhanced. This paper presents an approach called ECOGRAISIM for evaluating the performance of the seaport supply chain. The objective is to achieve an effective operational plan for multimodal terminals. Methods: The proposed approach incorporates the ECOGRAI (Graph with Interconnected Results and Activities) technique with ESSIMAS (Evaluation by Simulation of Innovative Solutions for the Development of Mass Transport on the Seine Axis by electric rail coupons). An additional stage was incorporated to accomplish the performance control. A particular focus was put on action variables and procedures for container and massified transfer management. The multimodal terminal at Le Havre seaport was adopted as the case study. Results: Several scenarios of container transfer were defined and investigated based upon specific features, including delays, minimizing expenses and CO2 emissions. The results show that the operational planning method results in a higher service rate and significantly reduces delay, cost and CO2 emissions. Conclusions: The proposed approach is bound to be beneficial for maritime transport planners and decision makers.
      Citation: Logistics
      PubDate: 2022-01-20
      DOI: 10.3390/logistics6010010
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 11: Acknowledgment to Reviewers of Logistics in

    • Authors: Logistics Editorial Office Logistics Editorial Office
      First page: 11
      Abstract: Rigorous peer-reviews are the basis of high-quality academic publishing [...]
      Citation: Logistics
      PubDate: 2022-01-28
      DOI: 10.3390/logistics6010011
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 12: Which Strategies and Corresponding
           Competences Are Needed to Improve Supply Chain Resilience: A COVID-19
           Based Review

    • Authors: Jethro Kiers, Jaap Seinhorst, Mirthe Zwanenburg, Klaas Stek
      First page: 12
      Abstract: Background: During the COVID-19 pandemic, it became evident that supply chains were not as resilient as they should be. To cope with future disruptions or epidemic outbreaks, supply chain resilience should be improved based on lessons learnt from the impacts of COVID-19 to improve supply chain resilience and facilitate the corresponding competences and skills to implement strategic changes. Method: Applying the dynamic managerial capabilities theory lens, an integrative review is conducted focused on (1) the multiple impacts of COVID-19 on the supply chain resilience, (2) multiple strategies to enhance supply chain resilience, and (3) competences needed to implement the strategic changes successfully. Result: During COVID-19, supply chains could not handle supply and demand shocks, which led to a disrupted state of supply chains. To reduce the impacts of the subsequent disruptions, companies should implement specific strategic changes and increase complementary skills and competences levels. A proposed framework indicates which skills and competences need to be developed to implement a strategic change. Conclusion: Companies must shift their focus from (cost) efficiency to creating more resilient supply chains. Additionally, purchasing professionals should develop their skills and competences accordingly to cope with future disruptions.
      Citation: Logistics
      PubDate: 2022-02-01
      DOI: 10.3390/logistics6010012
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 13: Exploration of Critical Success Factors of
           Logistics 4.0: A DEMATEL Approach

    • Authors: Shahbaz Khan, Rubee Singh, Abid Haleem, Jacinta Dsilva, Sadia Samar Ali
      First page: 13
      Abstract: Background: Fourth Industrial Revolution (Industry 4.0) has revolutionized the operations, technologies, logistics and supply chain. To align with industry 4.0, the conventional logistics processes need to upgrade into digital logistics (logistics 4.0). This study aims to analyse the critical success factors of logistics 4.0. Methods: To accomplish this objective a comprehensive literature review is conducted for the identification of the critical success factors of logistics 4.0 with the expert’s input. These critical success factors are interrelated, and this interrelationship is explored through the DEMATEL approach. The applied methodology is categorised the critical success factors into cause-and-effect groups. Six factors belong to the cause group and the remaining four belong to the effect group. Results: The ‘top management commitment and support’, ‘aligning the initiatives of logistic 4.0 with organizational strategy’ and ‘technological infrastructure’ are the most influential critical success factors. This analysis also recognized the most influential and influenced factor amongst all identified critical success factors that will help the practitioners to optimal utilization of the resources. Conclusions: The findings of the study support the managers and practitioners in strategizing their effort for logistics 4.0 adoption.
      Citation: Logistics
      PubDate: 2022-02-06
      DOI: 10.3390/logistics6010013
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 14: Industry 4.0 and the Circular Economy:
           Integration Opportunities Generated by Startups

    • Authors: Tiago H. H. Silva, Simone Sehnem
      First page: 14
      Abstract: Background: The purpose of this study is to analyze the adoption and implementation of technologies related to Industry 4.0 and the integration with circular economy (CE) to minimize the effects of resource scarcity in emergency situations. Method: The study was developed in two stages: The first consists of a systematic review of the literature for analytical categorization of the technologies of Industry 4.0 that can be useful for implementation in the circular economy. In the second step, empirical validation was carried out with 45 foodtech startups from the agribusiness value chain, farm to table, reuse, and waste management and disposal segments. Results: The contributions of the study show that: (i) The business models of startups in the food segment are closely aligned with the assumptions of circular economy. (ii) The technologies of industry 4.0 are supporting the implementation of circular economy in foodtech companies. (iii) Digitization, traceability, software as a service, traceability, digital solutions, and shared platforms occupy the leadership in the interface between CE and industry 4.0. (iv) Partnerships are strategic elements in the creation of innovative ecosystems for the success of foodtech startups. Conclusions: We conclude this paper with a diagnosis about companies involved in the foodtech segment in addition to the proposition of a business and sectorial agenda to consolidate the Industry 4.0 technologies in order to promote circular economy.
      Citation: Logistics
      PubDate: 2022-02-07
      DOI: 10.3390/logistics6010014
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 15: Influence of Blockchain Technology in
           Manufacturing Supply Chain and Logistics

    • Authors: Abirami Raja Santhi, Padmakumar Muthuswamy
      First page: 15
      Abstract: Background: Blockchain is a digitally managed, distributed, and decentralized ledger used to record transactions in an immutable format. Its characteristics in providing trust, transparency, and traceability make it attractive for applications where transactions are involved. Originally intended to support financial transactions, the technology has gained attention even in non-financial sectors such as health care, manufacturing, retail, and government services. Methods: For centuries, the various functions of manufacturing industries have worked based on the relationship and trust that they have with their upstream and downstream stakeholders. In addition, as the conventional factories are growing into giant gigafactories, the participation of several intermediaries further complicates the supply chain and logistics operations. Hence, the article aims to provide a comprehensive overview of the role of blockchain technology in addressing supply chain and logistics-related challenges by analyzing, organizing, and reviewing the literature. Results: The study shows that blockchain technology can transform the supply chain and logistics into secure, agile, trusted, and transparent functions. A conceptualized application scenario demonstrates the benefits of blockchain technology in providing provenance and traceability to critical products. Conclusions: In particular, a private or permissioned blockchain is suitable for multi-organizational businesses such as supply chain and logistics. In addition, IoT-blockchain integration, smart contracts, and asset tracking has immense benefits in the future.
      Citation: Logistics
      PubDate: 2022-02-08
      DOI: 10.3390/logistics6010015
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 16: Management Control Systems in Shopping
           Centres: Analysis of the Managing Director

    • Authors: Andrea Aquilino-Navarro, Juan Manuel Ramón-Jerónimo, Raquel Flórez-López
      First page: 16
      Abstract: Background: How do Shopping Centre Managers use the Management Control System (MCS) to adapt to the available resources according to the characteristics of the centre and external factors that may affect such management' We identified the differences in the MCS between three types of shopping centres: urban-conventional centres, peripheral-conventional centres, and peripheral-outlet centres. Methods: This qualitative research, based on a multiple case study, aims to obtain a descriptive and explanatory view of the situation of the MCS in the analysed centres. For the study, an interview with a store manager in a shopping centre and semi-structured interviews with the managers of the selected centres were conducted. Results: The relevant factors that affect management were detected: ownership structure, budget management, centre maintenance, marketing-mix management, and the image of the centre to be projected, based on the public that the manager intends to attract. Conclusions: MCSs within each shopping centre vary little, depending on the external factors described, and the differences in management are not based on the characteristics of the centre but on the vision of the manager. A detailed description of the role of the manager is offered, and the door is opened for further research on the subject.
      Citation: Logistics
      PubDate: 2022-02-13
      DOI: 10.3390/logistics6010016
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 17: Can Family Farmers Thrive in Commodity
           Markets' Quantitative Evidence on the Heterogeneity in Long
           Agribusiness Supply Chains

    • Authors: Thiago de Carvalho Verano, Gabriel da Silva Medina, João Ricardo de Oliveira Júnior
      First page: 17
      Abstract: Background: Family farmers’ participation in marketing channels has prompted debates on the types of market best suited to this type of farmer. Commodity production by rural communities and the role of agribusiness long marketing channels for family-based farmers are the subjects of numerous qualitative studies. However, quantitative studies capable of assessing the relevance of long channels to family-based farmers are scarce. Therefore, this study intends to assess the relevance of long marketing channels for family farmers. Methods: We compiled the data from the survey responses of family farmers from 155 municipalities in a state in the central region of Brazil. Results: (1) There was an economic concentration of some marketing channels, namely, the sale of commodities occurred in 35% of the municipalities and included 4.15% of the sampled family farmers. The income derived through these channels represented 2.13% of the farmers’ total income included in the study. (2) There is a low diversity of market types. On average, we found 2.95 long marketing channels per municipality. (3) Family farmers’ participation is low in most commodity long channels. Between 0.11% and 4.15% of the family farmers in the sampled municipalities participate in these channels. Long channels linked to the cattle production chain showed more relevant capacity for inclusion. Conclusions: Contrary to the expectations of those behind initiatives to promote the marketing and sale of locally-sourced commodities within rural communities, agribusiness long marketing channels provide limited opportunities for family farmers to market their goods.
      Citation: Logistics
      PubDate: 2022-02-22
      DOI: 10.3390/logistics6010017
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 18: Improving Transport Logistics by Aligning
           Long Combination Vehicles via Mobile Hub & Spoke Systems

    • Authors: Peter C. Schuur, Christopher N. Kellersmann
      First page: 18
      Abstract: Background: The purpose of this paper is to develop a generic transport system for same-day delivery that is suitable for matching long-distance bulk distribution with local distribution. Methods: The innovative concepts of this research entail the introduction of mobile hub (MH) networks in combination with long combination vehicles (LCVs). LCVs are trucks with an additional loading capacity of 50% compared to standard trucks. Mobile hubs allow switching trailers at any suitable location at any time. They increase flexibility and yield savings in time and costs. On top of that, they reduce the number of driver hours needed. In our LCV-MH concept, standard trucks are initially—at their home base—combined to LCVs, which drive a considerable distance, but are eventually, at a mobile hub in the vicinity of the customers, broken down again into standard trucks heading for the customers. Results: We illustrate the practical relevance of our ideas by a case study based upon actual and accurate data from practice. Here, we compare the LCV-MH concept with the strategy of using only LCVs. Conclusions: Next to yielding considerable cost savings, the LCV-MH concept makes it easier to generate routes that comply with the EU transport rules.
      Citation: Logistics
      PubDate: 2022-02-22
      DOI: 10.3390/logistics6010018
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 19: A Framework on the Use of Agile Methods in
           Logistics Startups

    • Authors: Malena Zielske, Tobias Held, Athanasios Kourouklis
      First page: 19
      Abstract: Background: The logistics industry has seen the emergence of many startups in recent years. Many of these logistics startups use new technologies to develop disruptive products, services or platforms that are based on software. This paper presents the results of a Delphi study and a survey that were consolidated in a framework. The purpose is to understand the benefits that logistics startups derive from using agile methods, the difficulties they face in using these methods and the evolution of logistics startups in terms of using agile methods. Methods: A Delphi study with 29 experts and a global survey with 95 participants was conducted to look at the implementation of agile methods. The largest group of participants were members of (top) management, agile coaches and team leaders. Results: The framework consolidates gathered data to demonstrate how logistics startups apply agile methods and practices based on the results of the Delphi study and the survey, and how the usage of agile methods changes over the age of logistics startups. The results indicate that younger logistics startups use agile methods predominantly to design product features and maximise customer value, whereas logistics startups older than five years focus more on the optimisation of internal processes. Conclusions: The value of the present study lies in its contribution to the hitherto hardly examined research field of agility in logistics startups and the notable views of the experienced participants.
      Citation: Logistics
      PubDate: 2022-02-23
      DOI: 10.3390/logistics6010019
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 20: Public School Food Supply Chain during the
           COVID-19 Pandemic: A Case Study of the City of Vitória (Brazil)

    • Authors: Taniellen Miranda Coelho, Julianna Zambon Moscon, Irineu de Brito Junior, Angélica Alebrant Mendes, Hugo Tsugunobu Yoshida Yoshizaki
      First page: 20
      Abstract: Background: Due to the COVID-19 pandemic, Brazilian public schools closed in 2020. This lockdown stopped the provision of school meals to public school students, most of whom belonged to low-income families facing food insecurity. To guarantee the students’ food security during this period, food items previously provided through school meals were converted into food kits and delivered to the students’ families. Methods: This case study analyzes the logistical impacts of this change in the school food supply chain concerning the legislation, procurement, assembly, and distribution of food kits in the city of Vitória, Brazil. We interviewed suppliers and workers of the Municipal Secretariat of Education and distributed a survey to professionals and beneficiaries. Results: One of the findings was that federal procurement regulations for the acquisition of food for public schools led to difficult choices for school officials during this period. These regulations determined that at least 30% of the budget must be used in local purchases from smallholder family farmers. However, almost all products generated by family farming in the region of Vitória are perishable and require distribution and consumption on the same day, which represents a challenge for the logistic process of assembling and distributing food kits. The solution was the selection of eggs as the primary protein item in the kits. Conclusions: The lessons learned through this study suggest potential actions that would make this supply chain more resilient in future emergencies.
      Citation: Logistics
      PubDate: 2022-03-04
      DOI: 10.3390/logistics6010020
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 21: Integration of Blockchain Technology and
           Prioritization of Deployment Barriers in the Blood Supply Chain

    • Authors: Ieva Meidute-Kavaliauskiene, Amir Karbassi Yazdi, Amir Mehdiabadi
      First page: 21
      Abstract: Background: This research aims to prioritize the blood supply hub for coping barriers of implementation blockchain (BC) in supply chain management (SCM). Nowadays, blood supply is a crucial matter that plays an essential role in people’s lives. Hence, tracing the supply of blood is very substantial. One of the ways for the SCM of blood supply is a blockchain system. It shows how all traces of the SCM stream can flow from raw material to receiving blood into end users. However, there are many barriers to the implementation of blockchain. None of the companies can design improvement projects to resolve these barriers because of a lack of rare resources, such as human resources (HR), budget, information, etc. Methods: Barriers are first extracted from previous studies and interviews with experts in this study. Then, these barriers are customized for this case study by the Delphi method. Then, these blood supply hubs are ranked by measurement alternatives and ranking according to the compromise solution (MARCOS) method. Since this method needs primary weight, the best–worst method (BWM) is applied to obtain this weight. Result: Results have pointed out that business owners’ unwillingness was the highest priority among the nine barriers. Conclusions: Additionally, implementing blockchain for SCM of blood supply requires paying more attention to business owners’ unwillingness barriers and resolving them. Furthermore, hub 4 is faced with many problems in tackling barriers to implementing SCM blockchain.
      Citation: Logistics
      PubDate: 2022-03-04
      DOI: 10.3390/logistics6010021
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 22: Improvement of the Logistics Flows in the
           Receiving Process of a Warehouse

    • Authors: Afonso Vaz de Oliveira, Carina M. Oliveira Pimentel, Radu Godina, João Carlos de Oliveira Matias, Susana M. Palavra Garrido
      First page: 22
      Abstract: Background: The present work is related to a project developed in a company dealing with the security and communication systems, fire alarms, and electronic displays sector, located in the district of Aveiro. This work aims to improve the logistics flow of material reception in the warehouse of a company by using case study research methodology. Methods: Initially, there were too many queues at reception and high throughput times. The approach used to solve these problems was balancing the workstations, with the help of industrial simulation software (Arena®) and changing the existing layout, making the queues residual in order to reduce the throughput times. Results: Considerable savings were achieved with this approach in terms of operational costs. A reduction of the throughput time by 28% is reached and a reduced number of workstations is achieved, as well as a greater capacity to receive more material without the need for further investment. Conclusions: The changes in the layout allowed improvements at the ergonomic level and greater organization (5 S’s) at the workstations, thus having a positive impact on the employees’ working conditions.
      Citation: Logistics
      PubDate: 2022-03-09
      DOI: 10.3390/logistics6010022
      Issue No: Vol. 6, No. 1 (2022)
  • Logistics, Vol. 6, Pages 23: Brazil’s Agribusiness Economic Miracle:
           Exploring Food Supply Chain Transformations for Promoting Win–Win

    • Authors: José Elenilson Cruz, Gabriel da Silva Medina, João Ricardo de Oliveira Júnior
      First page: 23
      Abstract: Background: For many developing countries, agribusiness has become one of the main economic sectors, with the capacity to mobilize domestic and foreign investments. Despite the potential for development in countries like Brazil, the results of these investments in supply chains have not yet been systematically assessed. Methods: This study analyses foreign and domestic investments as an explanation for the recent growth of Brazilian agribusiness and evaluates the implications of different investment arrangements for the future development of the sector in the country. The research was based on a literature review of 12 agribusiness supply chains in Brazil. Results: Through a content analysis, the results reveal win–win situations with foreign and domestic investments supporting the streamlining of supply chains, mutually benefiting domestic and international groups and increasing the productivity of the entire sector. However, the results also reveal win–lose cases with chains and segments practically controlled by foreign multinationals in which local groups have practically no share. Finally, there are also cases of lose–win in which groups subsidized by the state are privileged in relation to others, compromising the sector’s growth. Conclusions: The current liberal business environment results in the need for a new vision of development based on win–win opportunities for domestic and foreign investments created by dynamic sectors such as agribusiness.
      Citation: Logistics
      PubDate: 2022-03-15
      DOI: 10.3390/logistics6010023
      Issue No: Vol. 6, No. 1 (2022)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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