Subjects -> TRANSPORTATION (Total: 216 journals)
    - AIR TRANSPORT (9 journals)
    - AUTOMOBILES (26 journals)
    - RAILROADS (10 journals)
    - ROADS AND TRAFFIC (9 journals)
    - SHIPS AND SHIPPING (39 journals)
    - TRANSPORTATION (123 journals)

TRANSPORTATION (123 journals)                     

Showing 1 - 53 of 53 Journals sorted alphabetically
Accident Analysis & Prevention     Hybrid Journal   (Followers: 122)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 9)
Applied Mobilities     Hybrid Journal   (Followers: 3)
Archives of Transport     Open Access   (Followers: 18)
Asian Transport Studies     Open Access   (Followers: 1)
Botswana Journal of Technology     Full-text available via subscription   (Followers: 1)
Case Studies on Transport Policy     Hybrid Journal   (Followers: 16)
Cities in the 21st Century     Open Access   (Followers: 16)
Danish Journal of Transportation Research / Dansk Tidsskrift for Transportforskning     Open Access   (Followers: 3)
Decision Making : Applications in Management and Engineering     Open Access   (Followers: 2)
Economics of Transportation     Partially Free   (Followers: 14)
Emission Control Science and Technology     Hybrid Journal   (Followers: 2)
eTransportation     Open Access   (Followers: 2)
EURO Journal of Transportation and Logistics     Hybrid Journal   (Followers: 15)
European Transport Research Review     Open Access   (Followers: 24)
Geosystem Engineering     Hybrid Journal   (Followers: 2)
IATSS Research     Open Access  
IEEE Open Journal of Intelligent Transportation Systems     Open Access   (Followers: 7)
IEEE Vehicular Technology Magazine     Full-text available via subscription   (Followers: 7)
IET Electrical Systems in Transportation     Open Access   (Followers: 11)
IET Intelligent Transport Systems     Open Access   (Followers: 12)
IET Smart Cities     Open Access   (Followers: 1)
IFAC-PapersOnLine     Open Access   (Followers: 1)
International Journal of Applied Logistics     Full-text available via subscription   (Followers: 11)
International Journal of Crashworthiness     Hybrid Journal   (Followers: 12)
International Journal of e-Navigation and Maritime Economy     Open Access   (Followers: 6)
International Journal of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 11)
International Journal of Electronic Transport     Hybrid Journal   (Followers: 9)
International Journal of Heavy Vehicle Systems     Hybrid Journal   (Followers: 7)
International Journal of Intelligent Transportation Systems Research     Hybrid Journal   (Followers: 16)
International Journal of Mobile Communications     Hybrid Journal   (Followers: 9)
International Journal of Ocean Systems Management     Hybrid Journal   (Followers: 3)
International Journal of Physical Distribution & Logistics Management     Hybrid Journal   (Followers: 12)
International Journal of Services Technology and Management     Hybrid Journal   (Followers: 1)
International Journal of Sustainable Transportation     Hybrid Journal   (Followers: 19)
International Journal of Traffic and Transportation Engineering     Open Access   (Followers: 19)
International Journal of Transportation Engineering     Open Access   (Followers: 2)
International Journal of Transportation Science and Technology     Open Access   (Followers: 12)
International Journal of Vehicle Systems Modelling and Testing     Hybrid Journal   (Followers: 3)
Journal of Advanced Transportation     Hybrid Journal   (Followers: 16)
Journal of Big Data Analytics in Transportation     Hybrid Journal   (Followers: 2)
Journal of Intelligent and Connected Vehicles     Open Access   (Followers: 2)
Journal of KONES     Open Access  
Journal of Mechatronics, Electrical Power, and Vehicular Technology     Open Access   (Followers: 6)
Journal of Modern Transportation     Full-text available via subscription   (Followers: 9)
Journal of Navigation     Hybrid Journal   (Followers: 281)
Journal of Sport & Social Issues     Hybrid Journal   (Followers: 12)
Journal of Sustainable Mobility     Full-text available via subscription   (Followers: 3)
Journal of Traffic and Transportation Engineering (English Edition)     Open Access   (Followers: 5)
Journal of Transport & Health     Hybrid Journal   (Followers: 12)
Journal of Transport and Land Use     Open Access   (Followers: 26)
Journal of Transport and Supply Chain Management     Open Access   (Followers: 16)
Journal of Transport Geography     Hybrid Journal   (Followers: 28)
Journal of Transport History     Hybrid Journal   (Followers: 13)
Journal of Transportation Safety & Security     Hybrid Journal   (Followers: 10)
Journal of Transportation Security     Hybrid Journal   (Followers: 2)
Journal of Transportation Systems Engineering and Information Technology     Full-text available via subscription   (Followers: 12)
Journal of Transportation Technologies     Open Access   (Followers: 15)
Journal of Waterway Port Coastal and Ocean Engineering     Full-text available via subscription   (Followers: 8)
Journal on Vehicle Routing Algorithms     Hybrid Journal  
Les Dossiers du Grihl     Open Access   (Followers: 1)
LOGI ? Scientific Journal on Transport and Logistics     Open Access   (Followers: 1)
Logistics     Open Access   (Followers: 3)
Logistics & Sustainable Transport     Open Access   (Followers: 6)
Logistique & Management     Hybrid Journal  
Mobility in History     Full-text available via subscription   (Followers: 5)
Modern Transportation     Open Access   (Followers: 12)
Nonlinear Dynamics     Hybrid Journal   (Followers: 20)
Open Journal of Safety Science and Technology     Open Access   (Followers: 17)
Open Transportation Journal     Open Access   (Followers: 1)
Packaging, Transport, Storage & Security of Radioactive Material     Hybrid Journal   (Followers: 4)
Periodica Polytechnica Transportation Engineering     Open Access  
Pervasive and Mobile Computing     Hybrid Journal   (Followers: 8)
Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit     Hybrid Journal   (Followers: 15)
Promet : Traffic &Transportation     Open Access  
Public Transport     Hybrid Journal   (Followers: 20)
Recherche Transports Sécurité     Hybrid Journal   (Followers: 1)
Research in Transportation Business and Management     Partially Free   (Followers: 8)
Revista Transporte y Territorio     Open Access   (Followers: 1)
Revue Marocaine de Management, Logistique et Transport     Open Access  
Romanian Journal of Transport Infrastructure     Open Access   (Followers: 1)
SourceOCDE Transports     Full-text available via subscription   (Followers: 2)
Sport, Education and Society     Hybrid Journal   (Followers: 13)
Sport, Ethics and Philosophy     Hybrid Journal   (Followers: 3)
Streetnotes     Open Access   (Followers: 1)
Synthesis Lectures on Mobile and Pervasive Computing     Full-text available via subscription   (Followers: 1)
Tire Science and Technology     Full-text available via subscription   (Followers: 3)
Transactions on Transport Sciences     Open Access   (Followers: 7)
Transport     Open Access   (Followers: 17)
Transport and Telecommunication     Open Access   (Followers: 5)
Transport in Porous Media     Hybrid Journal   (Followers: 2)
Transport Problems     Open Access   (Followers: 5)
Transport Reviews: A Transnational Transdisciplinary Journal     Hybrid Journal   (Followers: 10)
Transport technic and technology     Open Access   (Followers: 1)
Transportation     Hybrid Journal   (Followers: 34)
Transportation Engineering     Open Access   (Followers: 1)
Transportation Geotechnics     Full-text available via subscription   (Followers: 1)
Transportation in Developing Economies     Hybrid Journal  
Transportation Infrastructure Geotechnology     Hybrid Journal   (Followers: 8)
Transportation Journal     Full-text available via subscription   (Followers: 17)
Transportation Letters : The International Journal of Transportation Research     Hybrid Journal   (Followers: 6)
Transportation Research Interdisciplinary Perspectives     Open Access   (Followers: 3)
Transportation Research Part A: Policy and Practice     Hybrid Journal   (Followers: 41)
Transportation Research Part B: Methodological     Hybrid Journal   (Followers: 39)
Transportation Research Part C: Emerging Technologies     Hybrid Journal   (Followers: 31)
Transportation Research Procedia     Open Access   (Followers: 7)
Transportation Research Record : Journal of the Transportation Research Board     Full-text available via subscription   (Followers: 37)
Transportation Safety and Environment     Open Access   (Followers: 2)
Transportation Science     Full-text available via subscription   (Followers: 26)
Transportation Systems and Technology     Open Access  
TRANSPORTES     Open Access   (Followers: 6)
Transportmetrica A : Transport Science     Hybrid Journal   (Followers: 9)
Transportmetrica B : Transport Dynamics     Hybrid Journal   (Followers: 1)
Transportrecht     Hybrid Journal   (Followers: 1)
Travel Behaviour and Society     Full-text available via subscription   (Followers: 12)
Travel Medicine and Infectious Disease     Hybrid Journal   (Followers: 4)
Urban Development Issues     Open Access   (Followers: 3)
Urban, Planning and Transport Research     Open Access   (Followers: 33)
Vehicles     Open Access  
Vehicular Communications     Full-text available via subscription   (Followers: 4)
World Electric Vehicle Journal     Open Access  
World Review of Intermodal Transportation Research     Hybrid Journal   (Followers: 6)
Транспортні системи та технології перевезень     Open Access  

           

Similar Journals
Journal Cover
Logistics
Number of Followers: 3  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2305-6290
Published by MDPI Homepage  [233 journals]
  • Logistics, Vol. 5, Pages 19: The Effects of Different Supply Chain
           Integration Strategies on Disruption Recovery: A System Dynamics Study on
           the Cheese Industry

    • Authors: Quan Zhu, Harold Krikke, Marjolein C. J. Caniëls
      First page: 19
      Abstract: Long and complex supply chains are vulnerable to disruptions. One way to solve this problem is to successfully manage supply chain integration (SCI). A system dynamics simulation is thus applied to study a cheese supply chain with three individual firms: a producer, a logistics service provider (LSP), and a retailer. Our purpose is to study the effects of SCI strategies with different dimensional focuses, i.e., information integration (Scenario 1), relational integration (Scenario 2), and operational integration (Scenario 3), on the recovery of three types of disruptions, i.e., a producer capacity disruption, an LSP capacity disruption, and a demand disruption. Tests of parameter scenarios are further applied to provide solutions for supply chains using different strategies. Our results indicate that Scenario 3 is the best practice, regardless of any type of disruption, while Scenario 1 usually achieves the worst performance. This is consistent with an evolutionary perspective of supply chain integration: information integration gives firms a competitive advantage as the first step. Working as partners to share the most appropriate information leads to greater benefits. We extend this perspective by showing that further elimination of information delay helps the supply chain achieve the best performance.
      Citation: Logistics
      PubDate: 2021-04-01
      DOI: 10.3390/logistics5020019
      Issue No: Vol. 5, No. 2 (2021)
       
  • Logistics, Vol. 5, Pages 20: Designing a Sustainable Green Closed-Loop
           Supply Chain under Uncertainty and Various Capacity Levels

    • Authors: Mohsen Tehrani, Surendra M. Gupta
      First page: 20
      Abstract: The ever-increasing concerns of the growth in the volume of waste tires and new strict government legislations to reduce the environmental impact of the end-of-life (EOL) tires have increased interest among companies to design a sustainable and efficient closed-loop supply-chain (CLSC) network. In the real world, the CLSC network design is subject to a variety of uncertainties, such as random and fuzzy (epistemic) uncertainties. Designing a reliable and environmentally cautious CLSC with consideration of risks and the uncertainty of the parameters in the network is necessary for a successful supply-chain network. This study proposes a sustainable and environmentally cautious closed-loop supply-chain network for the tire industry, by considering several recovery options, including retreading, recycling, and energy recovery. This study aims to design and develop a robust multi-objective, multi-product, multi-echelon, multi-cycle, multi-capacity, green closed-loop supply-chain network under hybrid uncertainty. There are two types of uncertainties associated with the parameters in the network. There is an uncertainty associated with the demand, which is expressed in some future scenarios according to the probability of their occurrences, as well as fuzzy-based uncertainty associated with return rates, retreading rates, recycling rates, procurement, and production costs, which are expressed with possibilistic distributions. In order to deal with this hybrid uncertainty, a robust fuzzy stochastic programming approach has been proposed, and the proposed mixed integer programming model is applied to a case study in the tire industry to validate the model. The result indicates the applicability of the proposed model and its efficiency to control the hybrid uncertainties and the risk level in the network.
      Citation: Logistics
      PubDate: 2021-04-07
      DOI: 10.3390/logistics5020020
      Issue No: Vol. 5, No. 2 (2021)
       
  • Logistics, Vol. 5, Pages 21: Developing a Sustainable Logistics Service
           Quality Scale for Logistics Service Providers in Egypt

    • Authors: Ahmed Hussein Ali, Ani Melkonyan, Bernd Noche, Tim Gruchmann
      First page: 21
      Abstract: The role of sustainability has made it a vital point to measure companies’ financial performances and sustainability practices along the overall supply chain. Logistics service providers (LSPs) are among the supply chain actors that need to consider sustainability practices to present a better sustainable service. Therefore, we studied LSPs in Egypt, as Egypt has set sustainability goals in the logistics sector to be achieved by 2030. This research proposes a new sustainable logistics service quality (SLSQ) scale through reviewing the literature on sustainable service quality (SSQ) and logistics service quality (LSQ). While additional semi-structured interviews were conducted with LSP companies in Egypt to formulate the SLSQ scale for this specific region, the Q-sorting technique was used to confirm SLSQ measurements. Hence, we present a scale to evaluate Egypt’s overall LSPs’ service quality. Our research thereby contributes to the theory by proposing a new framework that measures the SLSQ in LSP companies in emerging countries and to the practice by tying the framework to accompany Egyptian law. The results are discussed against previous literature and concluded by showing limitations and potential future research avenues.
      Citation: Logistics
      PubDate: 2021-04-12
      DOI: 10.3390/logistics5020021
      Issue No: Vol. 5, No. 2 (2021)
       
  • Logistics, Vol. 5, Pages 22: Measuring the Environmental Maturity of the
           Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

    • Authors: Hisham Alidrisi
      First page: 22
      Abstract: This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.
      Citation: Logistics
      PubDate: 2021-04-13
      DOI: 10.3390/logistics5020022
      Issue No: Vol. 5, No. 2 (2021)
       
  • Logistics, Vol. 5, Pages 23: The Northwest Passage in the Arctic: A Brief
           Assessment of the Relevant Marine Transportation System and Current
           Availability of Search and Rescue Services

    • Authors: Rebecca Sheehan, Dimitrios Dalaklis, Anastasia Christodoulou, Megan Drewniak, Peter Raneri, Angelos Dalaklis
      First page: 23
      Abstract: The analysis in hand provides a brief assessment of the United States’ and Canada’s marine transportation system and relevant search and rescue (SAR) support in relation to the Northwest Passage, with the purpose of examining to what extent these countries’ relevant infrastructure resources are able to meet the expected growth of shipping operations and business activities in the Arctic. Through an extensive literature review, this assessment will specifically describe the most important influences upon the maritime transportation system, with the issue of certain geographical details and the capabilities of existing ports standing out. Additionally, vessel activity trends and vessel traffic routing measure initiatives will be examined. Furthermore, the SAR infrastructure details and means to render assistance to people in distress along the Northwest Passage will be discussed. The reality remains that port characteristics are limited and vessel traffic routing measure initiatives and upgrades to SAR assets are commendable but slow-paced. It is true that both the United States and Canada are taking proper measures to build up infrastructure needs, but they both may run out of time to put adequate infrastructure in place to deal effectively with the changing environment.
      Citation: Logistics
      PubDate: 2021-04-19
      DOI: 10.3390/logistics5020023
      Issue No: Vol. 5, No. 2 (2021)
       
  • Logistics, Vol. 5, Pages 24: A Systematic Review on Technologies for
           Data-Driven Production Logistics: Their Role from a Holistic and Value
           Creation Perspective

    • Authors: Masoud Zafarzadeh, Magnus Wiktorsson, Jannicke Baalsrud Hauge
      First page: 24
      Abstract: A data-driven approach in production logistics is adopted as a response to challenges such as low visibility and system rigidity. One important step for such a transition is to identify the enabling technologies from a value-creating perspective. The existing corpus of literature has discussed the benefits and applications of smart technologies in overall manufacturing or logistics. However, there is limited discussion specifically on a production logistics level, from a systematic perspective. This paper addresses two issues in this respect by conducting a systematic literature review and analyzing 142 articles. First, it covers the gap in literature concerning mapping the application of these smart technologies to specific production logistic activities. Ten groups of technologies were identified and production logistics activities divided into three major categories. A quantitative share assessment of the technologies in production logistics activities was carried out. Second, the ultimate goal of implementing these technologies is to create business value. This is addressed in this research by presenting the “production logistics data lifecycle” and the importance of having a balanced holistic perspective in technology development. The result of this paper is beneficial to build a ground to transit towards a data-driven state by knowing the applications and use cases described in the literature for the identified technologies.
      Citation: Logistics
      PubDate: 2021-04-23
      DOI: 10.3390/logistics5020024
      Issue No: Vol. 5, No. 2 (2021)
       
  • Logistics, Vol. 5, Pages 25: Towards Digital Twins of Multimodal Supply
           Chains

    • Authors: Anselm Busse, Benno Gerlach, Joel Cedric Lengeling, Peter Poschmann, Johannes Werner, Simon Zarnitz
      First page: 25
      Abstract: Both modern multi- and intermodal supply chains pose a significant challenge to control and maintain while offering numerous optimization potential. Digital Twins have been proposed to improve supply chains. However, as of today, they are only used for certain parts of the entire supply chain. This paper presents an initial framework for a holistic Digital Supply Chain Twin (DSCT) capable of including an entire multimodal supply chain. Such a DSCT promises to enable several improvements all across the supply chain while also be capable of simulating and evaluate several different scenarios for the supply chain. Therefore, the DSCT will not only be able to optimize multi- and intermodal supply chains but also makes them potentially more robust by identifying possible issues early on. This paper discusses the major requirements that such a DSCT must fulfil to be useful and how several information technologies that matured in recent years or are about the mature are the key enablers to fulfil these requirements. Finally, a suggested high-level architecture for such a DSCT is presented as a first step towards the realization of a DSCT, as presented in this work
      Citation: Logistics
      PubDate: 2021-04-26
      DOI: 10.3390/logistics5020025
      Issue No: Vol. 5, No. 2 (2021)
       
  • Logistics, Vol. 5, Pages 26: How Does an Aerotropolis Integrate' A
           Case from Zhengzhou Airport Economy Zone

    • Authors: Baofeng Huo, Mengqiu Guo
      First page: 26
      Abstract: As the modern aviation-oriented business model (aerotropolis), the Airport Economy Zone (AEZ) accumulates capital, technology, workforce, and other production factors. The AEZ always has a large number of infrastructure investments. Still, it has not yet achieved the expected effect in integrating and driving other regional resource endowments in the short term in China. Therefore, governments and AEZ organizations must utilize these investments and create values. This paper demonstrates how the Zhengzhou AEZ (ZAEZ) in China integrates its resources and stakeholders to overcome the remaining issues in its airport stage and gain competitive advantages. We classify three integrations: integrations from contents, including strategic alliance, information sharing, and process coordination; integrations from objectives, including internal integration and external integration; and integrations from objects, including integrating stakeholder, financial resource, and material resource. This paper presents the value creation and competitive advantages of the economy zone from the analysis of different integrations.
      Citation: Logistics
      PubDate: 2021-05-04
      DOI: 10.3390/logistics5020026
      Issue No: Vol. 5, No. 2 (2021)
       
  • Logistics, Vol. 5, Pages 3: A Model for Demand Planning in Supply Chains
           with Congestion Effects

    • Authors: Uday Venkatadri, Shentao Wang, Ashok Srinivasan
      First page: 3
      Abstract: This paper is concerned with demand planning for internal supply chains consisting of workstations, production facilities, warehouses, and transportation links. We address the issue of how to help a supplier firmly accept orders and subsequently plan to fulfill demand. We first formulate a linear aggregate planning model for demand management that incorporates elements of order promising, recipe run constraints, and capacity limitations. Using several scenarios, we discuss the use of the model in demand planning and capacity planning to help a supplier firmly respond to requests for quotations. We extend the model to incorporate congestion effects at assembly and blending nodes using clearing functions; the resulting model is nonlinear. We develop and test two algorithms to solve the nonlinear model: one based on inner approximation and the other on outer approximation.
      Citation: Logistics
      PubDate: 2021-01-06
      DOI: 10.3390/logistics5010003
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 4: Improving Manufacturing Supply Chain by
           Integrating SMED and Production Scheduling

    • Authors: Viren Parwani, Guiping Hu
      First page: 4
      Abstract: Globalization has led to a significant effect on today’s manufacturing sector. Manufacturers need to find new and innovative ways to increase efficiency and reduce waste in the manufacturing supply chain. Lean/six sigma tools can help companies increase production efficiency and stay in competition. Manufacturing in smaller batches can keep the supply chain lean and customizable. This leads to frequent changeovers and downtime. A changeover is usually required when a single machine produces different products based on the requirement. A large-scale industry can either install multiple individual production lines to cater to the demand (usually expensive) or make frequent machinery changes. Single Minute Exchange Die (SMED) is a system designed for reducing the changeover time for machines. It reduces the time taken to complete the activities and eliminates non-essential activities throughout the changeover. Scheduling an operating procedure within SMED in such case is a challenge. Project scheduling model with workforce constraints can be used to create a set of heuristics to provide us with an optimized list of tasks. The paper proposes to design a scheduling heuristic model to allocate tasks to the operators to get the least amount of operator idle time and reduce changeover downtime costs. The paper further illustrates the benefit of the model in a case study and proposes its integration within the existing SMED methodology. This results in a benefit-to-cost ratio of 7.5% for production scheduling compared to that of stages 4 and 5 in SMED, which is 1.2%.
      Citation: Logistics
      PubDate: 2021-01-12
      DOI: 10.3390/logistics5010004
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 5: A New Logistic Model of Market Information
           Asymmetry Reduction in Poland

    • Authors: Elżbieta Gołembska
      First page: 5
      Abstract: The article presents the first theoretical and empirical estimation of the role of logistics in mitigating the effects of market information asymmetry in Poland. Following a review of international (Akerlof, Spencer, Stiglitz) and Polish literature (Gołembska, Gruszecki, Stradomski), a new logistic model of information asymmetry (LMAI) is presented. The article attempts an empirical verification of this model using the results of studies conducted in Polish firms in the period 2000–2018. The studies examined the efficiency and effectiveness of logistics management, with a particular focus on logistics infrastructure expenditure, balance-sheet inventories, and logistics costs. The computation of the LMAI indicator, based on averaged data provided by manufacturers, distributors and service firms, enabled the estimation of the impact of logistics management on reducing the effects of information asymmetry, and showed the differences of this impact in individual industries including the pharmaceutical, tourist, transport and food distribution industry.
      Citation: Logistics
      PubDate: 2021-01-14
      DOI: 10.3390/logistics5010005
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 6: Acknowledgment to Reviewers of Logistics in
           2020

    • Authors: Logistics Editorial Office Logistics Editorial Office
      First page: 6
      Abstract: Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Logistics maintains its standards for the high quality of its published papers [...]
      Citation: Logistics
      PubDate: 2021-01-25
      DOI: 10.3390/logistics5010006
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 7: Pandemic Supply Chain Research: A Structured
           Literature Review and Bibliometric Network Analysis

    • Authors: David Swanson, Luis Santamaria
      First page: 7
      Abstract: In early 2020, COVID-19 infected people throughout the world and brought world commerce to a standstill. Many believe that governments and global businesses were not as prepared as they should have been. While academics have occasionally predicted the economic problems that could result from pandemics, until 2020, there had been scant research that addresses supply chain management issues during pandemics. Eighty-four percent of all pandemic supply chain research was published in the first ten months of 2020. Since the world now finds itself operating supply chains in response to the pandemic, this literature needs to be summarized and articulated for understanding and future research. This literature review addresses that need by summarizing the research which has been generated since 1997, focusing primarily on the bulk of the research that has been published since the COVID-19 pandemic began. Research tools are used to summarize the literature citations, and the articles are coded according to some important variables to further delineate their details. This research also includes a bibliometric co-citation analysis, which clusters the pandemic supply chain literature by author, journal, and article. The findings are that pre-COVID-19 research on pandemic supply chains was primarily about influenza and the healthcare supply chain, whereas post-COVID-19 research provides more analysis of the food supply chain and uses a wider variety of research methods, including simulation, modeling, and empirical methods.
      Citation: Logistics
      PubDate: 2021-01-29
      DOI: 10.3390/logistics5010007
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 8: Cash Flow Bullwhip—Literature Review and
           Research Perspectives

    • Authors: Hicham Lamzaouek, Hicham Drissi, Naima El Haoud
      First page: 8
      Abstract: The bullwhip effect is a pervasive phenomenon in all supply chains causing excessive inventory, delivery delays, deterioration of customer service, and high costs. Some researchers have studied this phenomenon from a financial perspective by shedding light on the phenomenon of cash flow bullwhip (CFB). The objective of this article is to provide the state of the art in relation to research work on CFB. Our ambition is not to make an exhaustive list, but to synthesize the main contributions, to enable us to identify other interesting research perspectives. In this regard, certain lines of research remain insufficiently explored, such as the role that supply chain digitization could play in controlling CFB, the impact of CFB on the profitability of companies, or the impacts of the omnichannel commerce on CFB.
      Citation: Logistics
      PubDate: 2021-01-31
      DOI: 10.3390/logistics5010008
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 9: Prioritized Solutions for Overcoming Barriers
           When Implementing Lean in the Healthcare Supply Chain: A Saudi Perspective
           

    • Authors: Abdulaziz M. Almutairi, Mohammed Almanei, Ahmed Al-Ashaab, Konstantinos Salonitis
      First page: 9
      Abstract: The main purpose of this paper is to propose solutions for overcoming the obstacles that healthcare organizations might face when implementing lean. An in-depth review of existing barriers for lean implementation in healthcare supply chain is presented and validated by experts. Although there is a widespread use of lean concepts in developed countries, little attention has been paid to implementing a lean approach by healthcare providers in developing countries. The present study’s key novelty and contribution is related to this research gap. The study is thus focused in proposing solutions for healthcare organisations in developing countries, especially in Saudi Arabia. The efficacy of these solutions is assessed through experts’ opinion. The paper enhances the body of knowledge for the successful implementation of lean in a hospital setting.
      Citation: Logistics
      PubDate: 2021-02-03
      DOI: 10.3390/logistics5010009
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 10: Rolling Cargo Management Using a Deep
           Reinforcement Learning Approach

    • Authors: Rachid Oucheikh, Tuwe Löfström, Ernst Ahlberg, Lars Carlsson
      First page: 10
      Abstract: Loading and unloading rolling cargo in roll-on/roll-off are important and very recurrent operations in maritime logistics. In this paper, we apply state-of-the-art deep reinforcement learning algorithms to automate these operations in a complex and real environment. The objective is to teach an autonomous tug master to manage rolling cargo and perform loading and unloading operations while avoiding collisions with static and dynamic obstacles along the way. The artificial intelligence agent, representing the tug master, is trained and evaluated in a challenging environment based on the Unity3D learning framework, called the ML-Agents, and using proximal policy optimization. The agent is equipped with sensors for obstacle detection and is provided with real-time feedback from the environment thanks to its own reward function, allowing it to dynamically adapt its policies and navigation strategy. The performance evaluation shows that by choosing appropriate hyperparameters, the agents can successfully learn all required operations including lane-following, obstacle avoidance, and rolling cargo placement. This study also demonstrates the potential of intelligent autonomous systems to improve the performance and service quality of maritime transport.
      Citation: Logistics
      PubDate: 2021-02-08
      DOI: 10.3390/logistics5010010
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 11: A Critical Review of a Holistic Model Used
           for Assessing Multimodal Transport Systems

    • Authors: Anthony K. C. Beresford, Ruth Banomyong, Stephen Pettit
      First page: 11
      Abstract: The purpose of this paper is to present a rigorous and critical review of an established cost/time-distance model. The model offers a perspective on the inter-relationships between transport modes, nodes, methods and cargo volumes, types and forms. Organisations can review their door to door supply chain costs by applying the model described in the paper. The reviewed multimodal transport cost model is based on a relatively simple framework but demonstrates that other existing models of modal choice, multimodal transport and inventory location all oversimplify the transport process. The critical components of the model are the transport from origin to destination, consignment loading/unloading, intermodal transfer and performance variability. Other activities such as storage, value addition and customs clearance can be added into the model as required. Several findings emerge from the development of the model and provide much greater clarity concerning the cost-structure of door-to-door multimodal transport services along economic corridors. The model is shown to be a useful tool for identifying theoretical alternative locations for facilities such as inland terminals. The relative unit costs of operating respective freight transport modes lead to a series of classic door-to-door cost profiles stemming from the modal mix, which varies according to shipment distance, volume, cargo value-density and other variables.
      Citation: Logistics
      PubDate: 2021-02-26
      DOI: 10.3390/logistics5010011
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 12: Effective Demand Forecasting in Health Supply
           Chains: Emerging Trend, Enablers, and Blockers

    • Authors: Lakshmy Subramanian
      First page: 12
      Abstract: Health supply chains aim to improve access to healthcare, and this can be attained only when health commodities appropriate to the health needs of the global population are developed, manufactured, and made available when and where needed. The weak links in the health supply chains are hindering the access of essential healthcare resulting in inefficient use of scarce resources and loss of lives. A chain is only as strong as its weakest link, and demand forecasting is one of the weakest links of health supply chains. Also, many of the existing bottlenecks in supply chains and health systems impede the accurate forecasting of demand, and without the ability to forecast demand with certainty, the stakeholders cannot plan and make commitments for the future. Forecasts are an important feeder for budgeting and logistics planning. Under this backdrop, the study examines how improved forecasting can lead to better short-term and long-term access to health commodities and outlines market-related risks. It explores further how incentives are misaligned creating an uneven distribution of risks, leading to the inability to match demand and supply. For this purpose, a systematic literature review was performed, analyzing 71 articles from a descriptive and content approach. Findings indicate the emerging trends in global health and the consequences of inaccurate demand forecasting for health supply chains. The content analysis identifies key factors that can pose a varying degree of risks for the health supply chain stakeholders. The study highlights how the key factors emerge as enablers and blockers, depending on the impact on the overall health supply chains. The study also provides recommendations for actions for reducing these risks. Consequently, limitations of this work are presented, and opportunities are identified for future lines of research. Finally, the conclusion confirms that by adopting a combination of approaches, stakeholders can ensure better information sharing, identify avenues of diversifying risks, and understand the implications.
      Citation: Logistics
      PubDate: 2021-02-28
      DOI: 10.3390/logistics5010012
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 13: Supplier Selection Risk: A New Computer-Based
           Decision-Making System with Fuzzy Extended AHP

    • Authors: Marcus V. C. Fagundes, Bernd Hellingrath, Francisco G. M. Freires
      First page: 13
      Abstract: Supplier risks have attracted significant attention in the supply chain risk management literature. In this article, we propose a new computational system based on the ‘Fuzzy Extended Analytic Hierarchy Process (FEAHP)’ method for supplier selection while considering the relevant risks. We sought to evaluate the opportunities and limitations of using the FEAHP method in supplier selection and analyzed the support of the system developed through the real case of a Brazilian oil and natural gas company. The computational approach based on FEAHP automates supplier selection by determining a hierarchy of criteria, sub-criteria, and alternatives. First, the criteria and sub-criteria specific to the selection problem were identified by the experts taking the relevant literature as a starting point. Next, the experts performed a pair-wise comparison of the predefined requirements using a linguistic scale. This evaluation was then quantified by calculating the priority weights of criteria, sub-criteria, and alternatives. The best decision alternative is the one with the highest final score. Sensitivity analysis was performed to verify the results of the proposed model. The FEAHP computer approach automated the supplier selection process in a rational, flexible, and agile way, as perceived by the focal company. From this, we hypothesized that using this system can provide helpful insights in choosing the best suppliers in an environment of risk and uncertainty, thereby maximizing supply chain performance.
      Citation: Logistics
      PubDate: 2021-03-03
      DOI: 10.3390/logistics5010013
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 14: Introducing Gamification in the AR-Enhanced
           Order Picking Process: A Proposed Approach

    • Authors: Athina G. Bright, Stavros T. Ponis
      First page: 14
      Abstract: In the last decade, the Industry 4.0 concept has introduced automation and cyber-physical systems as the core elements of future logistics, supported by an array of technologies, such as augmented reality (AR) providing the necessary support for the digital transformation of manufacturing and logistics and the smartification and digital refinement of traditional pre-Industry 4.0 processes. This paper studies the influence and the potential of gamification techniques in supporting innovative Industry 4.0-enhanced processes in the contemporary warehouse work ecosystem. Gamification in the workplace aims to motivate the employees and increase their involvement in an activity, while at the same time creating a sense of an everyday different experience rather than a set of repetitive and monotonous tasks. Since the design of such a system is a complex process, the most widespread design frameworks are studied, and the emphasis is on the principal game elements and their connection to mobilization mechanisms. Finally, an initial proposal of a gamification framework to support the AR-enhanced order picking process in contemporary logistics centers is provided with an emphasis on the mechanics of a fair and functional reward system. The proposed approach aims to showcase the potential alignment of business processes to human motivation, respecting the differences between tasks and the workers’ cognitive workload.
      Citation: Logistics
      PubDate: 2021-03-09
      DOI: 10.3390/logistics5010014
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 15: Closed-Loop Supply Chain Network Design under
           Uncertainties Using Fuzzy Decision Making

    • Authors: Zhengyang Hu, Viren Parwani, Guiping Hu
      First page: 15
      Abstract: The importance of considering forward and backward flows simultaneously in supply chain networks spurs an interest to develop closed-loop supply chain networks (CLSCN). Due to the expanded scope in the supply chain, designing CLSCN often faces significant uncertainties. This paper proposes a fuzzy multi-objective mixed-integer linear programming model to deal with uncertain parameters in CLSCN. The two objective functions are minimization of overall system costs and minimization of negative environmental impact. Negative environmental impacts are measured and quantified through CO2 equivalent emission. Uncertainties include demand, return, scrap rate, manufacturing cost and negative environmental factors. The original formulation with uncertain parameters is firstly converted into a crisp model and then an aggregation function is applied to combine the objective functions. Numerical experiments have been carried out to demonstrate the effectiveness of the proposed model formulation and solution approach. Sensitivity analyses on degree of feasibility, the weighing of objective functions and coefficient of compensation have been conducted. This model can be applied to a variety of real-world situations, such as in the manufacturing production processes.
      Citation: Logistics
      PubDate: 2021-03-10
      DOI: 10.3390/logistics5010015
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 16: Impact of E-Procurement Adoption on Company
           Performance: Evidence from Indonesian Manufacturing Industry

    • Authors: Ilyas Masudin, Ganis Dwi Aprilia, Adhi Nugraha, Dian Palupi Restuputri
      First page: 16
      Abstract: This study was conducted to determine the performance impact of e-procurement adoption in Indonesian manufacturing companies. This study consists of four variables: top management support, information quality, implementation of e-procurement, and company performance. Pilot testing questionnaires were used to test whether the respondents understood the questions given by the researcher. After conducting the pilot test, the final questionnaire was distributed to respondents. The pilot test results and the final questionnaire were analyzed using Statistical Package for Social Science (SPSS) version 21 and SmartPLS v3.0 software to determine the relationship between variables. The results of this study support the acceptance of three hypotheses. The results indicate that top management support has a significant effect on e-procurement implementation. Other results show that information quality has a significant effect on e-procurement implementation, while e-procurement implementation has a significant effect on company performance. From the findings of this article, recommendations from a management perspective are discussed to increase management awareness in adopting electronic procurement.
      Citation: Logistics
      PubDate: 2021-03-15
      DOI: 10.3390/logistics5010016
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 17: Measuring Disruptions in Last-Mile Delivery
           Operations

    • Authors: Andrés Muñoz-Villamizar, Elyn L. Solano-Charris, Lorena Reyes-Rubiano, Javier Faulin
      First page: 17
      Abstract: The rapid growth of urbanisation and e-commerce has increased the number of home deliveries that need to be made in retail operations. Consequently, there is also an increase in unexpected incidents, such as adverse traffic, unavailability of parking space, and vehicle breakdowns. These disruptions result in delays, higher costs, and lower service levels in the last-mile delivery operation. Motivated by free, innovative, and efficient tools, such as the Google application programming interface (API) and Google OR, we built a model to measure the impact of disruptions in the last-mile delivery operation. Our model considers customers’ geographic information, speed estimation between nodes, routing optimisation, and disruption evaluation. Disruptions are considered here as external factors such as accidents and road works that imply the closure of or slow access to certain roads. Computational experiments, based on a set of real data from three different cities around the world, which contrast in size and characteristics (i.e., Boston, US; Bogotá, Colombia; and Pamplona, Spain), were conducted to validate our approach. The tests consider 50 different instances of up to 100 customers per city and analyse the impact of disruptions in terms of travelled time and distance. Our results provide managerial insights for key stakeholders (i.e., carriers, consumers, and government) to define policies and development plans that improve the resilience and capabilities of cities’ transportation systems.
      Citation: Logistics
      PubDate: 2021-03-15
      DOI: 10.3390/logistics5010017
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 18: Development Status and Future Trends for
           Eurasian Container Land Bridge Transport

    • Authors: Olli-Pekka Hilmola, Weidong Li, Yulia Panova
      First page: 18
      Abstract: For decades, trade between Europe and China has grown consistently, which has resulted in increased container transportation volumes. Such transportation has been dominated by sea-based options. However, over the years, an air-based mode of transport was developed, while it has lately become increasingly popular to use railways utilizing the Trans-Siberian land bridge. This latter approach boomed amid the COVID-19 crisis in 2020. However, the railway container boom in Eurasia has deeper roots than just the COVID-19 era. As is illustrated in this research work, international trade containers (trade between Russia and other countries, mostly China) and transit containers (e.g., serving the Chinese–EU route) were already showing some significance as early as 2003–2004. In 2020, their volume was already measured in the millions, regardless of the railway data source being used. This is well above the starting period in the 1980s and 1990s, when total annual volumes were around 0.1 million twenty-foot equivalent units (TEU). Container capacity has developed over the years, first being used for international trade and only lately for transit. As a preliminary comparison to air freight, the growth rate was roughly double that in the two-decade observation period.
      Citation: Logistics
      PubDate: 2021-03-22
      DOI: 10.3390/logistics5010018
      Issue No: Vol. 5, No. 1 (2021)
       
  • Logistics, Vol. 5, Pages 1: Lashing Force Prediction Model with Multimodal
           Deep Learning and AutoML for Stowage Planning Automation in Containerships
           

    • Authors: Chaemin Lee, Mun Keong Lee, Jae Young Shin
      First page: 1
      Abstract: The calculation of lashing forces on containerships is one of the most important aspects in terms of cargo safety, as well as slot utilization, especially for large containerships such as more than 10,000 TEU (Twenty-foot Equivalent Unit). It is a challenge for stowage planners when large containerships are in the last port of region because mostly the ship is full and the stacks on deck are very high. However, the lashing force calculation is highly dependent on the Classification society (Class) where the ship is certified; its formula is not published and it is different per each Class (e.g., Lloyd, DNVGL, ABS, BV, and so on). Therefore, the lashing result calculation can only be verified by the Class certified by the Onboard Stability Program (OSP). To ensure that the lashing result is compiled in the stowage plan submitted, stowage planners in office must rely on the same copy of OSP. This study introduces the model to extract the features and to predict the lashing forces with machine learning without explicit calculation of lashing force. The multimodal deep learning with the ANN, CNN and RNN, and AutoML approach is proposed for the machine learning model. The trained model is able to predict the lashing force result and its result is close to the result from its Class.
      Citation: Logistics
      PubDate: 2020-12-28
      DOI: 10.3390/logistics5010001
      Issue No: Vol. 5, No. 1 (2020)
       
  • Logistics, Vol. 5, Pages 2: Food Logistics 4.0: Opportunities and
           Challenges

    • Authors: Sandeep Jagtap, Farah Bader, Guillermo Garcia-Garcia, Hana Trollman, Tobi Fadiji, Konstantinos Salonitis
      First page: 2
      Abstract: Food Logistics 4.0 is a term derived from Industry 4.0 focusing on all the aspects of food logistics management based on cyber-physical systems. It states that real-time information and the interconnectivity of things, supplemented with novel technologies will revolutionise and improve the way food logistics is carried out. It has tremendous potential in terms of bringing transparency, swift delivery of food at reduced cost, flexibility, and capability to deliver the right quality product at the right place and at the right time. This paper discusses the vital technologies within Food Logistics 4.0 and the opportunities and challenges in this regard. It focuses primarily on food logistics, including resource planning, warehouse management, transportation management, predictive maintenance, and data security. Internet of Things, Blockchain, Robotics and Automation and artificial intelligence are some of the technologies discussed.
      Citation: Logistics
      PubDate: 2020-12-30
      DOI: 10.3390/logistics5010002
      Issue No: Vol. 5, No. 1 (2020)
       
  • Logistics, Vol. 4, Pages 23: Responding to COVID-19 Supply Chain
           Risks—Insights from Supply Chain Change Management, Total Cost of
           Ownership and Supplier Segmentation Theory

    • Authors: Remko van Hoek
      First page: 23
      Abstract: The COVID-19 pandemic is causing risks and disruptions in most supply chains. As supply chain managers are responding to these risks, several theories may inform those efforts. In this paper, we explore across seven companies in different industries, supply chain positions and countries, how lessons from total costs of ownership, supplier segmentation and supply chain change management theory may apply to efforts to respond to COVID-19 supply chain risks and disruptions. The findings indicate that the pandemic forces companies to consider total costs more holistically, beyond the purchase price, and that collaboration with suppliers and developing new sources of supply is of growing importance to reduce risk in the supply chain. However, the change involved in responding to risks will take time, and for many companies, the hardest work is still ahead. Our findings also paint a more nuanced and complex picture than offered in the popular press; the focus on nearshoring does not necessarily mean leaving China and the switch in total costs of ownership may only be partial and temporal. Limitations of the theories considered are identified and resulting suggestions for managers and further research are developed.
      Citation: Logistics
      PubDate: 2020-09-23
      DOI: 10.3390/logistics4040023
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 24: Leveraging Logistics Competence in New
           Product Sourcing: The Role of Strategic Intent and Impact on Performance

    • Authors: Myung Kim, Ram Narasimhan, Tobias Schoenherr
      First page: 24
      Abstract: The purpose of the present research is to examine and compare product and logistics competencies in supplier selection decisions, which can serve as a crucial building block for competitive differentiation, in the context of the unique private label (PL) supply chain. This study also hypothesizes about the impact of product and logistics competence on the retailer’s financial performance. Lastly, the moderating role of the product type in the proposed research model is explored. Partial least squares path modelling is used to analyze the dataset drawn from major South Korean retailers, due to the exploratory nature of the research and the use of both reflective and formative construct measurement items. Overall, the results of this study demonstrate that relationships between the desire for a particular strategic intent and performance are more complex than previous studies have implied. The findings of this research offer possible explanations on an important but understudied aspect of PL success: why not all PLs (even of the same retailer) are thriving even in a rapidly growing PL industry. We further elicit strategic recommendations for retailers in selecting PL suppliers and for PL manufacturers to differentiate themselves and achieve a superior performance.
      Citation: Logistics
      PubDate: 2020-10-07
      DOI: 10.3390/logistics4040024
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 25: How to Assess Reverse Logistics of e-Waste
           Considering a Multicriteria Perspective' A Model Proposition

    • Authors: Patricia Guarnieri, Lucio Camara e Silva, Bárbara Vieira
      First page: 25
      Abstract: As e-waste exponentially increases on a global scale, some legislation and plans to implement reverse logistics have arisen in some countries. While reverse logistics is already well consolidated in developed countries, it is still in a state of infancy in developing countries. In this article, we propose a theoretical model to assess reverse logistics, based on a multicriteria decision aid perspective. This was done while considering a context in which the implementation of the reverse logistics of e-waste is at the beginning. To show the main characteristics of the literature and obtain the model’s inputs, we conducted a systematic literature review to help us understand the main criteria and methods used for this purpose. Then, we illustrated the use of the proposed model with a numerical example. This paper contributes to the current body of research, and aims to assist practitioners within the field of reverse logistics by systematizing the knowledge related to this issue, and offering a model that can guide the decision-making. This model differentiates from others already published because it uses the probabilistic composition of preferences (PCP) method, which does not require the assignment of weights. The model can also be used while considering the preferences of several decision-makers, therefore covering several points of view and providing a more holistic view of the decision problem.
      Citation: Logistics
      PubDate: 2020-10-11
      DOI: 10.3390/logistics4040025
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 26: Factor Cluster Analysis of Qingdao Port
           Logistics Competitiveness

    • Authors: Wei Xu, Xiaohan Gong
      First page: 26
      Abstract: In order to make clear the positioning of the port logistics competitiveness of Qingdao Port among the major coastal ports in China, recognize the development level and shortcomings of its own port, and promote the enhancement of its own port logistics competitiveness, this paper uses the factor analysis method and fuzzy equivalence relationship clustering method to select 17 evaluation indicators from the two dimensions at the port hardware level and software level, respectively. Based on the relevant index data of nine major coastal ports in China including Qingdao Port from 2019, this paper makes a comparative analysis on the competitiveness of Qingdao Port in major coastal port groups in China. The results reflect the differences in the competitiveness of port logistics, and find the weaknesses of Qingdao Port in the strength of the port logistics industry, port transport conditions, etc., so as to improve and enhance the competitiveness of port logistics, such as increasing the proportion of port fixed investment, and speeding up the adjustment of transport structure.
      Citation: Logistics
      PubDate: 2020-10-21
      DOI: 10.3390/logistics4040026
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 27: Blockchain Technology in the Food Industry: A
           Review of Potentials, Challenges and Future Research Directions

    • Authors: Abderahman Rejeb, John G. Keogh, Suhaiza Zailani, Horst Treiblmaier, Karim Rejeb
      First page: 27
      Abstract: Blockchain technology has emerged as a promising technology with far-reaching implications for the food industry. The combination of immutability, enhanced visibility, transparency and data integrity provides numerous benefits that improve trust in extended food supply chains (FSCs). Blockchain can enhance traceability, enable more efficient recall and aids in risk reduction of counterfeits and other forms of illicit trade. Moreover, blockchain can enhance the integrity of credence claims such as sustainably sourced, organic or faith-based claims such as kosher or halal by integrating the authoritative source of the claim (e.g., the certification body or certification owner) into the blockchain to verify the claim integrity and reassure business customers and end consumers. Despite the promises and market hype, a comprehensive overview of the potential benefits and challenges of blockchain in FSCs is still missing. To bridge this knowledge gap, we present the findings from a systematic review and bibliometric analysis of sixty-one (61) journal articles and synthesize existing research. The main benefits of blockchain technology in FCSs are improved food traceability, enhanced collaboration, operational efficiencies and streamlined food trading processes. Potential challenges include technical, organizational and regulatory issues. We discuss the theoretical and practical implications of our research and present several ideas for future research.
      Citation: Logistics
      PubDate: 2020-10-26
      DOI: 10.3390/logistics4040027
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 28: Recursive Effects to Study Feature-Based
           Capabilities in Supply Chain Management

    • Authors: Pietro De Giovanni
      First page: 28
      Abstract: This paper explores the benefits that firms obtain when investing in feature-based capabilities. We investigate the external pressures when deciding their feature-based strategy. In addition, we analyze the consumers’ customization options and the needs for facilitators to mitigate the negative effects of excessive features. We assess the influence of feature-based capabilities on performance and search for an economically feasible loop that feature-based capabilities might entail. This latter is carried out by investigating the recursive effects in structural equation modeling. Our findings reveal that feature-based capabilities entail an economically feasible loop through competitors and supply chain partners but not also through facilitators and operational performance.
      Citation: Logistics
      PubDate: 2020-11-02
      DOI: 10.3390/logistics4040028
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 29: Dry Port: A Review on Concept,
           Classification, Functionalities and Technological Processes

    • Authors: Erica Varese, Danilo Marigo, Mariarosaria Lombardi
      First page: 29
      Abstract: The purpose of this article is to offer a literature review on the development and classification of inland terminals, later defined as “dry ports”. The aim of the paper is to analyze the extant literature on dry ports focusing on their concept, classification, function and technological processes. The review offers an updated structured approach to what is currently defined as a dry port. To this end, a structured keyword search in major electronic databases has been conducted to find related material. As there are many different names indicating dry ports in European, South East Asian and North American countries, the following keywords were used: “dry port”, “inland terminal”, “freight village” and “interporto/i”. The search was conducted in respect of the article title and text, abstract and keywords. The results show that there is no unanimous consensus concerning cataloguing of terrestrial nodal facilities serving port gateways. “Dry ports” have emerged as fundamental elements of the integration between the sea “system” and the land network. The increased interest in the genesis and development of dry ports has been accompanied by an abundant contribution of the scientific community, originating a thriving literature, which, however, does not find a common denominator.
      Citation: Logistics
      PubDate: 2020-11-08
      DOI: 10.3390/logistics4040029
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 30: The Architectural Design Requirements of a
           Blockchain-Based Port Community System

    • Authors: Elnaz Irannezhad
      First page: 30
      Abstract: This paper presents the value proposition of blockchain for Port Community Systems (PCS) by dissecting the business processes in port logistics and unfolding functionalities of blockchain in lowering the transaction cost. This paper contributes to the research by a detailed technical assessment of the plethora of currently available blockchain platforms and consensus mechanisms, against the identified requirements in this specific use case. The results of this technical assessment highlight the central value proposition of blockchain for landlord ports, which is independency from a central authority as the controlling agent. Bridging between two research domains of Information Technology and Logistics, this paper proposes the preferred architectural design requirements of a blockchain-based PCS, including provisioning private sidechains, modular design with inter-chain interoperability, and encrypted off-chain data storage. Availability—the readiness for correct service, and reliability—the continuity of correct service, are heavily reliant on the right choice being made for blockchain design for such a complex use case. A preliminary comparative analysis among different decentralisation levels in this paper suggests that a permissioned public blockchain offers the best trade-off in performance measures for this use case. This technical review identifies six research agenda from a design perspective.
      Citation: Logistics
      PubDate: 2020-11-20
      DOI: 10.3390/logistics4040030
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 31: A Simulation-Based Planning Tool for Floating
           Storage and Regasification Units

    • Authors: Christos Papaleonidas, Emmanouil Androulakis, Dimitrios V. Lyridis
      First page: 31
      Abstract: The objective of this paper was to propose a functional simulation model for the operation of floating storage and regasification units (FSRUs) used for the import of liquefied natural gas (LNG). The physical operation of an FSRU is decomposed for each critical component of the LNG carrier (LNGC) and the FSRU, in order to construct a realistic model in Simulink. LNG mass balance equations are used to perform flow calculations from the tanks of an LNG carrier to the tanks of the FSRU and from there to shore. The simulation model produces results for cases, when multiple LNG carriers discharge cargoes during a monthly time horizon. This produces an accurate operational profile for the FSRU with information about the volume of LNG inside each of the cargo tanks of the FSRU, LNG cargo discharging and gas send-out rate. Potential practitioners may exploit the proposed planning tool to explore the feasibility of alternative operation scenarios for an FSRU terminal. The simulations can check the system sensitivity to different parameters and support schedule regarding: (i) slots for LNG carrier calls, (ii) LNG inventory fluctuation, and (iii) impact of gas demand and send-out rate changes.
      Citation: Logistics
      PubDate: 2020-11-30
      DOI: 10.3390/logistics4040031
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 32: Applying Distributed Ledger Concepts to a
           Swiss Regional Label Ecosystem

    • Authors: Saša Malešević, Michael Lustenberger, Florian Spychiger
      First page: 32
      Abstract: Improving current supply chains by using distributed ledger technology (DLT) has been a highly researched topic during the last years. Currently, there are numerous articles elaborating on how such technologies can theoretically improve supply chains. However, case studies of such concepts and their economic value are scarce. In order to bridge this gap, we collaborated with a regional label company to clarify how a distributed ledger technology would benefit their ecosystem. This work answers the question of how such a prototype would look and whether it adds value. By following design science research practices, we design two artifacts based on requirements gathered in 14 interviews and discuss the artifacts’ elements within an evaluation panel. Our findings show that a distributed ledger application for the regional label ecosystem should have an open and decentralized architecture giving all participants full access to the shared data while still providing security and privacy for sensitive data. Additionally, data capturing should be simple. However, such an application does not add sufficient economic value and is currently of no practical interest in the regional label ecosystem as the expenditure likely exceeds the benefit.
      Citation: Logistics
      PubDate: 2020-12-01
      DOI: 10.3390/logistics4040032
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 33: Roles of Technology in Improving Perishable
           Food Supply Chains

    • Authors: Mona Haji, Laoucine Kerbache, Mahaboob Muhammad, Tareq Al-Ansari
      First page: 33
      Abstract: Food supply chains are considered to be more complex systems than other types of supply chains. This complexity is due to the continuous changes taking place, particularly in ensuring the quality of food products throughout the entire supply chain, from growing, procurement of resources, production, and management of stock, to distribution to the final consumers. For that, food supply chain markets have become more highly developed in the use of modern technologies, and have begun to implement them in their logistical systems to satisfy their customers’ needs. The main objectives of this review are to identify the different technological implementations in different phases of the food supply chain processes and point out the key factors for using technologies to improve the characteristics of the perishable food supply chain. A total number of 137 articles were analyzed in this research to achieve these review objectives. Some of the various technologies found in different phases of the food supply chain were radio frequency identification (RFID), the Internet of Things (IoT), blockchain, three-dimensional printing (3DP), autonomous vehicles, and unmanned aerial vehicles (UAVs). These technologies were found in different phases of the food supply chain and improved the efficiency of supplying perishable foods. The review identified different characteristics of the perishable food supply chain. The main finding indicated that technological implementation enhances the efficiency and sustainability of the food supply chains and helps to retain perishable food characteristics.
      Citation: Logistics
      PubDate: 2020-12-07
      DOI: 10.3390/logistics4040033
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 34: Managing Environmental and Operational Risks
           for Sustainable Cotton Production Logistics: System Dynamics Modelling for
           a Textile Company

    • Authors: M. Ali Ülkü, Melek Akgün, Uday Venkatadri, Claver Diallo, Simranjeet S. Chadha
      First page: 34
      Abstract: Effective management of cotton production logistics (CPL) against volatile environmental conditions while maintaining product quality and yield at acceptable costs has become challenging due to increasing global population and consumption and climate change. In CPL, the harvesting, processing, and storage of cotton are all linked, prone to various environmental risks (e.g., flooding) and operational risks (e.g., excess spraying of pesticides). Thus, it is crucial for a resilient and sustainable supply chain management to prioritize risks and chart suitable risk response strategies. For a CPL, we employ a system dynamics (SD) approach to investigate the likelihoods of environmental and operational risks and their impacts in four dimensions: variable costs, fixed costs, quality performance, and yield. Using the case of a textile company in Turkey, we demonstrate an end-to-end framework for mitigating CPL risks. SD simulation results show that increases in seed prices and machine and equipment breakdowns are the risks that most affect the unit cost, whereas pests and plant diseases most hurt cotton harvest yield. Via scenario analyses, we demonstrate that a proper risk response strategy, compared to doing nothing, may reduce variance in cotton quality by about 35% at the expense of about an 11% increase in unit cost variability.
      Citation: Logistics
      PubDate: 2020-12-14
      DOI: 10.3390/logistics4040034
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 35: Machine Learning Methods for Quality
           Prediction in Production

    • Authors: Sidharth Sankhye, Guiping Hu
      First page: 35
      Abstract: The rising popularity of smart factories and Industry 4.0 has made it possible to collect large amounts of data from production stages. Thus, supervised machine learning methods such as classification can viably predict product compliance quality using manufacturing data collected during production. Elimination of uncertainty via accurate prediction provides significant benefits at any stage in a supply chain. Thus, early knowledge of product batch quality can save costs associated with recalls, packaging, and transportation. While there has been thorough research on predicting the quality of specific manufacturing processes, the adoption of classification methods to predict the overall compliance of production batches has not been extensively investigated. This paper aims to design machine learning based classification methods for quality compliance and validate the models via case study of a multi-model appliance production line. The proposed classification model could achieve an accuracy of 0.99 and Cohen’s Kappa of 0.91 for the compliance quality of unit batches. Thus, the proposed method would enable implementation of a predictive model for compliance quality. The case study also highlights the importance of feature construction and dataset knowledge in training classification models.
      Citation: Logistics
      PubDate: 2020-12-21
      DOI: 10.3390/logistics4040035
      Issue No: Vol. 4, No. 4 (2020)
       
  • Logistics, Vol. 4, Pages 14: Transparency as a Driver for Logistical
           Efficiency in WEEE Collection and Transport

    • Authors: Eirill Bø, John Baxter
      First page: 14
      Abstract: Inefficiency in complex reverse-logistical operations, such as the collection and transport of various wastes, can often be traced to two related factors. Adversarial and arms-length relationships between service providers and customers are commonplace, alongside surprisingly limited understanding of the cost base. This study investigated transparency and shared understanding as drivers for higher efficiency and lower costs. Observation and intervention in contractual negotiations was combined with analyses of cost and sensitivity, and a post-contractual transparency exercise with bidders where findings were shared with all parties. The work yielded both immediate efficiency gains and a longer-term infrastructure for cost evaluation and negotiation. Ongoing work is extending the approach into yet more complex and broader areas of municipal waste management.
      Citation: Logistics
      PubDate: 2020-07-02
      DOI: 10.3390/logistics4030014
      Issue No: Vol. 4, No. 3 (2020)
       
  • Logistics, Vol. 4, Pages 15: A New Model of the Personnel Function
           Delivery in the Logistics of Polish Firms

    • Authors: Elżbieta Gołembska, Marcin Gołembski
      First page: 15
      Abstract: In the article, a new phenomenon of global logistification provides a context for presenting the newest trends in the development of HR management and its role in logistics. The new trends include a growing internationalization of firms, combined flows of capital, people and technical knowledge, and the issue of key logistics competences. Against this background, the article describes a new model of the HR management function in logistics. The aim is to find the relationship between designing and delivering the personnel function in a firm and the effectiveness of logistics management. The key aspects of the personnel function management include talent and competencies management, personnel risk management, and employer branding. These HR practices are explored to determine attributes of the personnel function, and to describe challenges of the proactive human resource management in logistics. The article continues with a presentation of the results of empirical studies conducted in the period 2017–2018 of 236 large, medium-sized, and small Polish firms. As the primary methods, the research used a diagnostic survey, a questionnaire, and the statistical method of factor analysis. The second part of the article presents an original model of the personnel function in logistics management, with regard to the specificity of Polish firms. The findings based on the study results refer to both the present and future status of HR management in logistics. The main findings of the studies acknowledge the influence of all-embracing logistification on the volumes and structure of knowledge transfer in supply chains, and reveal a growing decentralization of HR management in large and medium-sized companies, resulting in an imbalance between the levels of personnel function implementation in large and medium-sized companies, compared with small firms.
      Citation: Logistics
      PubDate: 2020-07-07
      DOI: 10.3390/logistics4030015
      Issue No: Vol. 4, No. 3 (2020)
       
  • Logistics, Vol. 4, Pages 16: Inventory Tracking for Unstructured
           Environments via Probabilistic Reasoning

    • Authors: Mabaran Rajaraman, Kyle Bannerman, Kenji Shimada
      First page: 16
      Abstract: Workpiece location is critical to efficiently plan actions downstream in manufacturing processes. In labor-intensive heavy industries, like construction and shipbuilding, multiple stakeholders interact, stack and move workpieces in the absence of any system to log such actions. While track-by-detection approaches rely on sensing technologies such as Radio Frequency Identification (RFID) and Global Positioning System (GPS), cluttered environments and stacks of workpieces pose several limitations to their adaptation. These challenges limit the usage of such technology to presenting the last known position of a workpiece with no further guidance on a search strategy. In this work we show that a multi-hypothesis tracking approach that models human reasoning can provide a search strategy based on available observations of a workpiece. We show that inventory tracking problems under uncertainty can be approached like probabilistic inference approaches in localization to detect, estimate and update the belief of the workpiece locations. We present a practical Internet-of-Things (IoT) framework for information collection over which we build our reasoning. We also present the ability of our system to accommodate additional constraints to prune search locations. Finally, in our experiments we show that our approach can provide a significant reduction against the conventional search for missing workpieces, of up to 80% in workpieces to visit and 60% in distance traveled. In our experiments we highlight the critical nature of identifying stacking events and inferring locations using reasoning to aid searches even when direct observation of a workpiece is not available.
      Citation: Logistics
      PubDate: 2020-07-14
      DOI: 10.3390/logistics4030016
      Issue No: Vol. 4, No. 3 (2020)
       
  • Logistics, Vol. 4, Pages 17: Scope of Using Autonomous Trucks and Lorries
           for Parcel Deliveries in Urban Settings

    • Authors: Evelyne Tina Kassai, Muhammad Azmat, Sebastian Kummer
      First page: 17
      Abstract: Courier, express, and parcel (CEP) services represent one of the most challenging and dynamic sectors of the logistics industry. Companies of this sector must solve several challenges to keep up with the rapid changes in the market. In this context, the introduction of autonomous delivery using self-driving trucks might be an appropriate solution to overcome the problems that the industry is facing today. This paper investigates if the introduction of autonomous trucks would be feasible for deliveries in urban areas from the experts’ point of view. Furthermore, the potential advantages of such autonomous vehicles were highlighted and compared to traditional delivery methods. At the same time, barriers that could slow down or hinder such an implementation were also discovered by conducting semi-structured interviews with experts from the field. The results show that CEP companies are interested in innovative logistics solutions such as autonomous vans, especially when it comes to business-to-consumer (B2C) activities. Most of the experts acknowledge the benefits that self-driving vans could bring once on the market. Despite that, there are still some difficulties that need to be solved before actual implementation. If this type of vehicle will become the sector’s disruptor is yet to be seen.
      Citation: Logistics
      PubDate: 2020-08-07
      DOI: 10.3390/logistics4030017
      Issue No: Vol. 4, No. 3 (2020)
       
  • Logistics, Vol. 4, Pages 18: Optimizing Long-Lasting Insecticidal Nets
           Campaign in Ivory Coast

    • Authors: Irineu de Brito, Silvia Uneddu, Emma Maspero, Paulo Gonçalves
      First page: 18
      Abstract: This research supports the United Nations Children’s Fund’s (UNICEF) conceptualization, planning and implementation of a campaign for distribution of more than 12 million mosquito nets in Ivory Coast. Procured from four different suppliers in Asia, the nets were transported to the two ports in Ivory Coast before being pre-positioned at 71 Health Districts across the country, a mixed integer network flow model identifies optimal transport options. The process of modeling and the model developed in this paper brought a significant understanding of the problem and, consequently, a reduction in the overall procurement and logistics costs. The implications of using mathematical modeling by practitioners as a tool which contributes to solve humanitarian logistics problems are significant. Mathematical models, like linear programming, can greatly support overall decision-making within humanitarian organizations by helping to ensure that limited resources are used in the most cost-effective and efficient manner. However, it is important to ensure consultations with and involvement by on the ground practitioners to ensure developed solutions assessed to fit the operating context before being implemented.
      Citation: Logistics
      PubDate: 2020-08-17
      DOI: 10.3390/logistics4030018
      Issue No: Vol. 4, No. 3 (2020)
       
  • Logistics, Vol. 4, Pages 19: A Dynamic Multi-Period, Mixed-Integer Linear
           Programming Model for Cost Minimization of a Three-Echelon, Multi-Site and
           Multi-Product Construction Supply Chain

    • Authors: Aspasia Koutsokosta, Stefanos Katsavounis
      First page: 19
      Abstract: Quantifying the benefits of construction supply chain management through prescriptive models is a challenging and fast-growing research area that still lacks standardized optimization models with full integrative potential. In response to the needs and the peculiarities of the construction industry, this paper proposes an innovative model that merges temporal and project-based supply chains into a sustainable network with repetitive flows, large scope contracts, strategic alliances and economies of scale. It is a dynamic mixed-integer linear programming model for cost minimization of a three-echelon supply chain serving multiple sites with multiple products over a time horizon. Its novelty lies in yielding optimal decisions on network design, product quantities to be purchased and transported, shipments and inventory levels in all echelons under any logistics system in a multi-period, multi-product and multi-project environment with discount schemes and strategic preferences. The model is general enough to be implemented by any general contractor acting as a system integrator but also allows customization with logical constraints. All these features constitute an innovative, versatile and flexible managerial decision making tool. Model implementation is based on a spreadsheet optimization software and is followed by post-solution analysis, sensitivity analysis and multiple parameterized optimizations.
      Citation: Logistics
      PubDate: 2020-08-27
      DOI: 10.3390/logistics4030019
      Issue No: Vol. 4, No. 3 (2020)
       
  • Logistics, Vol. 4, Pages 20: Using the SWOT Methodology to Know the Scope
           of the Digitalization of the Spanish Ports

    • Authors: Nicoleta González-Cancelas, Beatriz Molina Serrano, Francisco Soler-Flores, Alberto Camarero-Orive
      First page: 20
      Abstract: In the specific case of maritime transport, one of the most notable examples of digitalization is smart ports. Their positive impact on the supply chain is enabling processes to be optimized through smarter production. In the case of Spain, the Spanish public entity Puertos del Estado (Puertos del Estado is a public business entity dependent on the Spanish Ministry of Transport, Mobility and the Urban Agenda, with overall responsibility for the entire state-owned port system.) has launched Ports 4.0, the largest open innovation fund for the logistics-port ecosystem. It is therefore necessary to know the point of digitalization in which the Spanish ports are and the present scenario in which they develop their activity. For this purpose, a SWOT analysis (Strengths-Weaknesses-Opportunities-Threats analysis) is proposed, which is an ideal tool to make a reliable diagnosis of the port system in relation to a certain project before which we wish to make a strategic decision, in this case digitalization, in order to establish a concrete action plan in this regard. This should be the first step towards developing the Ports 4.0 project. The main conclusion of the analysis is that Spanish ports are currently at a medium high level of digitalization, and that they continue to update and innovate in order to be increasingly competitive in this market, despite the fact that there is still a long way to go in digitalization. The main challenge for Spanish ports is that technology alone is not useful enough to reach Ports 4.0 status; the technology also needs to be used in an integrated, open and joint way by all the agents of the port community, which is one of the main handicaps at present.
      Citation: Logistics
      PubDate: 2020-09-03
      DOI: 10.3390/logistics4030020
      Issue No: Vol. 4, No. 3 (2020)
       
  • Logistics, Vol. 4, Pages 21: Exploring the Multi-Function Nature of
           Packaging in the Food Industry

    • Authors: Ageliki Konstantoglou, Dimitris Folinas, Thomas Fotiadis
      First page: 21
      Abstract: The main objective of this paper is the identification and evaluation of packaging elements by the involved managers in the food industry. Primary research data was collected using a questionnaire that was completed by marketing and logistics managers, as well as food technologists and executives assigned to environmental initiatives/practices, in the Greek food industry. The findings reveal that different managers have different perceptions regarding packaging shapes, colors, identification coding schemes and the provision of consumption ways. There are some common packaging elements that most managers agree on, which are: providing nutritional information, including marks that show compliance to environmental practices, being easy to transport and handle, and withstanding corrosion and wear. Moreover, the research confirms that: (a) Health and nutrition are two interrelated concepts that receive constant attention from the food industry, as well as from governments and consumers, and (b) The quality of a food product is inextricably linked to the quality of its packaging.
      Citation: Logistics
      PubDate: 2020-09-15
      DOI: 10.3390/logistics4030021
      Issue No: Vol. 4, No. 3 (2020)
       
  • Logistics, Vol. 4, Pages 22: Cloud and IoT Applications in Material
           Handling Automation and Intralogistics

    • Authors: Stavros T. Ponis, Orestis K. Efthymiou
      First page: 22
      Abstract: During the last decade, digitalization has borne tremendous changes on the way we live and do business. Industry 4.0, the new industrial revolution, is merging the physical, digital and virtual worlds through emerging technologies that collide with each other and create a distinctive paradigm shift. Even though the topic of Industry 4.0, has attracted significant attention during the past few years, literature in this subject area is still limited. The main objective of this paper is to study the current state of the art and identify major trends and research shortcomings. To that end, the authors conducted a methodological literature review based primarily on the SCOPUS bibliographic database. The review returned 49 relative papers dealing with the paper’s subject area. Through a thorough study of the selected papers, four dominant literature categories were recognized and discussed in detail. According to the literature reviewed, it is evident that massive changes are underway for warehouses and intralogistics facilities. Still, despite the intense discussion and appeal of the subject, one of the most important challenges in the scientific area under study, as the literature highlights, is the absence of a matching, to its significance, number of real-life applications. To that end, this paper provides a detailed description of a Cloud-based IoT application drawn from a Distribution Center (DC) that supplies retail home furnishing and sporting goods products to stores in Greece and the Balkan region, with the objective to showcase the feasibility of such an investment, highlight its potential and provide motivation to practitioners to evaluate and proceed in similar technological investments.
      Citation: Logistics
      PubDate: 2020-09-21
      DOI: 10.3390/logistics4030022
      Issue No: Vol. 4, No. 3 (2020)
       
  • Logistics, Vol. 4, Pages 7: Learning from Returned Products in a Closed
           Loop Supply Chain: A Systematic Literature Review

    • Authors: Ilkka Ritola, Harold Krikke, Marjolein Caniëls
      First page: 7
      Abstract: Product returns are a source of valuable information that can be used by firms and supply chains to improve products, services, and decision making. However, firms are struggling to maximize the value of this information, and the extant scholarly literature is scattered among various research streams. Using a systematic literature review, the state-of-the-art of product returns informational value research and limitations in the current body of work were examined and future directions for research suggested. Three types of informational value were identified, namely operational information, product related information, and customer-related information, along with four value-creating factors, namely strategic information system (IS) decisions, organizational learning, information sharing, and technological solutions. Implications for practitioners are discussed. Lastly, the limitations are discussed, along with recommendations and directions for future research work.
      Citation: Logistics
      PubDate: 2020-04-08
      DOI: 10.3390/logistics4020007
      Issue No: Vol. 4, No. 2 (2020)
       
  • Logistics, Vol. 4, Pages 8: New Seaport Development-Prospects and
           Challenges: Perspectives from Apapa and Calabar Seaports, Nigeria

    • Authors: Adepoju Olusegun Onifade
      First page: 8
      Abstract: Arising from the menace of city logistics problems in Lagos State with reference, in particular, to the Apapa and Tin Can Island seaport axis, the federal and state governments, in collaboration with private investors, seek to establish and/or develop some potential seaports to ease the burden of maritime logistics. Therefore, the objectives of this paper are to examine the prospects and challenges of the development of these proposed seaports and to analyze the efficiencies of the two selected seaports in order to determine the need for the required investment in seaport development. Descriptive analysis was used to examine the challenges of the selected seaports, while stochastic frontier analysis (SFA) was used to determine the efficiency of the selected seaports. The responses of the stakeholders and shipping companies to the various challenges were collected through a well-structured questionnaire, and the 2008–2017 cargo throughputs of the selected seaports were used as the secondary data for stochastic frontier analysis (SFA). It was discovered that the challenges associated with the Calabar Seaport were the draught level, cost of shipment, accessibility to industries, and condition of other modes of transport. From the stochastic frontier, the Lagos Apapa seaport is quite efficient, with an efficiency value of 0.9764921, while Calabar is slightly above average, with a mean efficiency value of 0.6086686. By implication, the congestion in the seaports in the Lagos seaport complex with the maximum level of efficiency creates the need for another seaport, which must be sited at a well-vetted location. In the case of the Calabar seaport, the efficiency level shows that the seaport is yet to be fully utilized. Hence, investment decisions regarding whether to build a new seaport or use dredging to upgrade the existing ones must be carefully analyzed, as the establishment of the proposed Ibom deep seaport may further affect the efficiency of the Calabar seaport(s). In conclusion, demand should be the driving force for port establishment: when a port cannot generate enough traffic, it may not yield returns on investment as expected.
      Citation: Logistics
      PubDate: 2020-04-15
      DOI: 10.3390/logistics4020008
      Issue No: Vol. 4, No. 2 (2020)
       
  • Logistics, Vol. 4, Pages 9: Preparation of a Smart Port Indicator and
           Calculation of a Ranking for the Spanish Port System

    • Authors: Alberto Rodrigo González, Nicoletta González-Cancelas, Beatriz Molina Serrano, Alberto Orive
      First page: 9
      Abstract: Nowadays, the denomination of “smart” is associated with several production and management devices and to logistics and distribution, too. Thus, this qualification is used in different application fields. All of them are different and diverse, but the most important common characteristics of these devices or Smart Systems are based on their novel and more efficient way of working. The smart trend is consolidated in the port environment, too. The ports’ need to become more intelligent is modifying their own operations. Therefore, this paper includes an analysis of Spanish Port System, in order to evaluate its ports, considering the new concept called “Smart Port”. Some indicators and measure variables are defined, to allow for quantifying technical items. These items—both quantitative and qualitative ones—which reflect, in the most objective and complete way possible, the adaptation and achievement of characteristics and objectives associated with the Smart Port concept in all ports were studied, in order to obtain an index of Smart Ports that allows us to calculate the ranking of the Spanish Smart Ports. Considering the analysis of the Smart Port concept and its current and future trends, it has been determined that the development of a port must be based on the digitalization, on use of ICT and on automation of port processes.
      Citation: Logistics
      PubDate: 2020-05-01
      DOI: 10.3390/logistics4020009
      Issue No: Vol. 4, No. 2 (2020)
       
  • Logistics, Vol. 4, Pages 10: 4PL Digital Business Models in Sea Freight
           Logistics: The Case of FreightHub

    • Authors: Tim Gruchmann, Nadine Pratt, Jan Eiten, Ani Melkonyan
      First page: 10
      Abstract: For years, the freight forwarding industry has been facing high levels of global competition. Accelerating this development, new and digital competitors are entering the market, striving to make freight logistics even faster, cheaper, and more predictable. Digitalization processes change traditional logistics businesses, leading to more efficient, flexible, and de-centrally organized logistics services. Sea freight operations, in particular, have the potential to better fulfill customer-specific requirements in competitive and complex environments by integrating digital technologies. Therefore, it is essential to understand how automating informational processes, such as freight brokering, affect business models in the logistics service industry. The present study qualitatively analyzed the case of FreightHub, a fourth-party logistics (4PL) sea freight agency, and compared its business model with traditional third-party logistics (3PL) business models. Applying a digital business model conceptualization, the present paper presents an extended framework for digital sea freight business models. In this line, the study contributes to theory and practice by refining business model research in the maritime transportation context, and providing managerial implications about the opportunities and threats of a digital transition in this industry.
      Citation: Logistics
      PubDate: 2020-05-04
      DOI: 10.3390/logistics4020010
      Issue No: Vol. 4, No. 2 (2020)
       
  • Logistics, Vol. 4, Pages 11: Multi-Criteria Methods Applied in the Studies
           of Barriers Identified in the Implementation of Reverse Logistics of
           E-Waste: A Research Agenda

    • Authors: Barbara Vieira, Patricia Guarnieri, Rose Nofal, Bayram Nofal
      First page: 11
      Abstract: Reverse logistics (RL) has emerged as a form of disposal and a conscious way to use products at the end of their use through the refurbishment, reuse, and recycling processes. Mainly in developing countries, there are still several barriers during the process of implementing reverse logistics, so decision-makers need to know what barriers to prioritize to propose a solution. This paper aims to investigate which multicriteria decision aid (MCDA) methods are most applied in the studies on barriers during the implementation of reverse logistics. For this purpose, we conducted a systematic literature review using a well-known and detailed protocol, considering various papers published in journals from the databases Science Direct, Emerald, Web of Science, and Google Scholar in the period from 2008 to 2019. As a result, a few studies discussing multicriteria methods were identified, analyzing the existing barriers to the implementation of reverse logistics. The main methods and criteria were gathered from the literature and were systematized and discussed to identify a research agenda. This paper contributes to the work carried out by researchers and practitioners in this field and can guide them in their choice of methods to approach decision-making related to reverse logistics.
      Citation: Logistics
      PubDate: 2020-05-13
      DOI: 10.3390/logistics4020011
      Issue No: Vol. 4, No. 2 (2020)
       
  • Logistics, Vol. 4, Pages 12: Public Perception of Autonomous Mobility
           Using ML-Based Sentiment Analysis over Social Media Data

    • Authors: Nikolaos Bakalos, Nikolaos Papadakis, Antonios Litke
      First page: 12
      Abstract: The purpose of this article is to present a framework for capturing and analyzing social media posts using a sentiment analysis tool to determine the views of the general public towards autonomous mobility. The paper presents the systems used and the results of this analysis, which was performed on social media posts from Twitter and Reddit. To achieve this, a specialized lexicon of terms was used to query social media content from the dedicated application programming interfaces (APIs) that the aforementioned social media platforms provide. The captured posts were then analyzed using a sentiment analysis framework, developed using state-of-the-art deep machine learning (ML) models. This framework provides labeling for the captured posts based on their content (i.e., classifies them as positive or negative opinions). The results of this classification were used to identify fears and autonomous mobility aspects that affect negative opinions. This method can provide a more realistic view of the general public’s perception of automated mobility, as it has the ability to analyze thousands of opinions and encapsulate the users’ opinion in a semi-automated way.
      Citation: Logistics
      PubDate: 2020-06-01
      DOI: 10.3390/logistics4020012
      Issue No: Vol. 4, No. 2 (2020)
       
  • Logistics, Vol. 4, Pages 13: Dynamic Scheduling and Communication System
           to Manage Last Mile Handovers

    • Authors: Vijay Paidi, Roger Nyberg, Johan Håkansson
      First page: 13
      Abstract: Last mile handover is the most problematic phase in the delivery process, while real-time communication and dynamic scheduling are major problem areas associated with attended last mile handovers. These problem areas need to be addressed holistically to facilitate efficient last mile handovers. The aim of this paper is to report the design and functionalities of a decision-support system which holistically addresses these problem areas. The functionalities of decision-support system which addresses dynamic scheduling and real-time communication problem areas are discussed using case studies. We conclude that a holistic decision-support system with multiparty communication among the stakeholders facilitates improving customer satisfaction, business opportunities and reducing operational costs for logistics companies.
      Citation: Logistics
      PubDate: 2020-06-16
      DOI: 10.3390/logistics4020013
      Issue No: Vol. 4, No. 2 (2020)
       
  • Logistics, Vol. 4, Pages 2: Acknowledgement to Reviewers of Logistics in
           2019

    • Authors: Logistics Editorial Office Logistics Editorial Office
      First page: 2
      Abstract: The editorial team greatly appreciates the reviewers who have dedicated their considerable time and expertise to the journal’s rigorous editorial process over the past 12 months, regardless of whether the papers are finally published or not [...]
      Citation: Logistics
      PubDate: 2020-01-30
      DOI: 10.3390/logistics4010002
      Issue No: Vol. 4, No. 1 (2020)
       
  • Logistics, Vol. 4, Pages 3: Strategic Analysis of the Automation of
           Container Port Terminals through BOT (Business Observation Tool)

    • Authors: Alberto Camarero Orive, José Santiago, María Corral, Nicoletta González-Cancelas
      First page: 3
      Abstract: The port system is immersed in a process of digital transformation towards the concept of Ports 4.0, under the new regulatory and connectivity requirements that are expected of them. As a result of the changes that the industrial revolution 4.0 is imposing, based on new information technologies and the change of energy model, the electrification of modes of transport from alternative energies and the total digitalization of the processes is occurring. This conversion to digital, intelligent, and green ports requires the implementation of the new technologies offered by the market. The inclusion of these enabling tools has allowed the development of automated terminals under a functional approach. This article aims to offer the responsible entities a new methodology (BOT) that allows them to successfully undertake the automation of terminals, taking into account the reality of the conditions of the environment in which they are developed. By quantifying the factors that facilitate or impede implementation, it will be possible to determine the strategy to be followed and the necessary measures to be adopted in the project; constituting, therefore, a novel management and planning tool.
      Citation: Logistics
      PubDate: 2020-02-04
      DOI: 10.3390/logistics4010003
      Issue No: Vol. 4, No. 1 (2020)
       
  • Logistics, Vol. 4, Pages 4: A Novel Integrated FUCOM-MARCOS Model for
           Evaluation of Human Resources in a Transport Company

    • Authors: Željko Stević, Nikola Brković
      First page: 4
      Abstract: The application of different evaluation approaches in logistics requires considering many factors with different significance for making the final decision. Multi-criteria decision-making (MCDM) methods are often applied in logistics to create different strategies and evaluations. In this paper, research has been carried out in a transport system of an international transport company. An MCDM model has been created for the purpose of human resource evaluation, on which the overall efficiency of the company depends. A total of 23 drivers were evaluated on the basis of five crucial criteria in order to increase employees’ motivation through their periodic remuneration. The Full Consistency Method (FUCOM) was applied to determine the significance of the criteria, while the evaluation of potential solutions was performed using Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). After the results had been obtained, the created model was validated throughout comparisons with seven other MCDM methods.
      Citation: Logistics
      PubDate: 2020-02-13
      DOI: 10.3390/logistics4010004
      Issue No: Vol. 4, No. 1 (2020)
       
  • Logistics, Vol. 4, Pages 5: Overcoming Barriers in Supply Chain
           Analytics—Investigating Measures in LSCM Organizations

    • Authors: Tino Herden, Benjamin Nitsche, Benno Gerlach
      First page: 5
      Abstract: While supply chain analytics shows promise regarding value, benefits, and increase in performance for logistics and supply chain management (LSCM) organizations, those organizations are often either reluctant to invest or unable to achieve the returns they aspire to. This article systematically explores the barriers LSCM organizations experience in employing supply chain analytics that contribute to such reluctance and unachieved returns and measures to overcome these barriers. This article therefore aims to systemize the barriers and measures and allocate measures to barriers in order to provide organizations with directions on how to cope with their individual barriers. By using Grounded Theory through 12 in-depth interviews and Q-Methodology to synthesize the intended results, this article derives core categories for the barriers and measures, and their impacts and relationships are mapped based on empirical evidence from various actors along the supply chain. Resultingly, the article presents the core categories of barriers and measures, including their effect on different phases of the analytics solutions life cycle, the explanation of these effects, and accompanying examples. Finally, to address the intended aim of providing directions to organizations, the article provides recommendations for overcoming the identified barriers in organizations.
      Citation: Logistics
      PubDate: 2020-02-26
      DOI: 10.3390/logistics4010005
      Issue No: Vol. 4, No. 1 (2020)
       
  • Logistics, Vol. 4, Pages 6: Financial Spillover Effects in Supply Chains:
           Do Customers and Suppliers Really Benefit'

    • Authors: Erik Hofmann, Yannick Sertori
      First page: 6
      Abstract: Studies have shown that leading supply chain companies are associated with significantly higher company financial ratios than competitors. In contrast, little research has focused on the financial performance of the affiliated suppliers and customers of such supply chain leader (SCL) companies. Thus, the central purpose of this paper is to determine, from a financial perspective, whether suppliers and customers benefit or lose by participating in a SCL network (so called “financial spillover effects”). Companies that were ranked in the Gartner Supply Chain Top 25 were selected as SCLs. For each selected firm, the five largest suppliers and customers were identified and compared with a control sample from the same industry. In order to elaborate on existing insights into the (financial) outcome of supply chain relationships, we applied an explorative approach with abductive reasoning, while comparing the secondary data for 224 SCL supplier (56 firms) and 168 SCL customer (42 firms) firm-years with 1940 (485 firms) and 1544 (386 firms) control firm-years, respectively. The following insights are made: First, the superior financial performance of SCLs was confirmed. Second, the financial performance of suppliers and customers showed superior liquidity and activity ratios but inferior profitability ratios. Third, suppliers showed much more significant results than customers.
      Citation: Logistics
      PubDate: 2020-03-10
      DOI: 10.3390/logistics4010006
      Issue No: Vol. 4, No. 1 (2020)
       
 
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