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Special Issue "New Trends in Sustainable Supply Chain and Logistics Management"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: 31 March 2023 | Viewed by 6214

Special Issue Editors

Prof. Dr. Lu Zhen
E-Mail Website
Guest Editor
School of Management, Shanghai University, 200444 Shanghai, China
Interests: logistics and supply chain optimization; green port and shipping network management
Dr. Junliang He
E-Mail Website
Guest Editor
China Institute of FTZ Supply Chain, Shanghai Maritime University, 201306 Shanghai, China
Interests: supply chain and logistics management; operations research and intelligent optimization
Dr. Lufei Huang
E-Mail Website
Guest Editor
School of Financial Technology, Shanghai Lixin University of Accounting and Finance, 200000 Shanghai, China
Interests: sustainable supply chain management

Special Issue Information

Dear Colleagues,

For the last two decades, the topic of sustainable supply chain and logistics management has attracted considerable interest from academics and practitioners. The sustainable supply chain is demonstrated as a complex network system that involves diverse entities and pursues three pillars of sustainability (economic, environmental, and social). Sustainable logistics connects the entities of the supply chain and maintains its sustainability.

Noticeably, technological advances and idea innovations play crucial roles in improving supply chain and logistics sustainability. With an electric motor instead of an internal combustion engine, electric vehicles emit no exhaust from a tailpipe. This technology can reduce greenhouse gas emissions and improve air quality during the transportation of goods. The closed-loop supply chain combines the forward supply chain with reverse logistics and recovers value from used products while creating as little waste as possible. This idea reshapes the structure of sustainable supply chains. Recently, this trend has been widening. The development of emerging technologies, industry 4.0, Internet of Things, and artificial intelligence is offering new opportunities to develop more sustainability for supply chain and logistics management.

The aims of this Special Issue are (1) to deliver a deeper understanding of state-of-the-art sustainable practices from different sectors—manufacturing, transportation, health care, etc.; (2) to provide up-to-date management insights for sustainable operations through different decision levels—vehicle routing problem, smart warehouse design, industrial ecology optimization, etc.; and (3) to explore the frontier of sustainable innovations by employing different technologies—renewable energy, shore power, blockchain, etc.

This Special Issue is devoted to publishing the latest significant original articles and reviews related to those purposes mentioned above. Potential topics include but are not limited to:

  • New optimization approaches for sustainable supply chain and logistics management; 
  • New technology innovations for sustainable supply chain and logistics management;
  • Data-driven sustainable supply chain and logistics management;
  • Green transportation management and optimization;  
  • Sustainable supply chain finance. 

References

Zhen, L., Wu, Y., Wang, S., & Laporte, G. (2020). Green technology adoption for fleet deployment in a shipping network. Transportation Research Part B: Methodological, 139, 388–410.

Zhen, L., Xu, Z., Ma, C., & Xiao, L. (2020). Hybrid electric vehicle routing problem with mode selection. International Journal of Production Research, 58(2), 562–576.

Huang, L., Zhen, L., & Yin, L. (2020). Waste material recycling and exchanging decisions for industrial symbiosis network optimization. Journal of Cleaner Production, 276, 124073.

Tan, C., & He, J. (2021). Integrated proactive and reactive strategies for sustainable berth allocation and quay crane assignment under uncertainty. Annals of Operations Research, 1–32.

Barbosa-Póvoa, A. P., da Silva, C., & Carvalho, A. (2018). Opportunities and challenges in sustainable supply chain: An operations research perspective. European Journal of Operational Research, 268(2), 399–431.

Prof. Dr. Lu Zhen
Dr. Junliang He
Dr. Lufei Huang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Sustainable supply chain
  • Sustainable logistics
  • Green transportation
  • Green port operations
  • Sustainable supply chain finance

Published Papers (7 papers)

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Research

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Article
Simulation Model for Wire Harness Design in the Car Production Line Optimization Using the SimPy Library
Sustainability 2022, 14(12), 7212; https://doi.org/10.3390/su14127212 - 13 Jun 2022
Viewed by 301
Abstract
The automotive industry is one of the most important economic sectors in the world. At the beginning, vehicles only had mechanical components, so the use of an automotive wire harness was not indispensable. Cars today are equipped with electronic components that, in addition [...] Read more.
The automotive industry is one of the most important economic sectors in the world. At the beginning, vehicles only had mechanical components, so the use of an automotive wire harness was not indispensable. Cars today are equipped with electronic components that, in addition to the basic operations of moving, turning, and stopping, perform more and more functions every day. Wiring harnesses are indispensable for controlling these electronic components. Automotive wiring harnesses have hundreds of variants, are principally manufactured with customized designs, and are measured specifically for each car. A large number of production variants increase labor hours, as well as rework, inventory, and manufacturing costs. Even when technologies exist to assist in the design of production lines, today, the design of production lines is mainly based on experience from previous cases. This paper aims to show how a discrete event simulation permits support for decision making for the proper design of assembly lines, as well as identifying possible unbalances in production lines and overloaded processes. In our work, we design and implement a discrete event simulation model of this production using the SimPy Python library. Finally, a case study in the automotive sector is presented, a production week is simulated, and the current plant configuration and possible improvement scenarios are analyzed. Full article
(This article belongs to the Special Issue New Trends in Sustainable Supply Chain and Logistics Management)
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Article
An Artificial-Immune-System-Based Algorithm Enhanced with Deep Reinforcement Learning for Solving Returnable Transport Item Problems
Sustainability 2022, 14(10), 5805; https://doi.org/10.3390/su14105805 - 11 May 2022
Viewed by 282
Abstract
This paper proposes a new approach, i.e., virtual pooling, for optimising returnable transport item (RTI) flows in a two-level closed-loop supply chain. The supply chain comprises a set of suppliers delivering their products loaded on RTIs to a set of customers. RTIs are [...] Read more.
This paper proposes a new approach, i.e., virtual pooling, for optimising returnable transport item (RTI) flows in a two-level closed-loop supply chain. The supply chain comprises a set of suppliers delivering their products loaded on RTIs to a set of customers. RTIs are of various types. The objective is to model a deterministic, multi-supplier, multi-customer inventory routing problem with pickup and delivery of multi-RTI. The model includes inventory-level constraints, the availability of empty RTIs to suppliers, and the minimisation of the total cost, including inventory holding, screening, maintenance, transportation, sharing, and purchasing costs for new RTIs. Furthermore, suppliers with common customers coordinate to virtually pool their inventory of empty RTIs held by customers so that, when loaded RTIs are delivered to customers, each may benefit from this visit to pick up the empty RTI, regardless of the ownership. To handle the combinatorial complexity of the model, a new artificial-immune-system-based algorithm coupled with deep reinforcement learning is proposed. The algorithm combines artificial immune systems’ strong global search ability and a strong self-adaptability ability into a goal-driven performance enhanced by deep reinforcement learning, all tailored to the suggested mathematical model. Computational experiments on randomly generated instances highlight the performance of the proposed approach. From a managerial point of view, the results stress that this new approach allows for economies of scale and cost reduction at the level of all involved parties to about 40%. In addition, a sensitivity analysis on the unit cost of transportation and the procurement of new RTIs is conducted, highlighting the benefits and limits of the proposed model compared to dedicated and physical pooling modes. Full article
(This article belongs to the Special Issue New Trends in Sustainable Supply Chain and Logistics Management)
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Article
Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method
Sustainability 2022, 14(9), 5632; https://doi.org/10.3390/su14095632 - 07 May 2022
Viewed by 433
Abstract
The logistics sector plays one of the most important roles in the supply chain with the aim of providing a fast, flexible, safe, economical, efficient, and environmentally acceptable performance of freight transport flows. In addition, the popularization of the concept of a circular [...] Read more.
The logistics sector plays one of the most important roles in the supply chain with the aim of providing a fast, flexible, safe, economical, efficient, and environmentally acceptable performance of freight transport flows. In addition, the popularization of the concept of a circular economy (CE) used to retain goods, components, and materials at their highest usability and value at all times, illustrates the importance of the adequate performance of reverse logistics (RL) processes. However, traditional RL is unable to cope with the requirements of modern supply chains and requires the application of Industry 4.0 technologies, which would make it more efficient. The main aim of this study was to evaluate the applicability of various Industry 4.0 technologies in the RL sector in order to point out the most applicable ones. To solve the defined problem, a novel multi-criteria decision making (MCDM) model was defined by combining the best—worst method (BWM) to obtain the criteria weights, and the newly developed comprehensive distance-based ranking (COBRA) method to rank the technologies. Another aim of the study was to validate the newly established method. The results indicated that the most applicable technologies were the Internet of Things, cloud computing, and electronic—mobile marketplaces. These technologies will have a significant impact on the development of RL and the establishment of CE systems, thus bringing about all the related positive effects. Full article
(This article belongs to the Special Issue New Trends in Sustainable Supply Chain and Logistics Management)
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Article
Identifying and Predicting the Credit Risk of Small and Medium-Sized Enterprises in Sustainable Supply Chain Finance: Evidence from China
Sustainability 2021, 13(10), 5714; https://doi.org/10.3390/su13105714 - 19 May 2021
Cited by 5 | Viewed by 1446
Abstract
COVID-19 has created a strong demand for supply chain finance (SCF) for small and medium-sized enterprises (SMEs). However, the rapid development of SCF leads to more complex credit risks. How to effectively discriminate and manage SMEs to reduce credit risk has become one [...] Read more.
COVID-19 has created a strong demand for supply chain finance (SCF) for small and medium-sized enterprises (SMEs). However, the rapid development of SCF leads to more complex credit risks. How to effectively discriminate and manage SMEs to reduce credit risk has become one of the most critical issues in SCF. In addition, sustainable SCF (SSCF) has received increasing attention, and credit risk management is important to achieve SSCF. Therefore, it is significant to identify the key factors influencing the credit risk of SMEs and construct a prediction model to promote SSCF. This study uses the lasso-logistic model to identify factors influencing the credit risk of SMEs and to predict the credit risk of SMEs. The empirical results show that (i) the key factors influencing SMEs’ credit risk include six variables—the matching degree of order data, ratio of contract enforcement, number of contract defaults, degree of business concentration, and number of administrative penalties; and (ii) the lasso-logistic model can identify the key factors influencing credit risk and have a better prediction performance. Moreover, transaction credit and reputation supervision significantly influence the credit risk of SMEs. Full article
(This article belongs to the Special Issue New Trends in Sustainable Supply Chain and Logistics Management)
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Article
Sustainable Supply Chain Decisions under E-Commerce Platform Marketplace with Competition
Sustainability 2021, 13(8), 4162; https://doi.org/10.3390/su13084162 - 08 Apr 2021
Cited by 4 | Viewed by 1155
Abstract
Motivated by the industrial observation that the e-commerce platform marketplaces (e.g., Amazon) are increasingly launching sustainable strategies, this study aims to build an analytical framework to guide managers on making sustainable decisions. This study builds a stylized game-theoretical model in the sustainable supply [...] Read more.
Motivated by the industrial observation that the e-commerce platform marketplaces (e.g., Amazon) are increasingly launching sustainable strategies, this study aims to build an analytical framework to guide managers on making sustainable decisions. This study builds a stylized game-theoretical model in the sustainable supply chain context, where the competitive traditional product manufacturers sell their products through the platform’s marketplace, while the platform decides whether to introduce the green products and the pricing strategy. We find that, when the evaluation difference for the green product is sufficiently low, the introduction of the green product by the platform benefits the manufacturers (or third-party sellers). Interestingly, a higher platform fee makes a higher likelihood of a win-win situation between the platform and manufacturers. Moreover, when consumers value green products sufficiently higher than traditional products, the traditional products’ manufacturers can also benefit from the green product entry. Full article
(This article belongs to the Special Issue New Trends in Sustainable Supply Chain and Logistics Management)
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Article
Quantitative Evaluation on Street Vitality: A Case Study of Zhoujiadu Community in Shanghai
Sustainability 2021, 13(6), 3027; https://doi.org/10.3390/su13063027 - 10 Mar 2021
Cited by 6 | Viewed by 1060
Abstract
Streets functioning as important components of urban public space are not only the primary carriers of traffic but also essential spaces for individuals’ daily activities, including recreation and communication. The paper highlights the social characteristics of streets by integrating them into one single [...] Read more.
Streets functioning as important components of urban public space are not only the primary carriers of traffic but also essential spaces for individuals’ daily activities, including recreation and communication. The paper highlights the social characteristics of streets by integrating them into one single index of vitality. The application of open recourse data combined with empirical research forms the foundation of a quantitative exploration on the street vitality of Zhoujiadu Community in Shanghai. Supported by the ideology of street urbanism, this paper defines the concept of “street vitality”, and then constructs a quantitative evaluation index system. Afterwards, a multiple linear regression model is developed to explore the main influential factors of street vitality. This work evidences the relationship between the environment and citizens’ activities and is beneficial to the potential improvement of street space quality and the enhancement of streets with higher vitality. Results from this work proved that the constituent factors of social function density, mixing degree of social functions, distance from the nearest subway station and green view have strong impacts on street vitality, among which the social function density and mixing degree of social functions are paramount. Full article
(This article belongs to the Special Issue New Trends in Sustainable Supply Chain and Logistics Management)
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Review

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Review
Yard Operations and Management in Automated Container Terminals: A Review
Sustainability 2022, 14(6), 3419; https://doi.org/10.3390/su14063419 - 15 Mar 2022
Viewed by 692
Abstract
With the increasing volume of global moving containers and the application of automation technologies, it is important for container terminals to improve handling efficiency. This paper provides a comprehensive literature review on yard management issues in automated container terminals, which is proven to [...] Read more.
With the increasing volume of global moving containers and the application of automation technologies, it is important for container terminals to improve handling efficiency. This paper provides a comprehensive literature review on yard management issues in automated container terminals, which is proven to be the key to improve container handling efficiency. This paper analyzes the hotspots in the current yard management research based on the VOSviewer for the last 20 years. More than 600 papers are recorded, and we further discuss 75 papers closely related to the research aiming to identify main features in current research. The research is divided into several clusters based on the 75 papers by VOSviewer. After reviewing and analyzing the literature on these clusters, this paper demonstrates the contribution and gap in the current research and puts forward emerging pressing research topics on yard management in automated container terminals for future research. Full article
(This article belongs to the Special Issue New Trends in Sustainable Supply Chain and Logistics Management)
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