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Systems
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Emerging Technologies in Supply Chain Management: Enhancing Traceability, Efficiency, Resilience,...
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Emerging Technologies in Supply Chain Management: Enhancing Traceability, Efficiency, Resilience, and Sustainability

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Supply Chain Management".

Deadline for manuscript submissions: 20 March 2025 | Viewed by 2283

Special Issue Editors

Dr. Radmehr P. Monfared

E-Mail Website
Guest Editor
School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK
Interests: digitalized technologies; supply chain management; business process analysis and simulation; blockchain technologies
Special Issues, Collections and Topics in MDPI journals
Dr. Diana Segura-Velandia

E-Mail Website
Guest Editor
Lecturer in ICT for Manufacturing, Loughborough University, Loughborough LE11 3TU, UK
Interests: artificial intelligence; decision-making; materials; sensors; modeling; simulation; Systems Engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Rajesh Shankar-Priya

E-Mail Website
Guest Editor
School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK
Interests: technology; management; supply chain management; circular economy; sustainability

Special Issue Information

Dear Colleagues,

This Special Issue explores integrating emerging technologies such as blockchain, the Internet of Things (IoT), and artificial intelligence (AI) into traditional supply chain management systems to enhance traceability, resilience, and operational efficiency. We welcome original research articles, review papers, and case studies that address, but are not limited to, the following topics:

  • Applications of blockchain technology in supply chain traceability and security;
  • IoT-enabled solutions for real-time tracking, monitoring, and automation of supply chain processes;
  • AI-driven approaches for predictive analytics, decision-making, and optimization in supply chain management;
  • Integration of multiple technologies to create comprehensive and interoperable traceability solutions;
  • Case studies demonstrating successful implementations and outcomes of technology-driven traceability systems;
  • Challenges and opportunities in adopting, scaling, and maintaining technology-enabled traceability solutions related to supply chain management;
  • Impacts of technology integration on supply chain transparency, sustainability, and resilience in the face of disruptions.

Articles should provide insights into how these technologies can modernize supply chain operations, improve transparency, enhance traceability, reduce costs, and mitigate risks. They should also discuss practical implications and offer recommendations for industry practitioners, policymakers, and researchers.

We encourage contributions that address the latest advancements and practical implementations, as well as theoretical frameworks and models that push the boundaries of current supply chain management practices.

We look forward to receiving your contributions.

Dr. Radmehr P. Monfared
Dr. Diana Segura-Velandia
Dr. Rajesh Shankar-Priya
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. Systems is an international peer-reviewed open access monthly 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 2400 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

  • supply chain management
  • digital transformation
  • digital currency
  • traceability
  • blockchain
  • cyber security
  • smart contracts
  • CSMM
  • IoT
  • AI

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

22 pages, 1992 KiB  
Article
Investment Decision and Coordination of Fresh Supply Chain Blockchain Technology Considering Consumer Preference
by Xiaohu Xing and Renzhi Miao
Systems 2024, 12(12), 522; https://doi.org/10.3390/systems12120522 - 25 Nov 2024
Cited by 1 | Viewed by 598
Abstract
In this paper, we study the decision-making and coordination problem of a two-tier fresh food supply chain consisting of a supplier and a retailer. Considering the influencing factors of consumers’ information preference, freshness, and misrepresentation, we construct a centralized decision-making model and a [...] Read more.
In this paper, we study the decision-making and coordination problem of a two-tier fresh food supply chain consisting of a supplier and a retailer. Considering the influencing factors of consumers’ information preference, freshness, and misrepresentation, we construct a centralized decision-making model and a decentralized decision-making Stackelberg game model. We also analyze the changes in the equilibrium solution of the supply chain before and after the input of blockchain technology, identify the conditions for the investment in blockchain technology, and design a “cost-sharing + benefit-sharing” combination contract for the coordination of the blockchain. The results are as follows: Firstly, under decentralized decision-making, if the fresh supplier misreports the freshness of the product, it will mislead the retailer to increase the order quantity, and its own profit will rise. Therefore, the fresh supplier has the motivation to misreport freshness. However, the backlog of fresh products will eventually damage the retailer’s profit, and the overall profit of the supply chain will also be damaged. Therefore, the increase in the profit of the fresh supplier is at the expense of the overall interests and stability of the supply chain. Second, when the investment cost of blockchain technology is within a certain threshold, it is feasible to invest in blockchain technology. Consumers’ preference for traceable fresh products will encourage the fresh supply chain to improve the level of information traceability and increase investment in blockchain technology. Finally, there are double marginal effects in the fresh supply chain under decentralized decision-making. The combined contract of “cost-sharing + revenue-sharing” can coordinate the overall revenue of the supply chain to the level of centralized decision-making. When the contract parameters meet certain conditions, Pareto improvement in revenue can be achieved for all parties involved in the fresh supply chain. The willingness of retailers to invest in blockchain technology will change with the change in contract parameters. When the proportion of retailers’ costs and the proportion of shared income are higher, the level of retailers’ investment in blockchain technology will decrease. Therefore, the interests of supply chain members need to be balanced in the process of contract coordination. Full article
(This article belongs to the Special Issue Emerging Technologies in Supply Chain Management: Enhancing Traceability, Efficiency, Resilience, and Sustainability)
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31 pages, 686 KiB  
Article
Evaluation Research on Resilience of Coal-to-Liquids Industrial Chain and Supply Chain
by Anbo Wu, Pingfan Li, Linhui Sun, Chang Su and Xinping Wang
Systems 2024, 12(10), 395; https://doi.org/10.3390/systems12100395 - 26 Sep 2024
Cited by 1 | Viewed by 1234
Abstract
The objective of this study is to enhance the resilience of the coal-to-liquids (CTL) industrial chain and supply chain to withstand increasing shock pressures. There is an urgent need to improve the resilience of the industrial chain and supply chain. This paper identifies [...] Read more.
The objective of this study is to enhance the resilience of the coal-to-liquids (CTL) industrial chain and supply chain to withstand increasing shock pressures. There is an urgent need to improve the resilience of the industrial chain and supply chain. This paper identifies 21 resilience-influencing factors from 4 perspectives: absorption capacity, adaptability, recovery capacity, and self-learning capacity; it then constructs an evaluation indicator system. The Interval Type 2 Fuzzy-Decision-Making Trial and Evaluation Laboratory-Analytic Network Process (IT2F-DEMATEL-ANP) method is adopted to determine the weights of the indicator system, and a resilience evaluation is performed based on the Interval Type 2 Fuzzy-Prospect Theory-Technique for Order Preference by Similarity to an Ideal Solution (IT2F-PT-TOPSIS) method. Furthermore, in the case of the CTL industrial chain and supply chain of China Shenhua Energy Group Ningxia Coal Industry Co., Ltd. (CENC) (Ningxia, China), this study ranks the resilience level from 2018 to 2022 to identify the factors that have contributed to a reduction in resilience and to implement measures to enhance the resilience of the CTL industrial chain and supply chain. The results show that the level of the CTL industrial chain and supply chain resilience was lowest in 2020, while it was highest in 2021. Factors such as the degree of domestication of key technologies, the rationality of the CTL industry layout, and the stability of supply and demand chains are identified as significant determinants of resilience levels. This points the way to enhancing the resilience of the CTL industry and supply chain. Full article
(This article belongs to the Special Issue Emerging Technologies in Supply Chain Management: Enhancing Traceability, Efficiency, Resilience, and Sustainability)
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