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 1030
Special Issue Editors
Interests: digitalized technologies; supply chain management; business process analysis and simulation; blockchain technologies
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; decision-making; materials; sensors; modeling; simulation; Systems Engineering
Special Issues, Collections and Topics in MDPI journals
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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