Data-Driven Supply Chain Management and Logistics Engineering
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 23 November 2025 | Viewed by 346
Special Issue Editors
Interests: supply chain management; digital supply chains; circular economy; educational technology; logistics
Interests: digital supply chains; autonomous vehicles; Internet of Things; industrial informatics; machine learning
Special Issue Information
Dear Colleagues,
Modern global supply chains are experiencing disruptions due to economic, environmental, societal and technological challanges. Therefore, the digital transformation of supply chains can lead to a higher level of operational excellence.
Alongside the Industry 5.0 ecosystem, Digital Supply Chains (DSCs) incorporate state-of-the-art technologies (cloud computing, blockchain technology, IoT networks and 5G communications, Artificial Intelligence (AI) applications) while focusing on the dimensions of sustainability and resilience.
Sophisticated sensor networks collect critical data using communication protocols (for example LoRa and 5G networks) in order to feed cloud computing services. Cloud applications are employed to handle data streams and AI technologies are used for vetting, classifying potential SC stakeholders, analyzing SC streams, and facilitating decision-making. Thus, Generative AI and Large Language Models (LLMs) offer promising solutions for real-time data management.
It is evident that although these technologies are important, their ability to address SC disruptions has not been fully investigated. Moreover, we lack holistic data-driven frameworks that capture all the emerging major challenges that SCs will face (including security, sustainability and resilience) in the coming years.
This Special Issue will facilitate the effective collection of data sources and the implementation of a technology-enabled auditing process (i.e., data collection, management, sharing, analysis, and decision-making process) that can enhance the veracity, visibility and transparency of DSCs.
DSC entities (retailer, distributor, wholesaler, manufacturer, supplier) should focus on automating processes, sharing information and coordinating in order to overcome these challenges. For example, it is critical to (i) monitor the charging levels, the condition and scheduling of electric vehicles; (ii) monitor agricultural supply chains and agro-logistics processes; (iii) safeguard the quality of products using traceability standards in supply chains; and (iv) ballance the utilization and maintenance of SC equipment in order to ensure 24/7 operations.
Prof. Dr. Dimitrios Vlachos
Dr. Dimitrios Bechtsis
Dr. Nikos Tsotsolas
Guest Editors
Manuscript Submission Information
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Keywords
- data-driven supply chains
- digital supply chains
- smart logistics
- sustainability
- resilience
- artificial intelligence
- traceability
- Internet of Things (IoT)
- asset management in SCs
- Maintenance 5.0 in SCs
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