Application of Data-Driven in Sustainable Logistics and Supply Chain

Dear Colleagues,

In the present global landscape, where environmental pollution, short-term resource availability, and slow economic development represent increasingly severe conflicts, the field of logistics and supply chain management is facing unprecedented challenges. As such, the execution of a sustainable development model for logistics and supply chains has emerged as a shared international goal.

Data-driven technologies play a crucial role in advancing sustainable logistics and supply chains. By collecting and analyzing big data, companies can enhance their ability to respond to market fluctuations, optimize supply chain collaboration, streamline operational efficiency, and achieve cost reduction. For example, by using big data and artificial intelligence technology, companies can analyze logistics paths and find optimal solutions for transportation routes; by integrating data from all parts of the supply chain, an intelligent decision-making system can be established; by analyzing historical data, potential supply chain risks can be predicted and assessed, and contingency plans can be generated. Despite the huge scope of data-driven technologies available, there have been few attempts to apply them to sustainable logistics and supply chains.

Therefore, this Special Issue aims to explore in depth the application of data-driven technologies in sustainable logistics and supply chains. Technologies, such as the Internet of Things, blockchains, and big data technologies, are redefining how logistics and supply chain businesses operate. As the field continues to evolve, it is essential that researchers and practitioners stay abreast of the latest developments and contribute to the growing knowledge of data-driven applications in logistics and supply chains.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Sustainable logistics;
• Data-driven supply chain management;
• Design and application of artificial intelligence, big data, and Internet of Things in supply chain optimization;
• Data-driven forecasting and analysis;
• A data-driven approach to sustainable supply chains;
• Big data analytics in logistics and supply chain;
• Data-driven design and optimization;
• Data-driven impact on all aspects of social value in logistics and supply chain management.

I look forward to receiving your submissions.

Dr. Wen Jiang
Guest Editor

Manuscript Submission Information

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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.

• sustainable logistic
• sustainable inventory management
• logistics route optimization
• data-driven technology
• operation management and optimization
• sustainable supply chain
• supply chain coordination
• sustainable supply chain network design
• supply chain visualization
• carbon emission reduction strategy