Potential Solutions for Environmentally Friendly Supply Chain Transformation
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 175
Special Issue Editors
Interests: sustainable evaluation and management; decision analysis based on big data; collective intelligence and collective behavior
Special Issues, Collections and Topics in MDPI journals
Interests: green supply chain management; closed-loop supply chain operation management
Interests: sustainable evaluation and management; group decision analysis; social network
Special Issue Information
Dear Colleagues,
Against the background of the profound restructuring of the global economic landscape, intensifying climate change, and increasingly urgent resource constraints, the transformation of supply chains to become more environmentally friendly is imperative. However, addressing the complexities of this transformation requires a thorough exploration of potential solutions. In practice, firms are attempting to become environmentally friendly through various means, including supply chain collaboration, green technology innovation, and the advancement of the circular economy. Particularly, Industry 4.0 technologies, including artificial intelligence, blockchain, and IoT, present significant opportunities to facilitate environmentally friendly supply chain transformation. This Special Issue seeks the submission of contributions that delve into technological applications and innovative practices used to promote environmentally friendly supply chains. To meet this aim, this Special Issue invites the submission of original and meaningful works which include real-world practices of environmentally friendly supply chain transformation management and decision support. Research from an interdisciplinary perspective is also welcome.
Research areas may include, but are not limited to, the following:
- Artificial intelligence-driven resource allocation optimization;
- Strategic assessment of data-driven carbon footprint in supply chains;
- Impact of digital technologies on the social and environmental dimension in supply chains;
- Data-driven carbon emission control strategy decisions in supply chain;
- Supply chain transformation policy making with group opinions on social media;
- Collaborative decision-making models for reducing environmental footprints;
- Data-driven closed-loop supply chain management and model design;
- Artificial intelligence-driven product remanufacturing operation management;
- Data-driven product life cycle management;
- Green logistics optimization in the environmentally friendly transformation of supply chains;
- Design of cooperation model among supply chain members in operations management;
- The operational decision-making issues of applying blockchain technology in supply chains.
We look forward to receiving your contributions.
Dr. Mingwei Wang
Dr. Zhifeng Qian
Dr. Yuanyuan Fu
Dr. Hengyu Li
Guest Editors
Manuscript Submission Information
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Keywords
- environmentally friendly transformation
- green supply chain
- low carbon emissions
- sustainability decision-making
- artificial intelligence
- data-driven decision-making
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