Integrating Generative AI Into Circular Supply-Chain Safety Management: A Forward-Looking Perspective
Circular supply chains (CSCs) aim to minimize ecological footprints by closing the loop on resource use. However, safety concerns in CSCs, especially in activities, such as recycling and remanufacturing, present significant barriers. Current safety management systems in CSCs are often reactive and limited in scope, failing to address safety concerns in interorganizational complexities. Therefore, we explore how generative artificial intelligence (Gen AI) can revolutionize safety management in CSCs by providing proactive monitoring, predictive analysis, and enhanced training. Nevertheless, integrating this technology requires addressing technical, data security, operational, trust, and ethical issues. Future research and practices should focus on overcoming these barriers to harness Gen AIs potential for enhancing safety in CSCs.
Authors
- Zhuowen Chen (ORCID: https://orcid.org/0000-0002-6130-832X)
- Abdullah Yıldızbaşı (ORCID: https://orcid.org/0000-0001-8104-3392)
- Joseph Sarkis (ORCID: https://orcid.org/0000-0003-0143-804X)
Institutions
- Worcester Polytechnic Institute (US)
Publication Details
- Journal
- IEEE Engineering Management Review
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/emr.2025.3541542
- Citations
- 6
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 13.36