Sustainable supply chain management trends in world regions: A data-driven analysis
Abstract
This study aims to imply a data-driven analysis for sustainable supply chain management. A hybrid methods are adopted due to the uncertainty and complexity. Big-data, closed-loop supply chain, industry 4.0, policy, remanufacturing, supply chain network design are the indicators for trends and challenges. Latin America and Caribbean, and Africa shows for improvement by distinct apprehensions on eco-efficiency and risk management.
- Publication:
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Resources, Conservation and Recycling
- Pub Date:
- April 2021
- DOI:
- 10.1016/j.resconrec.2021.105421
- Bibcode:
- 2021RCR...16705421T
- Keywords:
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- Sustainable supply chain management;
- Data-driven analysis;
- Fuzzy Delphi method;
- Entropy weight method;
- Fuzzy decision-making trial and evaluation laboratory