Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles
Abstract
Examined the resilient sustainable reverse logistics network process using Big Data. A robust optimization approach has been used to address the uncertainty. Developed a modified Cross Entropy (CE) algorithm as a solution method.
- Publication:
-
Transportation Research Part E: Logistics and Transportation Review
- Pub Date:
- May 2021
- DOI:
- 10.1016/j.tre.2021.102279
- Bibcode:
- 2021TRPE..14902279G
- Keywords:
-
- Resilient sustainable reverse logistics network;
- Robust optimization;
- Cross-entropy algorithm;
- Big data;
- ELVs