Data-driven Wasserstein distributionally robust mitigation and recovery against random supply chain disruption

Transportation Research Part E: Logistics and Transportation Review（2022）

引用 11|浏览7

暂无评分

摘要

•Jointly studied robust supply chain network design and recovery management.•Addressed uncertain disruptions on plant production capacities.•Proposed a general recovery model to depict the recovery speed and duration.•Developed a Wasserstein distributionally robust optimization model and an algorithm.•Provided implications on supply chain robust design and recovery investments.

查看译文

关键词

Supply chain disruption management,Recovery-fund based mitigation strategy,Partial backorders,Wasserstein distributionally robust optimization,Joint benders-decomposition and genetic-algorithm

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要