A model of resilient supply chain network design: A two-stage programming with fuzzy shortest path

• Published in: Expert systems with applications Vol. 41; no. 1; pp. 39 - 49
• Main Authors: Kristianto, Yohanes, Gunasekaran, Angappa, Helo, Petri, Hao, Yuqiuqe
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2014
• Subjects: Benders decomposition; Computer networks; Fuzzy; Fuzzy set; Fuzzy set theory; Networks; Programming; Resilient supply chain; Routing (telecommunications); Shortest path problem; Shortest-path problems; Supply chain design; Supply chains; Two-stage programming; Shortest path problem; Two-stage programming; Supply chain design; Benders decomposition; Fuzzy set; Resilient supply chain

A supply chain network design needs to consider the future probability of reconfiguration due to some problems of disaster or price changes. The objective of this article is to design a reconfigurable supply chain network by optimizing inventory allocation and transportation routing. A two-stage pro...