A graph-based model to measure structural redundancy for supply chain resilience

• Published in: International journal of production research Vol. 57; no. 20; pp. 6385 - 6404
• Main Authors: Tan, Wen Jun, Zhang, Allan N., Cai, Wentong
• Format: Journal Article
• Language: English
• Published: London Taylor & Francis 18-10-2019; Taylor & Francis LLC
• Subjects: Case studies; Globalization; Graph theory; Redundancy; Reengineering; Resilience; supply chain network; supply chain redundancy; Supply chain resilience; supply chain risk management; Supply chains
• ISSN: 0020-7543; 1366-588X
• DOI: 10.1080/00207543.2019.1566666

Globalisation and lean initiatives increase the vulnerabilities of the supply chains (SC), where disruptions in any plant in a supply chain network (SCN) can propagate throughout the whole SCN. Redundancy is part of the SC re-engineering to improve supply chain resilience (SCRES). This paper presents a conceptual model of an SCN using graph theory, considering the relationships between plants and materials. Based on the model, the structural redundancy of the SCN is measured, which is used to assess SCRES. This assessment approach focuses on the resilience of the SCN against disruptions. Case studies are discussed to illustrate the applicability of this model and show that increasing structural redundancy of the SCN improves SCRES against disruptions.