Supply chain vulnerability assessment: A network based visualization and clustering analysis approach. Issue 1 (January 2018)

• Record Type: Journal Article
• Authors: Blackhurst, Jennifer; Rungtusanatham, M. Johnny; Scheibe, Kevin; Ambulkar, Saurabh
• Is Part Of: Journal of purchasing and supply management. Volume 24:Issue 1(2018)
• Page Start: 21
• Page End: 30
• Publication Date: 2018-01
• Subjects: Supply chain risk management -- Supply chain vulnerability -- Supply chain design -- Petri net -- Supply chain disruptions; Industrial procurement -- Europe -- Management -- Periodicals; Purchasing -- Europe -- Periodicals; Purchasing -- Europe -- Management -- Periodicals; Materials management -- Europe -- Periodicals; Industrial procurement -- Management; Materials management; Purchasing; Purchasing -- Management; Europe; Periodicals; 658.7205
• DOI: 10.1016/j.pursup.2017.10.004
• Languages: English
• ISSNs: 1478-4092

Abstract

Abstract: Supply chains are large, complex, and often unpredictable. Purchasing and supply managers and supply chain risk managers need methods and tools to enable them to quickly understand how unexpected disruptions in the supply chain start and grow and to what extent will they negatively impact the flow of goods and services. This paper introduces a methodological approach that can be used by both researchers and managers to quickly visualize a supply chain, map out the propagation path of disruptive events from the supply side to the end customer and understand potential weaknesses in the supply chain design; taking into account the structure, connectivity, and dependence within the supply chain. The approach incorporates a Petri net and Triangularization Clustering Algorithm to offer insights into a supply chain network's vulnerabilities and can be used to efficiently assess supply chain disruption mitigation strategies, especially in complex and difficulty to analyze supply chain systems.