Campus Units

Supply Chain and Information Systems

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

11-3-2017

Journal or Book Title

Journal of Purchasing and Supply Management

Volume

24

Issue

1

First Page

21

Last Page

30

DOI

10.1016/j.pursup.2017.10.004

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.

Comments

This article is published as Blackhurst, J., Rungtusanatham, M.J., Scheibe, K.P., Ambulkar, S., Supply chain vulnerability assessment: A network based visualization and clustering analysis approach. Journal of Purchasing and Supply Management, Nov 3 2017, 24(1); 21-30. DOI: 10.1016/j.pursup.2017.10.004. Posted with permission.

Copyright Owner

Elsevier Ltd

Language

en

File Format

application/pdf

Published Version

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