Campus Units

Supply Chain and Information Systems

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

4-2018

Journal or Book Title

IEEE Transactions on Engineering Management

Volume

99

First Page

1

Last Page

13

DOI

10.1109/TEM.2018.2808331

Abstract

This paper focuses on understanding the robustness of a supply network in the face of a disruption. We propose a decision support system for analyzing the robustness of supply chain networks against disruptions using topological analysis, performance measurement relevant to a supply chain context and an optimization for increasing supply network performance. The topology of a supply chain network has considerable implications for its robustness in the presence of disruptions. The system allows decision makers to evaluate topologies of their supply chain networks in a variety of disruption scenarios, thereby proactively managing the supply chain network to understand vulnerabilities of the network before a disruption occurs. Our system calculates performance measurements for a supply chain network in the face of disruptions and provides both topological metrics (through network analysis) and operational metrics (through an optimization model). Through an example application, we evaluate the impact of random and targeted disruptions on the robustness of a supply chain network.

Comments

This article is published as Zhao,K., Scheibe,K.P., Blackhurst, J., Kumar, A.; Supply Chain Network Robustness Against Disruptions: Topological Analysis, Measurement, and Optimization. IEEE transactions on Engineering Management. April 2018, 99; 1-13. DOI: 10.1109/TEM.2018.2808331. Posted with permission.

Copyright Owner

IEEE

Language

en

File Format

application/pdf

Available for download on Monday, April 01, 2019

Published Version

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