Modeling of supply chain risk under disruptions with performance measurement and robustness analysis

Qiang Qiang, Anna Nagurney, June Dong

Research output: Chapter in Book/Report/Conference proceedingChapter

45 Scopus citations


In this chapter, we develop a new supply chain network model with multiple decision-makers associated at different tiers and with multiple transportation modes for shipment of the good between tiers. The model formulation captures supply-side risk as well as demand-side risk, along with uncertainty in transportation and other costs. The model also incorporates the individual attitudes towards disruption risks among the manufacturers and the retailers, with the demands for the product associated with the retailers being random. We present the behavior of the various decision-makers, derive the governing equilibrium conditions, and establish the finite-dimensional variational inequality formulation. We also propose a weighted supply chain performance and robustness measure based on our recently derived network performance/efficiency measure and provide supply chain examples for which the equilibrium solutions are determined along with the robustness analyses. This chapter extends previous supply chain research by capturing supplyside disruption risks, transportation and other cost risks, and demand-side uncertainty within an integrated modeling and robustness analysis framework.

Original languageEnglish (US)
Title of host publicationManaging Supply Chain Risk and Vulnerability
Subtitle of host publicationTools and Methods for Supply Chain Decision Makers
PublisherSpringer London
Number of pages21
ISBN (Print)9781848826335
StatePublished - 2009

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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