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Risk Models for Supply Chain Management

In: Managing Supply Chain Risk

Author

Listed:
  • ManMohan S. Sodhi

    (City University)

  • Christopher S. Tang

    (University of California, Los Angeles)

Abstract

This chapter reviews quantitative models that deal with supply chain risks. While this review is not exhaustive, it provides indicative research literature and quantitative models proposed by supply-chain management researchers. Because most quantitative models in the literature are designed primarily for managing high-frequency-low-impact operational risks, we present potential research ideas for managing low-frequency-high-impact disruption risks.

Suggested Citation

  • ManMohan S. Sodhi & Christopher S. Tang, 2012. "Risk Models for Supply Chain Management," International Series in Operations Research & Management Science, in: Managing Supply Chain Risk, edition 127, chapter 0, pages 195-240, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-3238-8_13
    DOI: 10.1007/978-1-4614-3238-8_13
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    Cited by:

    1. Rahul Sawant & Anish Kumar & Vineet Kumar Yadav, 2024. "Modelling medical oxygen supply chain network under demand uncertainty using stochastic programming," OPSEARCH, Springer;Operational Research Society of India, vol. 61(4), pages 2158-2190, December.
    2. Liu, Ming & Lin, Tao & Chu, Feng & Ding, Yueyu & Zheng, Feifeng & Chu, Chengbin, 2023. "Bi-objective optimization for supply chain ripple effect management under disruption risks with supplier actions," International Journal of Production Economics, Elsevier, vol. 265(C).

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