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Selection of Resilient Supply Portfolio

In: Supply Chain Disruption Management Using Stochastic Mixed Integer Programming

Author

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  • Tadeusz Sawik

    (AGH University of Science and Technology)

Abstract

In this chapter, the portfolio approach and SMIP models presented in Chap. 2 are enhanced for the combined selection and protection of part suppliers and order quantity allocation in a supply chain with disruption risks.

Suggested Citation

  • Tadeusz Sawik, 2018. "Selection of Resilient Supply Portfolio," International Series in Operations Research & Management Science, in: Supply Chain Disruption Management Using Stochastic Mixed Integer Programming, chapter 0, pages 69-100, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-58823-0_4
    DOI: 10.1007/978-3-319-58823-0_4
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    Cited by:

    1. Morteza Yazdani & Dragan Pamucar & Prasenjit Chatterjee & Ali Ebadi Torkayesh, 2022. "“A multi-tier sustainable food supplier selection model under uncertainty”," Operations Management Research, Springer, vol. 15(1), pages 116-145, June.
    2. Li, Yi & Shou, Biying, 2021. "Managing supply risk: Robust procurement strategy for capacity improvement," Omega, Elsevier, vol. 102(C).
    3. Aida Rezaei & Amir Aghsami & Masoud Rabbani, 2021. "Supplier selection and order allocation model with disruption and environmental risks in centralized supply chain," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1036-1072, December.
    4. Liu, Ming & Liu, Zhongzheng & Chu, Feng & Dolgui, Alexandre & Chu, Chengbin & Zheng, Feifeng, 2022. "An optimization approach for multi-echelon supply chain viability with disruption risk minimization," Omega, Elsevier, vol. 112(C).
    5. Ivanov, Dmitry & Keskin, Burcu B., 2023. "Post-pandemic adaptation and development of supply chain viability theory," Omega, Elsevier, vol. 116(C).
    6. Sawik, Tadeusz, 2022. "Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study," Omega, Elsevier, vol. 109(C).

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