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Supply Chain Disruption Management Using Stochastic Mixed Integer Programming

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  • Tadeusz Sawik

    (AGH University of Science and Technology)

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Suggested Citation

  • Tadeusz Sawik, 2018. "Supply Chain Disruption Management Using Stochastic Mixed Integer Programming," International Series in Operations Research and Management Science, Springer, number 978-3-319-58823-0, March.
    • Handle: RePEc:spr:isorms:978-3-319-58823-0
    DOI: 10.1007/978-3-319-58823-0
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    Cited by:

    1. Sawik, Tadeusz, 2021. "On the risk-averse selection of resilient multi-tier supply portfolio," Omega, Elsevier, vol. 101(C).
    2. Kanokporn Kungwalsong & Chen-Yang Cheng & Chumpol Yuangyai & Udom Janjarassuk, 2021. "Two-Stage Stochastic Program for Supply Chain Network Design under Facility Disruptions," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    3. Sawik, Tadeusz, 2019. "Disruption mitigation and recovery in supply chains using portfolio approach," Omega, Elsevier, vol. 84(C), pages 232-248.
    4. Aspasia Koutsokosta & Stefanos Katsavounis, 2024. "Stochastic transitions of a mixed-integer linear programming model for the construction supply chain: chance-constrained programming and two-stage programming," Operational Research, Springer, vol. 24(3), pages 1-57, September.
    5. Cheng, Chun & Qi, Mingyao & Zhang, Ying & Rousseau, Louis-Martin, 2018. "A two-stage robust approach for the reliable logistics network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 185-202.

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