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EOQ Models with Supply Disruptions

In: Handbook of EOQ Inventory Problems

Author

Listed:
  • Zümbül Atan

    (Eindhoven University of Technology)

  • Lawrence V. Snyder

    (Lehigh University)

Abstract

Most of the early research in inventory theory concentrates purely on demand uncertainty. However, models which aim to capture the dynamics of real-world systems must also take uncertainties in the supply side into consideration. One type of supply uncertainty that has attracted considerable attention during the past decade is supply disruptions, such as those that arise as a result of customs delays, labor strikes, and natural disasters. Over the past several years, companies have developed many strategies to mitigate the effects of such disruptions. One strategy is to hold more inventory with the additional amount serving as a buffer against disruptions. Since it is among the most basic inventory models, the EOQ model features prominently in the earliest work on disruptions, as well as many subsequent models. This chapter summarizes the studies on EOQ models with supply disruptions.

Suggested Citation

  • Zümbül Atan & Lawrence V. Snyder, 2014. "EOQ Models with Supply Disruptions," International Series in Operations Research & Management Science, in: Tsan-Ming Choi (ed.), Handbook of EOQ Inventory Problems, edition 127, pages 43-55, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-7639-9_3
    DOI: 10.1007/978-1-4614-7639-9_3
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    Cited by:

    1. Mostafa Parsa & Ali Shahandeh Nookabadi & Zümbül Atan & Yaser Malekian, 2022. "An optimal inventory policy for a multi-echelon closed-loop supply chain of postconsumer recycled content products," Operational Research, Springer, vol. 22(3), pages 1887-1938, July.
    2. Bakal, İsmail Serdar & Bayındır, Z. Pelin & Emer, Deniz Esin, 2017. "Value of disruption information in an EOQ environment," European Journal of Operational Research, Elsevier, vol. 263(2), pages 446-460.
    3. Taher Ahmadi & Zümbül Atan & Ton Kok & Ivo Adan, 2020. "Time-based service constraints for inventory systems with commitment lead time," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 355-395, June.

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