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The Periodic Joint Replenishment Problem Is Strongly š¯’©š¯’«-Hard

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  • Tamar Cohen-Hillel

    (Operations Research Center, Massachusetts Institute of Technologyā€“Hillel, Cambridge, Massachusetts 02139)

  • Liron Yedidsion

    (Faculty of Industrial Engineering and Management, Technionā€“Israel Institute of Technology, Haifa 3200003, Israel)

Abstract

In this paper, we study the long-standing open question regarding the computational complexity of one of the core problems in supply chains management, the periodic joint replenishment problem. This problem has received a lot of attention over the years, and many heuristic and approximation algorithms have been suggested. However, in spite of the vast effort, the complexity of the problem remains unresolved. In this paper, we provide a proof that the problem is indeed strongly š¯’©š¯’«-hard.

Suggested Citation

  • Tamar Cohen-Hillel & Liron Yedidsion, 2018. "The Periodic Joint Replenishment Problem Is Strongly š¯’©š¯’«-Hard," Mathematics of Operations Research, INFORMS, vol. 43(4), pages 1269-1289, November.
    • Handle: RePEc:inm:ormoor:v:43:y:2018:i:4:p:1269-1289
    DOI: 10.1287/moor.2017.0904
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    Cited by:

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    3. Park, Hyungjun & Choi, Dong Gu & Min, Daiki, 2023. "Adaptive inventory replenishment using structured reinforcement learning by exploiting a policy structure," International Journal of Production Economics, Elsevier, vol. 266(C).

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