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The discrete-time EOQ model: Solution and implications

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  • Lagodimos, A.G.
  • Skouri, K.
  • Christou, I.T.
  • Chountalas, P.T.

Abstract

Consideration is given to the classical EOQ (with backorders) model, where one of its original assumptions is modified. Instead of being continuous, time forms a sequence of indivisible quanta (unit periods). The implications of this assumption, common in the analysis of periodic review policies, are explored for deterministic demand. Modeled as an inventory system under the (S, T) policy, long-run average cost is derived, and it is shown that optimal control involves the solution of a two-dimensional non-convex integer optimization problem. Properties are established, leading to a solution algorithm which guarantees optimal S and T determination with (at most) three cost-function evaluations. It is shown that, contrary to intuition, the classical EOQ optimal cost is not a lower bound for the system studied. This is exploited to develop distribution-free lower bounds for stochastic periodic review systems together with properties rendering them useful in inventory optimization.

Suggested Citation

  • Lagodimos, A.G. & Skouri, K. & Christou, I.T. & Chountalas, P.T., 2018. "The discrete-time EOQ model: Solution and implications," European Journal of Operational Research, Elsevier, vol. 266(1), pages 112-121.
    • Handle: RePEc:eee:ejores:v:266:y:2018:i:1:p:112-121
    DOI: 10.1016/j.ejor.2017.09.018
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    References listed on IDEAS

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    Cited by:

    1. Li, Ruihai & Yang, Hui-Ling & Shi, Yan & Teng, Jinn-Tsair & Lai, Kuei-Kuei, 2021. "EOQ-based pricing and customer credit decisions under general supplier payments," European Journal of Operational Research, Elsevier, vol. 289(2), pages 652-665.
    2. Konstantaras, I. & Skouri, K. & Lagodimos, A.G., 2019. "EOQ with independent endogenous supply disruptions," Omega, Elsevier, vol. 83(C), pages 96-106.
    3. Debopriya Dey & Samarjit Kar & Dilip Kumar Bhattacharya, 2024. "Periodic review policy in the production management of a single-item inventory with deterioration," Operational Research, Springer, vol. 24(2), pages 1-25, June.

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