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An intuitive approach to inventory control with optimal stopping

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  • Van Foreest, Nicky D.
  • Kilic, Onur A.

Abstract

In this research note, we show that a simple application of Breiman’s work on optimal stopping in 1964 leads to an elementary proof that (s,S) policies minimize the long-run average cost for periodic-review inventory control problems. The method of proof is appealing as it only depends on the fundamental concepts of renewal-reward processes, optimal stopping, dynamic programming, and root-finding. Moreover, it leads to an efficient algorithm to compute the optimal policy parameters. If Breiman’s paper would have received the attention it deserved, computational methods dealing with (s,S)-policies would have been found about three decades earlier than the famous algorithm of Zheng and Federgruen (1991).

Suggested Citation

  • Van Foreest, Nicky D. & Kilic, Onur A., 2023. "An intuitive approach to inventory control with optimal stopping," European Journal of Operational Research, Elsevier, vol. 311(3), pages 921-924.
  • Handle: RePEc:eee:ejores:v:311:y:2023:i:3:p:921-924
    DOI: 10.1016/j.ejor.2023.05.035
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    References listed on IDEAS

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    1. Peter Berling & Victor Martínez-de-Albéniz, 2011. "Optimal Inventory Policies when Purchase Price and Demand Are Stochastic," Operations Research, INFORMS, vol. 59(1), pages 109-124, February.
    2. Youyi Feng & Youhua (Frank) Chen, 2011. "TECHNICAL NOTE---A Computational Approach for Optimal Joint Inventory-Pricing Control in an Infinite-Horizon Periodic-Review System," Operations Research, INFORMS, vol. 59(5), pages 1297-1303, October.
    3. Arthur F. Veinott, Jr. & Harvey M. Wagner, 1965. "Computing Optimal (s, S) Inventory Policies," Management Science, INFORMS, vol. 11(5), pages 525-552, March.
    4. J. B. G. Frenk & Sonya Javadi & Semih O. Sezer, 2019. "An optimal stopping approach for the end-of-life inventory problem," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 90(3), pages 329-363, December.
    5. D. Beyer & S. P. Sethi, 1999. "The Classical Average-Cost Inventory Models of Iglehart and Veinott–Wagner Revisited," Journal of Optimization Theory and Applications, Springer, vol. 101(3), pages 523-555, June.
    6. Ozyoruk, Emin & Erkip, Nesim Kohen & Ararat, Çağın, 2022. "End-of-life inventory management problem: Results and insights," International Journal of Production Economics, Elsevier, vol. 243(C).
    7. Yu-Sheng Zheng & A. Federgruen, 1991. "Finding Optimal (s, S) Policies Is About As Simple As Evaluating a Single Policy," Operations Research, INFORMS, vol. 39(4), pages 654-665, August.
    8. Sechan Oh & Özalp Özer, 2016. "Characterizing the Structure of Optimal Stopping Policies," Production and Operations Management, Production and Operations Management Society, vol. 25(11), pages 1820-1838, November.
    9. Howard J. Weiss, 1980. "Optimal Ordering Policies for Continuous Review Perishable Inventory Models," Operations Research, INFORMS, vol. 28(2), pages 365-374, April.
    10. Dirk Beyer & Feng Cheng & Suresh P. Sethi & Michael Taksar, 2010. "Markovian Demand Inventory Models," International Series in Operations Research and Management Science, Springer, number 978-0-387-71604-6, September.
    11. Nicky D. Van Foreest & Jacob Wijngaard, 2014. "On Optimal Policies for Production-Inventory Systems with Compound Poisson Demand and Setup Costs," Mathematics of Operations Research, INFORMS, vol. 39(2), pages 517-532, May.
    12. Shi, Zhenyang & Liu, Shaoxuan, 2020. "Optimal inventory control and design refresh selection in managing part obsolescence," European Journal of Operational Research, Elsevier, vol. 287(1), pages 133-144.
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