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Infinite Horizon Strategies for Replenishment Systems with a General Pool of Suppliers

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  • Awi Federgruen

    (Graduate School of Business, Columbia University, New York, New York 10027)

  • Nan Yang

    (Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130)

Abstract

We consider a general infinite horizon inventory control model that combines demand and supply risks and the firm's ability to mitigate the supply risks by diversifying its procurement orders among a set of N potential suppliers. Supply risks arise because only a random percentage of any given replenishment order is delivered as useable units. The suppliers are characterized by the price they charge and the distribution of their yield factor. Assuming unsatisfied demand is backlogged, the firm incurs, as in standard inventory models, three types of costs: (i) procurement costs, (ii) inventory carrying costs for units carried over from one period to the next, and (iii) backlogging costs. We establish the existence of an optimal stationary policy, under both the long-run discounted and average cost criteria, and characterize its structure. Assuming each period's inventory level distribution can be approximated as a normal, we develop an efficient solution method identifying additional structural properties. Finally, we identify a simple class of heuristic policies that come close to being optimal.

Suggested Citation

  • Awi Federgruen & Nan Yang, 2014. "Infinite Horizon Strategies for Replenishment Systems with a General Pool of Suppliers," Operations Research, INFORMS, vol. 62(1), pages 141-159, February.
  • Handle: RePEc:inm:oropre:v:62:y:2014:i:1:p:141-159
    DOI: 10.1287/opre.2013.1237
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    References listed on IDEAS

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    2. Thevenin, Simon & Ben-Ammar, Oussama & Brahimi, Nadjib, 2022. "Robust optimization approaches for purchase planning with supplier selection under lead time uncertainty," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1199-1215.
    3. Pan, Wenting & So, Kut C. & Xiao, Guang, 2022. "Benefits of backup sourcing for components in assembly systems under supply uncertainty," European Journal of Operational Research, Elsevier, vol. 302(1), pages 158-171.
    4. Panos Kouvelis & Guang Xiao & Nan Yang, 2021. "Role of Risk Aversion in Price Postponement Under Supply Random Yield," Management Science, INFORMS, vol. 67(8), pages 4826-4844, August.
    5. Gao, Long, 2015. "Collaborative forecasting, inventory hedging and contract coordination in dynamic supply risk management," European Journal of Operational Research, Elsevier, vol. 245(1), pages 133-145.
    6. Xue, Weili & Choi, Tsan-Ming & Ma, Lijun, 2016. "Diversification strategy with random yield suppliers for a mean–variance risk-sensitive manufacturer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 90-107.
    7. Jie Xiang & Juliang Zhang & T. C. E. Cheng & Jose Maria Sallan & Guowei Hua, 2019. "Efficient Multi-Attribute Auctions Considering Supply Disruption," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(03), pages 1-28, June.
    8. Lingxiu Dong & Guang Xiao & Nan Yang, 2023. "Supply diversification under random yield: The impact of price postponement," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1112-1132, April.

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