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Newsvendor problems with sequentially revealed demand information

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  • Jing‐Sheng Song
  • Paul H. Zipkin

Abstract

This article analyzes a capacity/inventory planning problem with a one‐time uncertain demand. There is a long procurement leadtime, but as some partial demand information is revealed, the firm is allowed to cancel some of the original capacity reservation at a certain fee or sell off some inventory at a lower price. The problem can be viewed as a generalization of the classic newsvendor problem and can be found in many applications. One key observation of the analysis is that the dynamic programming formulation of the problem is closely related to a recursion that arises in the study of a far more complex system, a series inventory system with stochastic demand over an infinite horizon. Using this equivalence, we characterize the optimal policy and assess the value of the additional demand information. We also extend the analysis to a richer model of information. Here, demand is driven by an underlying Markov process, representing economic conditions, weather, market competition, and other environmental factors. Interestingly, under this more general model, the connection to the series inventory system is different. © 2012 Wiley Periodicals, Inc. Naval Research Logistics 2012

Suggested Citation

  • Jing‐Sheng Song & Paul H. Zipkin, 2012. "Newsvendor problems with sequentially revealed demand information," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(8), pages 601-612, December.
    • Handle: RePEc:wly:navres:v:59:y:2012:i:8:p:601-612
    DOI: 10.1002/nav.21509
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    References listed on IDEAS

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    Cited by:

    1. Işık Biçer, & Florian Lücker, & Tamer Boyaci,, 2019. "Beyond retail stores: Managing product proliferation along the supply chain," ESMT Research Working Papers ESMT-19-02_R2, ESMT European School of Management and Technology, revised 16 Mar 2021.
    2. Işık Biçer & Florian Lücker & Tamer Boyacı, 2022. "Beyond Retail Stores: Managing Product Proliferation along the Supply Chain," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1135-1156, March.
    3. Işık Biçer, & Florian Lücker, & Tamer Boyaci,, 2019. "Beyond retail stores: Managing product proliferation along the supply chain," ESMT Research Working Papers ESMT-19-02, ESMT European School of Management and Technology.
    4. Man Yu & Roman Kapuscinski & Hyun-Soo Ahn, 2015. "Advance Selling: Effects of Interdependent Consumer Valuations and Seller’s Capacity," Management Science, INFORMS, vol. 61(9), pages 2100-2117, September.
    5. Jochen Schlapp & Moritz Fleischmann & Danja Sonntag, 2022. "Inventory timing: How to serve a stochastic season," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2891-2906, July.
    6. Işık Biçer & Florian Lücker & Tamer Boyaci, 2019. "Beyond retail stores: Managing product proliferation along the supply chain," ESMT Research Working Papers ESMT-19-02_R1, ESMT European School of Management and Technology, revised 10 Feb 2020.
    7. Eduard Calvo & Victor Martínez-de-Albéniz, 2016. "Sourcing Strategies and Supplier Incentives for Short-Life-Cycle Goods," Management Science, INFORMS, vol. 62(2), pages 436-455, February.
    8. Felix Papier, 2016. "Supply Allocation Under Sequential Advance Demand Information," Operations Research, INFORMS, vol. 64(2), pages 341-361, April.
    9. Işık Biçer, & Florian Lücker, & Tamer Boyaci,, 2019. "Beyond retail stores: Managing product proliferation along the supply chain," ESMT Research Working Papers ESMT-19-02_R3, ESMT European School of Management and Technology, revised 16 Sep 2021.

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