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The Value of Advance Demand Information in Production/Inventory Systems

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  • Fikri Karaesmen
  • George Liberopoulos
  • Yves Dallery

Abstract

Advance demand information, when used effectively, improves the performance of production/inventory systems. In this paper, we investigate the value of advance demand information in production/inventory systems. For a single-stage make-to-stock queue, we assess the value of using advance demand information under a variety of assumptions on the cost of obtaining advance demand information, and the delivery timing requirements. This analysis enables us to identify conditions under which advance demand information may bring significant benefits. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Fikri Karaesmen & George Liberopoulos & Yves Dallery, 2004. "The Value of Advance Demand Information in Production/Inventory Systems," Annals of Operations Research, Springer, vol. 126(1), pages 135-157, February.
    • Handle: RePEc:spr:annopr:v:126:y:2004:i:1:p:135-157:10.1023/b:anor.0000012278.41301.24
    DOI: 10.1023/B:ANOR.0000012278.41301.24
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    Citations

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    Cited by:

    1. Liberopoulos, George, 2008. "On the tradeoff between optimal order-base-stock levels and demand lead-times," European Journal of Operational Research, Elsevier, vol. 190(1), pages 136-155, October.
    2. Feng, Haofang & Zhang, Sheng Hao & Zhang, Yong, 2023. "Managing production-inventory-maintenance systems with condition monitoring," European Journal of Operational Research, Elsevier, vol. 310(2), pages 698-711.
    3. David Winkelmann & Charlotte Kohler, 2024. "Subscription-Based Inventory Planning for E-Grocery Retailing," Papers 2404.04097, arXiv.org.
    4. Alım, Muzaffer & Beullens, Patrick, 2022. "Improving inventory system performance by selective purchasing of buyers’ willingness to wait," European Journal of Operational Research, Elsevier, vol. 300(1), pages 124-136.
    5. Taher Ahmadi & Zümbül Atan & Ton de Kok & Ivo Adan, 2019. "Optimal control policies for an inventory system with commitment lead time," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(3), pages 193-212, April.
    6. Jana Ralfs & Gudrun P. Kiesmüller, 2022. "Inventory management with advance demand information and flexible shipment consolidation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1009-1044, December.
    7. Sener, Abdurrezzak & Barut, Mehmet & Oztekin, Asil & Avcilar, Mutlu Yuksel & Yildirim, Mehmet Bayram, 2019. "The role of information usage in a retail supply chain: A causal data mining and analytical modeling approach," Journal of Business Research, Elsevier, vol. 99(C), pages 87-104.
    8. Abdurrezzak Sener & Mehmet Barut & Ali Dag & Mehmet Bayram Yildirim, 2021. "Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach," Annals of Operations Research, Springer, vol. 303(1), pages 125-158, August.
    9. İsmail Bakal & Nesim Erkip & Refik Güllü, 2011. "Value of supplier’s capacity information in a two-echelon supply chain," Annals of Operations Research, Springer, vol. 191(1), pages 115-135, November.
    10. Siawsolit, Chokdee & Gaukler, Gary M., 2021. "Offsetting omnichannel grocery fulfillment cost through advance ordering of perishables," International Journal of Production Economics, Elsevier, vol. 239(C).
    11. Taher Ahmadi & Zümbül Atan & Ton Kok & Ivo Adan, 2020. "Time-based service constraints for inventory systems with commitment lead time," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 355-395, June.
    12. Baruah, Pundarikaksha & Chinnam, Ratna Babu & Korostelev, Alexander & Dalkiran, Evrim, 2016. "Optimal soft-order revisions under demand and supply uncertainty and upstream information," International Journal of Production Economics, Elsevier, vol. 182(C), pages 14-25.
    13. Khayyati, Siamak & Tan, Barış, 2020. "Data-driven control of a production system by using marking-dependent threshold policy," International Journal of Production Economics, Elsevier, vol. 226(C).
    14. Kogan, Konstantin & Herbon, Avi, 2008. "Production under periodic demand update prior to a single selling season: A decomposition approach," European Journal of Operational Research, Elsevier, vol. 184(1), pages 133-146, January.
    15. Kraig Delana & Nicos Savva & Tolga Tezcan, 2021. "Proactive Customer Service: Operational Benefits and Economic Frictions," Manufacturing & Service Operations Management, INFORMS, vol. 23(1), pages 70-87, 1-2.

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