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Controlling Inventories in Divergent Supply Chains with Advance-Order Information

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  • Johan Marklund

    (Department of Industrial Management and Logistics, Lund University, P.O. Box 118, SE-221 00 Lund, Sweden)

Abstract

This paper considers a generic one-warehouse multiple-retailer inventory system under continuous review, where customers provide perfect advance-order information. More specifically, each customer order entails a due date specifying when the customer wants the item delivered. The information is perfect in the sense that a placed order cannot be revised. With the intent of using the advance-order information fully throughout the supply chain, each installation replenishes its stock using order base-stock policies (see Hariharan and Zipkin 1995). As for stock allocation, the presence of advance-order information at the central warehouse raises important questions regarding when reservations should be made for different retailers, i.e., how to make best use of the available temporal information to allocate items to retailers. Exact and approximate cost evaluation techniques are presented for the general case, the general reservation policy , as well as for the two special cases of reserving as early as possible, the complete reservation policy , and as late as possible, the last-minute allocation policy . A numerical study illustrates the performance of the proposed heuristics and provides insights on the value of using advance-order information in supply chain inventory control.

Suggested Citation

  • Johan Marklund, 2006. "Controlling Inventories in Divergent Supply Chains with Advance-Order Information," Operations Research, INFORMS, vol. 54(5), pages 988-1010, October.
  • Handle: RePEc:inm:oropre:v:54:y:2006:i:5:p:988-1010
    DOI: 10.1287/opre.1060.0319
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    References listed on IDEAS

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    Cited by:

    1. de Kok, Ton & Grob, Christopher & Laumanns, Marco & Minner, Stefan & Rambau, Jörg & Schade, Konrad, 2018. "A typology and literature review on stochastic multi-echelon inventory models," European Journal of Operational Research, Elsevier, vol. 269(3), pages 955-983.
    2. Howard, Christian & Marklund, Johan, 2011. "Evaluation of stock allocation policies in a divergent inventory system with shipment consolidation," European Journal of Operational Research, Elsevier, vol. 211(2), pages 298-309, June.
    3. Van Foreest, Nicky D. & Teunter, Ruud H. & Syntetos, Aris A., 2018. "Base-stock policies with reservations," Omega, Elsevier, vol. 81(C), pages 48-56.
    4. 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.
    5. Du, Bisheng & Larsen, Christian, 2017. "Reservation policies of advance orders in the presence of multiple demand classes," European Journal of Operational Research, Elsevier, vol. 256(2), pages 430-438.
    6. Felix Papier & Ulrich W. Thonemann, 2010. "Capacity Rationing in Stochastic Rental Systems with Advance Demand Information," Operations Research, INFORMS, vol. 58(2), pages 274-288, April.
    7. Christoph Rippe & Gudrun P. Kiesmüller, 2023. "The added value of advance demand information for the planning of a repair kit," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 311-335, March.
    8. Huang, Shuo & Axsäter, Sven & Dou, Yifan & Chen, Jian, 2011. "A real-time decision rule for an inventory system with committed service time and emergency orders," European Journal of Operational Research, Elsevier, vol. 215(1), pages 70-79, November.
    9. Olof Stenius & Ayşe Gönül Karaarslan & Johan Marklund & A. G. de Kok, 2016. "Exact Analysis of Divergent Inventory Systems with Time-Based Shipment Consolidation and Compound Poisson Demand," Operations Research, INFORMS, vol. 64(4), pages 906-921, August.
    10. 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.
    11. Tang, Dong, 2011. "Managing finished-goods inventory under capacitated delayed differentiation," Omega, Elsevier, vol. 39(5), pages 481-492, October.
    12. Johan Marklund, 2011. "Inventory control in divergent supply chains with time‐based dispatching and shipment consolidation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(1), pages 59-71, February.
    13. Andersson, Jonas & Malmberg, Filip & Marklund, Johan, 2023. "Exact analysis of One-Warehouse-Multiple-Retailer inventory systems with quantity restricted deliveries," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1161-1172.
    14. Du, Bisheng & Larsen, Christian, 2011. "Base stock policies with degraded service to larger orders," International Journal of Production Economics, Elsevier, vol. 133(1), pages 326-333, September.
    15. Alexandar Angelus & Özalp Özer, 2016. "Knowledge You Can Act on: Optimal Policies for Assembly Systems with Expediting and Advance Demand Information," Operations Research, INFORMS, vol. 64(6), pages 1338-1371, December.
    16. Stenius, Olof & Marklund, Johan & Axsäter, Sven, 2018. "Sustainable multi-echelon inventory control with shipment consolidation and volume dependent freight costs," European Journal of Operational Research, Elsevier, vol. 267(3), pages 904-916.
    17. Du, Bisheng & Larsen, Christian, 2008. "Base stock policies with degraded service to larger orders," CORAL Working Papers L-2008-07, University of Aarhus, Aarhus School of Business, Department of Business Studies.

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