Using Scheduled Ordering to Improve the Performance of Distribution Supply Chains
We study a supply chain with one supplier and many retailers that face exogenous end-customer demands. The supplier and the retailers all try to minimize their own inventory-related costs. In contrast to the retailers' newsvendor-type ordering behavior (under which retailers may place orders freely in every period), we propose two scheduled ordering policies: the scheduled balanced ordering policy (SBOP) and the scheduled synchronized ordering policy (SSOP). Under both the SBOP and SSOP, retailers are allowed to order freely only in one period of an ordering cycle, and receive fixed shipments in other periods. Retailers take turns to order freely under the SBOP, while under the SSOP all retailers order freely in the same period. With the average supply chain cost per period as the performance measure, we identify mathematical conditions under which scheduled ordering policies outperform the newsvendor-type ordering. Through a large-scale numerical study, we find that scheduled ordering policies are most effective when (i) the supplier's holding and expediting costs are high and the retailer's backorder cost is small, (ii) the end-customer demand variance and correlation are high, and (iii) the supplier's capacity is high. In addition, we observe that the behavior of the SSOP often complements that of the SBOP. Whereas the SBOP is better than SSOP when the supplier's capacity is low and when the end-customer demand correlation level is high, the SSOP is better when the opposite conditions prevail.
Volume (Year): 56 (2010)
Issue (Month): 9 (September)
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- Yossi Aviv, 2007. "On the Benefits of Collaborative Forecasting Partnerships Between Retailers and Manufacturers," Management Science, INFORMS, vol. 53(5), pages 777-794, May.
- Stephen C. Graves, 1996. "A Multiechelon Inventory Model with Fixed Replenishment Intervals," Management Science, INFORMS, vol. 42(1), pages 1-18, January.
- Fangruo Chen & Awi Federgruen & Yu-Sheng Zheng, 2001. "Coordination Mechanisms for a Distribution System with One Supplier and Multiple Retailers," Management Science, INFORMS, vol. 47(5), pages 693-708, May.
- Leroy B. Schwarz, 1973. "A Simple Continuous Review Deterministic One-Warehouse N-Retailer Inventory Problem," Management Science, INFORMS, vol. 19(5), pages 555-566, January.
- Gregory A. DeCroix & Paul H. Zipkin, 2005. "Inventory Management for an Assembly System with Product or Component Returns," Management Science, INFORMS, vol. 51(8), pages 1250-1265, August.
- Awi Federgruen & Paul Zipkin, 1984. "Approximations of Dynamic, Multilocation Production and Inventory Problems," Management Science, INFORMS, vol. 30(1), pages 69-84, January.
- Gérard P. Cachon, 1999. "Managing Supply Chain Demand Variability with Scheduled Ordering Policies," Management Science, INFORMS, vol. 45(6), pages 843-856, June.
- Srinagesh Gavirneni & Roman Kapuscinski & Sridhar Tayur, 1999. "Value of Information in Capacitated Supply Chains," Management Science, INFORMS, vol. 45(1), pages 16-24, January.
- Andrew J. Clark & Herbert Scarf, 2004.
"Optimal Policies for a Multi-Echelon Inventory Problem,"
INFORMS, vol. 50(12_supple), pages 1782-1790, December.
- Andrew J. Clark & Herbert Scarf, 1960. "Optimal Policies for a Multi-Echelon Inventory Problem," Management Science, INFORMS, vol. 6(4), pages 475-490, July.
- Jun Zhang, 2005. "Transshipment and Its Impact on Supply Chain Members' Performance," Management Science, INFORMS, vol. 51(10), pages 1534-1539, October.
- Gérard P. Cachon & Martin A. Lariviere, 1999. "Capacity Choice and Allocation: Strategic Behavior and Supply Chain Performance," Management Science, INFORMS, vol. 45(8), pages 1091-1108, August.
- A. A. Tsay & W. S. Lovejoy, 1999. "Quantity Flexibility Contracts and Supply Chain Performance," Manufacturing & Service Operations Management, INFORMS, vol. 1(2), pages 89-111.
- Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
- Paul Glasserman & Sridhar Tayur, 1995. "Sensitivity Analysis for Base-Stock Levels in Multiechelon Production-Inventory Systems," Management Science, INFORMS, vol. 41(2), pages 263-281, February.
- Gurnani, Haresh, 2001. "A study of quantity discount pricing models with different ordering structures: Order coordination, order consolidation, and multi-tier ordering hierarchy," International Journal of Production Economics, Elsevier, vol. 72(3), pages 203-225, August.
- Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
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