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Effects of joint replenishment and channel coordination for managing multiple deteriorating products in a supply chain

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  • J-M Chen

    (National Central University)

  • T-H Chen

    (National Central University)

Abstract

This paper deals with an area of emerging research: managing a multi-product and multi-echelon supply chain, which produces, distributes, and sells deteriorating goods in the marketplace. Conventional wisdom suggests that channel coordination and workflow collaboration, between upstream and downstream entities, are promising mechanisms to achieve a cost-effective supply chain. In a multi-product situation, greater savings can be realized by coordinating the replenishment of various items in a distribution channel. This is due, in large part, to the fact that various cost components, such as setup and transportation costs, are often jointly incurred between several distinct items. This paper attempts to integrate the three streams of, as yet, rather disjointed research works: namely joint replenishment programmes; channel coordination; and deteriorating goods management. Under a structured framework, four cost models were developed, with key assumptions related to time-proportional demand and exponentially decaying deterioration rates. These models, representing various replenishment and production policies, offer qualitative insights into the interplay between channel coordination and joint replenishment mechanisms.

Suggested Citation

  • J-M Chen & T-H Chen, 2005. "Effects of joint replenishment and channel coordination for managing multiple deteriorating products in a supply chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1224-1234, October.
  • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:10:d:10.1057_palgrave.jors.2601921
    DOI: 10.1057/palgrave.jors.2601921
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    References listed on IDEAS

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    1. Moon, Ilkyeong & Lee, Suyeon, 2000. "The effects of inflation and time-value of money on an economic order quantity model with a random product life cycle," European Journal of Operational Research, Elsevier, vol. 125(3), pages 588-601, September.
    2. J-T Teng & H-L Yang & L-Y Ouyang, 2003. "On an EOQ model for deteriorating items with time-varying demand and partial backlogging," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(4), pages 432-436, April.
    3. Awi Federgruen & Michal Tzur, 1994. "The Joint Replenishment Problem with Time-Varying Costs and Demands: Efficient, Asymptotic and ε-Optimal Solutions," Operations Research, INFORMS, vol. 42(6), pages 1067-1086, December.
    4. Viswanathan, S. & Piplani, Rajesh, 2001. "Coordinating supply chain inventories through common replenishment epochs," European Journal of Operational Research, Elsevier, vol. 129(2), pages 277-286, March.
    5. Rempala, Ryszarda, 2003. "Joint replenishment multiproduct inventory problem with continuous production and discrete demands," International Journal of Production Economics, Elsevier, vol. 81(1), pages 495-511, January.
    6. Steven Nahmias, 1982. "Perishable Inventory Theory: A Review," Operations Research, INFORMS, vol. 30(4), pages 680-708, August.
    7. Goyal, S. K. & Giri, B. C., 2001. "Recent trends in modeling of deteriorating inventory," European Journal of Operational Research, Elsevier, vol. 134(1), pages 1-16, October.
    8. S. K. Goyal, 1973. "Determination of Economic Packaging Frequency for Items Jointly Replenished," Management Science, INFORMS, vol. 20(2), pages 232-235, October.
    9. Edward P. C. Kao, 1979. "A Multi-Product Dynamic Lot-Size Model with Individual and Joint Set-up Costs," Operations Research, INFORMS, vol. 27(2), pages 279-289, April.
    10. Awi Federgruen & Yu-Sheng Zheng, 1992. "The Joint Replenishment Problem with General Joint Cost Structures," Operations Research, INFORMS, vol. 40(2), pages 384-403, April.
    11. Juho Hahm & Candace Arai Yano, 1995. "The Economic Lot and Delivery Scheduling Problem: Powers of Two Policies," Transportation Science, INFORMS, vol. 29(3), pages 222-241, August.
    12. Dev Joneja, 1990. "The Joint Replenishment Problem: New Heuristics and Worst Case Performance Bounds," Operations Research, INFORMS, vol. 38(4), pages 711-723, August.
    13. Nejib Ben-Khedher & Candace A. Yano, 1994. "The Multi-Item Joint Replenishment Problem with Transportation and Container Effects," Transportation Science, INFORMS, vol. 28(1), pages 37-54, February.
    14. Stephen C. Graves, 1979. "Note--On the Deterministic Demand Multi-Product Single-Machine Lot Scheduling Problem," Management Science, INFORMS, vol. 25(3), pages 276-280, March.
    15. S. K. Goyal, 1974. "Determination of Optimum Packaging Frequency of Items Jointly Replenished," Management Science, INFORMS, vol. 21(4), pages 436-443, December.
    16. Abdul-Jalbar, B. & Gutierrez, J. & Puerto, J. & Sicilia, J., 2003. "Policies for inventory/distribution systems: The effect of centralization vs. decentralization," International Journal of Production Economics, Elsevier, vol. 81(1), pages 281-293, January.
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