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A Modified Joint Inventory Policy For Vmi Systems

Author

Listed:
  • QINGLONG GOU

    (School of Management, University of Science and Technology of China, Jinzhai Road 96 #, Hefei, Anhui, 230026, P. R. China)

  • LIANG LIANG

    (School of Management, University of Science and Technology of China, Jinzhai Road 96 #, Hefei, Anhui, 230026, P. R. China)

  • CHUANYONG XU

    (School of Management, University of Science and Technology of China, Jinzhai Road 96 #, Hefei, Anhui, 230026, P. R. China)

  • YONG ZHA

    (School of Management, University of Science and Technology of China, Jinzhai Road 96 #, Hefei, Anhui, 230026, P. R. China)

Abstract

Vendor managed inventory (VMI) is a supply-chain initiative in which the vendor is authorized to manage inventories of agreed upon stock-keeping-units at retail locations. In this paper, a modified joint inventory policy is introduced for VMI systems where the vendor takes a standard(s, S)policy and the retailers utilize can-order policies.Under the regime of a can-order policy, each retailer's inventory is controlled by three variabless,candS. Once the inventory position of retailerkreaches its must-order levels(k), a dispatch from the vendor to retailers is triggered. At the same time, any retailerj, with inventory position at or below its can-order levelc(j), is included in the dispatch and thus an economical consolidated dispatch quantity accumulates.To formulate the policy, a renewal theoretic model for the case of Poisson demands is developed. Due to the complexity of the problem, it is difficult to get the analytical solution and thus simulations are utilized to obtain an approximate optimal decision. Finally, the results from simulations show that about 5 to 20 percent of the cost can be saved from utilizing of the modified joint policy, comparing with the standard joint(s, S)policy where both the vendor and retailers take(s, S)policies.

Suggested Citation

  • Qinglong Gou & Liang Liang & Chuanyong Xu & Yong Zha, 2008. "A Modified Joint Inventory Policy For Vmi Systems," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 225-240.
  • Handle: RePEc:wsi:ijitdm:v:07:y:2008:i:02:n:s0219622008002892
    DOI: 10.1142/S0219622008002892
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    Cited by:

    1. Govindan, Kannan, 2015. "The optimal replenishment policy for time-varying stochastic demand under vendor managed inventory," European Journal of Operational Research, Elsevier, vol. 242(2), pages 402-423.

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