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Forward and backward stocking policies for a two-level supply chain with consignment stock agreement and stock-dependent demand

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  • Lee, W.
  • Wang, S.-P.
  • Chen, W.-C.

Abstract

We consider a vendor-managed inventory with consignment stock agreement applied to the integrated vendor–buyer system, in which the vendor manufactures a single product in batches and delivers it in equal-sized transfer lots to the buyer. Some of the delivered items are presented to the end customers in the buyer's display area, while the rest of the items are kept in the buyer's backroom warehouse. Demand is assumed to be positively dependent on the amount of stock displayed. We propose a new joint economic lot sizing (JELS) model, taking into account the vendor's stocking policy, to maximize the total profit for the coordinated system. This paper first proves that, for any stock-dependent demand, a minimum restocking level at the buyer's sales floor is a more profitable strategy than the traditional run-out replenishment policy. It then shows that when the unit inventory holding cost decreases as stock moves downstream the supply chain, the vendor ought to adopt the forward stocking policy, in which product is pushed forward to the buyer's warehouse as soon as possible. Finally, it derives the analytical formulations for the maximum inventory levels at different stocking points, while the vendor adopts either forward or backward stocking policy. Numerical examples are also provided for illustration.

Suggested Citation

  • Lee, W. & Wang, S.-P. & Chen, W.-C., 2017. "Forward and backward stocking policies for a two-level supply chain with consignment stock agreement and stock-dependent demand," European Journal of Operational Research, Elsevier, vol. 256(3), pages 830-840.
  • Handle: RePEc:eee:ejores:v:256:y:2017:i:3:p:830-840
    DOI: 10.1016/j.ejor.2016.06.060
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    References listed on IDEAS

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    Cited by:

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    2. M. Ganesh Kumar & R. Uthayakumar, 2019. "A two-echelon integrated inventory model under generalized lead time distribution with variable backordering rate," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 552-562, August.
    3. Ehsan Najafnejhad & Mahdieh Tavassoli Roodsari & Somayeh Sepahrom & Mojtaba Jenabzadeh, 2021. "A mathematical inventory model for a single-vendor multi-retailer supply chain based on the Vendor Management Inventory Policy," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 579-586, June.
    4. Weißhuhn, Sandria & Hoberg, Kai, 2021. "Designing smart replenishment systems: Internet-of-Things technology for vendor-managed inventory at end consumers," European Journal of Operational Research, Elsevier, vol. 295(3), pages 949-964.
    5. Jing Liu & Fuyou Huang & Chao Ma, 2021. "Coordination of VMI supply chain with replenishment tactic under risk aversion and sales effort," 4OR, Springer, vol. 19(3), pages 389-414, September.
    6. Dye, Chung-Yuan, 2020. "Optimal joint dynamic pricing, advertising and inventory control model for perishable items with psychic stock effect," European Journal of Operational Research, Elsevier, vol. 283(2), pages 576-587.
    7. Zhen Wang & Qianwang Deng & Like Zhang & Xiaoyan Liu, 2023. "Integrated scheduling of production, inventory and imperfect maintenance based on mutual feedback of supplier and demander in distributed environment," Journal of Intelligent Manufacturing, Springer, vol. 34(8), pages 3445-3467, December.

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