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Single-manufacturer, multi-retailer consignment policy for retailers’ generalized demand distributions

Author

Listed:
  • J Yu

    (Southern Methodist University, Dallas, USA)

  • B R Sarker

    (Louisiana State University, Baton Rouge, USA)

  • Q Duan

    (Louisiana State University, Baton Rouge, USA)

  • B Wu

    (Louisiana State University, Baton Rouge, USA)

Abstract

Consignment policy (CP) is a novel approach to the inventory management in supply chains. It is based on strong interaction and reliable collaboration between vendor(s) and buyer(s), which is acquiring growing importance in today's industrial reality. Unlike most literature focusing on single-vendor single-buyer models and deterministic customer demand, a single-manufacturer (vendor) multi-retailer (buyer) generic model is developed under stochastic customer demand in this study. In order to understand the potential benefits of CP, it is compared with a traditional policy (TP) model developed in the similar approach. The models are tested with two scenarios of uniform and exponential demand distributions of the retailers. The results show how CP works better than the traditional uncoordinated optimization. It not only helps the manufacturer to generate higher profit, but also coordinates retailers to achieve a higher supply chain profit. At the same time, each retailer earns at least as much as they do in TP. Further price discount sensitivity analysis demonstrates the efficiency of CP when facing price-demand fluctuation.

Suggested Citation

  • J Yu & B R Sarker & Q Duan & B Wu, 2012. "Single-manufacturer, multi-retailer consignment policy for retailers’ generalized demand distributions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(12), pages 1708-1719, December.
    • Handle: RePEc:pal:jorsoc:v:63:y:2012:i:12:p:1708-1719
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    Citations

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    Cited by:

    1. Sarker, Bhaba R., 2014. "Consignment stocking policy models for supply chain systems: A critical review and comparative perspectives," International Journal of Production Economics, Elsevier, vol. 155(C), pages 52-67.
    2. Islam, S.M. Shahidul & Hoque, Md. Abdul & Hamzah, Norhayati, 2017. "Single-supplier single-manufacturer multi-retailer consignment policy for retailers’ generalized demand distributions," International Journal of Production Economics, Elsevier, vol. 184(C), pages 157-167.
    3. Jean Respen & Nicolas Zufferey & Philippe Wieser, 2017. "Three-level inventory deployment for a luxury watch company facing various perturbations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1195-1210, October.
    4. Buisman, Marjolein E. & Rohmer, Sonja U.K., 2022. "Inventory decisions for ameliorating products under consideration of stochastic demand," International Journal of Production Economics, Elsevier, vol. 252(C).
    5. Hariga, Moncer & As’ad, Rami & Khan, Zeinab, 2017. "Manufacturing-remanufacturing policies for a centralized two stage supply chain under consignment stock partnership," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 362-374.
    6. Po-Yu Chen, 2017. "Optimal Retail Price Model for Partial Consignment to Multiple Retailers," Complexity, Hindawi, vol. 2017, pages 1-11, December.
    7. Hossain, Md Shahriar J. & Ohaiba, Mohamed M. & Sarker, Bhaba R., 2017. "An optimal vendor-buyer cooperative policy under generalized lead-time distribution with penalty cost for delivery lateness," International Journal of Production Economics, Elsevier, vol. 188(C), pages 50-62.

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