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Optimizing shipment, ordering and pricing policies in a two-stage supply chain with price-sensitive demand

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  • Sajadieh, Mohsen S.
  • Akbari Jokar, Mohammad R.
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    Abstract

    In this paper we focus on a two-stage supply chain consisting of one vendor and one buyer. We develop an integrated production-inventory-marketing model to determine the relevant profit-maximizing decision variable values. The model proposed is based on the joint total profit of both the vendor and the buyer, and it finds out the optimal ordering, shipment and pricing policies. We are able to ascertain the optimal decision variable values employing an analytical solution procedure. The numerical evidence suggests that it is more beneficial for the buyer and the vendor to cooperate with each other when the demand is more price sensitive.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.

    Volume (Year): 45 (2009)
    Issue (Month): 4 (July)
    Pages: 564-571

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    Handle: RePEc:eee:transe:v:45:y:2009:i:4:p:564-571

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    Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description

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    Related research

    Keywords: Joint economic lot sizing Vendor-buyer coordination Shipment policy Pricing policy;

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    Cited by:
    1. Hong, Ki-sung & Lee, Chulung, 2013. "Optimal time-based consolidation policy with price sensitive demand," International Journal of Production Economics, Elsevier, vol. 143(2), pages 275-284.
    2. Glock, Christoph H., 2012. "The joint economic lot size problem: A review," International Journal of Production Economics, Elsevier, vol. 135(2), pages 671-686.
    3. Sajadieh, Mohsen S. & Fallahnezhad, Mohammad Saber & Khosravi, Maryam, 2013. "A joint optimal policy for a multiple-suppliers multiple-manufacturers multiple-retailers system," International Journal of Production Economics, Elsevier, vol. 146(2), pages 738-744.
    4. Lee, Shine-Der & Fu, Yen-Chen, 2014. "Joint production and delivery lot sizing for a make-to-order producer–buyer supply chain with transportation cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 23-35.

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