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A coordinated production and shipment model in a supply chain

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  • Kaya, Onur
  • Kubalı, Deniz
  • Örmeci, Lerzan

Abstract

In this study, we consider the coordination of transportation and production policies between a single supplier and a single retailer in a deterministic inventory system. In this supply chain, the customers are willing to wait at the expense of a waiting cost. Accordingly, the retailer does not hold inventory but accumulates the customer orders and satisfies them at a later time. The supplier produces the items, holds the inventory and ships the products to the retailer to satisfy the external demand. We investigate both a coordinated production/transportation model and a decentralized model. In the decentralized model, the retailer manages his own system and sends orders to the supplier, while the supplier determines her own production process and the amount to produce in an inventory replenishment cycle according to the order quantity of the retailer. However, in the coordinated model, the supplier makes all the decisions, so that she determines the length of the replenishment and transportation cycles as well as the shipment quantities to the retailer. We determine the structure of the optimal replenishment and transportation cycles in both coordinated and decentralized models and the corresponding costs. Our computational results compare the optimal costs under the coordinated and decentralized models. We also numerically investigate the effects of several parameters on the optimal solutions.

Suggested Citation

  • Kaya, Onur & Kubalı, Deniz & Örmeci, Lerzan, 2013. "A coordinated production and shipment model in a supply chain," International Journal of Production Economics, Elsevier, vol. 143(1), pages 120-131.
  • Handle: RePEc:eee:proeco:v:143:y:2013:i:1:p:120-131
    DOI: 10.1016/j.ijpe.2012.12.020
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    References listed on IDEAS

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    Cited by:

    1. Hsieh, Chung-Chi & Chang, Yih-Long & Wu, Cheng-Han, 2014. "Competitive pricing and ordering decisions in a multiple-channel supply chain," International Journal of Production Economics, Elsevier, vol. 154(C), pages 156-165.
    2. Juman, Z.A.M.S. & Hoque, M.A., 2014. "A heuristic solution technique to attain the minimal total cost bounds of transporting a homogeneous product with varying demands and supplies," European Journal of Operational Research, Elsevier, vol. 239(1), pages 146-156.
    3. Wei, Bo & Çetinkaya, Sıla & Cline, Daren B.H., 2023. "Inbound replenishment and outbound dispatch decisions under hybrid shipment consolidation policies: An analytical model and comparison," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    4. Feng Guo & Qi Liu & Dunhu Liu & Zhaoxia Guo, 2017. "On Production and Green Transportation Coordination in a Sustainable Global Supply Chain," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    5. Ik Sun Lee, 2016. "Production and shipment policy under dynamic demand in the supply chain environments," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 8(1), pages 1-19.
    6. Zhang, Zhi-Hai & Unnikrishnan, Avinash, 2016. "A coordinated location-inventory problem in closed-loop supply chain," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 127-148.

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