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Delivery time quotation and pricing in two-stage supply chains: Centralized decision-making with global and local managerial approaches

Author

Listed:
  • Ramzi Hammami

    (ESC [Rennes] - ESC Rennes School of Business)

  • Yannick Frein

    (G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

  • Abduh Albana

    (G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

Abstract

This study investigates the delivery time quotation and pricing in a two-stage make-to-order supply chain facing a time- and price-sensitive demand. We consider different managerial approaches which results in different models. First, we study a global model where a pair of price and delivery time are quoted to customers to maximize the expected overall profit while satisfying a global service level on the whole system. Second, we study a local model where each stage is required to quote a local delivery time while satisfying a local service level, and the delivery time quoted to customers consists of both local delivery times and must satisfy the global service level. The objective is similar to that of the global model. When both stages target the same service level than the one imposed to the whole system, we demonstrate under realistic conditions that satisfying the local service constraints enables to satisfy the global service constraint. This allows to remove the global constraint from the local model and solve it analytically. With comparison to the global model, the local model presents several managerial advantages with a limited profit loss. The mean gap is only 1.68% for a service level of 95%. We perform sensitivity analyses to derive insights into the impact of market characteristics and capacities on the performance of each stage and the overall performance. Finally, we extend the local model by allowing each stage to targeting a different service level. This leads to closing the profit gap with the global model.

Suggested Citation

  • Ramzi Hammami & Yannick Frein & Abduh Albana, 2020. "Delivery time quotation and pricing in two-stage supply chains: Centralized decision-making with global and local managerial approaches," Post-Print hal-02898219, HAL.
  • Handle: RePEc:hal:journl:hal-02898219
    DOI: 10.1016/j.ejor.2020.03.006
    Note: View the original document on HAL open archive server: https://rennes-sb.hal.science/hal-02898219
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    References listed on IDEAS

    as
    1. Sabri Çelik & Costis Maglaras, 2008. "Dynamic Pricing and Lead-Time Quotation for a Multiclass Make-to-Order Queue," Management Science, INFORMS, vol. 54(6), pages 1132-1146, June.
    2. Zhu, Stuart X., 2015. "Integration of capacity, pricing, and lead-time decisions in a decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 164(C), pages 14-23.
    3. Liming Liu & Mahmut Parlar & Stuart X. Zhu, 2007. "Pricing and Lead Time Decisions in Decentralized Supply Chains," Management Science, INFORMS, vol. 53(5), pages 713-725, May.
    4. Sayid Albana, Abduh & Frein, Yannick & Hammami, Ramzi, 2018. "Effect of a lead time-dependent cost on lead time quotation, pricing, and capacity decisions in a stochastic make-to-order system with endogenous demand," International Journal of Production Economics, Elsevier, vol. 203(C), pages 83-95.
    5. Tamer Boyaci & Saibal Ray, 2003. "Product Differentiation and Capacity Cost Interaction in Time and Price Sensitive Markets," Manufacturing & Service Operations Management, INFORMS, vol. 5(1), pages 18-36, May.
    6. So, Kut C. & Song, Jing-Sheng, 1998. "Price, delivery time guarantees and capacity selection," European Journal of Operational Research, Elsevier, vol. 111(1), pages 28-49, November.
    7. Ramzi Hammami & Yannick Frein & Bouchaib Bahli, 2017. "Supply chain design to guarantee quoted lead time and inventory replenishment: model and insights," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3431-3450, June.
    8. Tiaojun Xiao & Xiangtong Qi, 2016. "A two-stage supply chain with demand sensitive to price, delivery time, and reliability of delivery," Annals of Operations Research, Springer, vol. 241(1), pages 475-496, June.
    9. Ramzi Hammami & Yannick Frein, 2014. "A Capacitated Multi-echelon Inventory Placement Model under Lead Time Constraints," Production and Operations Management, Production and Operations Management Society, vol. 23(3), pages 446-462, March.
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    Cited by:

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    3. Zhai, Yue & Hua, Guowei & Cheng, Meng & Cheng, T.C.E., 2023. "Production lead-time hedging and order allocation in an MTO supply chain," European Journal of Operational Research, Elsevier, vol. 311(3), pages 887-905.
    4. Zhai, Yue & Cheng, T.C.E., 2022. "Lead-time quotation and hedging coordination in make-to-order supply chain," European Journal of Operational Research, Elsevier, vol. 300(2), pages 449-460.
    5. Hammami, Ramzi & Frein, Yannick & Nouira, Imen & Albana, Abduh-Sayid, 2022. "On the interplay between local lead times, overall lead time, prices, and profits in decentralized supply chains," International Journal of Production Economics, Elsevier, vol. 243(C).
    6. Hammami, Ramzi & Asgari, Erfan & Frein, Yannick & Nouira, Imen, 2022. "Time- and price-based product differentiation in hybrid distribution with stockout-based substitution," European Journal of Operational Research, Elsevier, vol. 300(3), pages 884-901.

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