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Optimal reservation pricing strategy for a fashion supply chain with forecast update and asymmetric cost information

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  • Danqin Yang
  • Tiaojun Xiao
  • Tsan-Ming Choi
  • T.C.E. Cheng

Abstract

We address the reservation pricing problem for a two-echelon fashion supply chain in which the downstream manufacturer with private information on its operations cost (low or high type) reserves the capacity for a critical component from the upstream supplier before placing the final order. We consider the case when the demand forecast is partially updated. We find that a novel menu of reservation contracts containing the unit reservation fee with reservation quantity and final order could induce the manufacturer to reveal its operations cost information truthfully. We also show that the supplier should require less capacity reservation and charge a lower unit reservation fee if it has asymmetric information about the manufacturer’s operations cost. Finally, we analyse the effects of forecast update, and our results indicate that: (i) the supplier benefits from forecast update because the optimal reservation pricing strategy is designed to reveal the true information and meanwhile induce a higher capacity reservation; and (ii) a greater amount of forecast update decreases the supply chain deficit and increases the supplier’s agency cost.

Suggested Citation

  • Danqin Yang & Tiaojun Xiao & Tsan-Ming Choi & T.C.E. Cheng, 2018. "Optimal reservation pricing strategy for a fashion supply chain with forecast update and asymmetric cost information," International Journal of Production Research, Taylor & Francis Journals, vol. 56(5), pages 1960-1981, March.
  • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:5:p:1960-1981
    DOI: 10.1080/00207543.2014.998789
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    Cited by:

    1. Choi, Tsan-Ming & Luo, Suyuan, 2019. "Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 139-152.
    2. Matsui, Kenji, 2019. "A supply chain member should set its margin later if another member's cost is highly uncertain," European Journal of Operational Research, Elsevier, vol. 275(1), pages 127-138.
    3. Shaojian Qu & Yefan Han & Zhong Wu & Hassan Raza, 2021. "Consensus Modeling with Asymmetric Cost Based on Data-Driven Robust Optimization," Group Decision and Negotiation, Springer, vol. 30(6), pages 1395-1432, December.
    4. Saskia Manshoven & Wim Van Opstal, 2022. "The Carrot or the Stick? Stakeholder Support for Mandatory Regulations towards a Circular Fashion System," Sustainability, MDPI, vol. 14(22), pages 1-31, November.
    5. Sung-Moon Jung & Shie-Gheun Koh & Young-Jin Kim & Pyung-Hoi Koo, 2023. "Coordinated Supply Contracts for a Two-Echelon Supply Chain under Given Bargaining Powers," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    6. Wang, Qingwei & Zheng, Meimei & Lee, Ka-Man & Shi, Xiaoqian & Shen, Yichi & Pan, Ershun, 2024. "Optimal product and after-sales service decisions considering risk attitudes under price-dependent uncertain demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    7. Jiawu Peng & Yue Zhao & Lili Dai, 2023. "Equilibrium Strategy of Production and Order in a Two-Echelon Supply Chain with Demand Information Updates and Capacity Restriction," Mathematics, MDPI, vol. 11(23), pages 1-32, November.

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