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A Bayesian analysis on the effect of multiple supply options in a quick response environment

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  • Hag‐Soo Kim

Abstract

In the apparel industry, vendors often suffer from high mismatches in supply and demand. To cope with this problem, they procure the same style product from different suppliers with different manufacturing costs. Especially in the quick response environment, which allows vendors to monitor trends in customer demand and search for available suppliers through the electronic market, they have additional opportunities to improve their decision‐making. In this paper, we propose an analytical profit maximization model and develop efficient decision tools to help both the middle and lower level managers pursuing this strategy. Furthermore, we have shown how significantly the vendors' potential competitive edge can be improved by exploiting multiple supply options, even at the expense of high premium procurement costs for late orders. The effect is critical, especially in a highly competitive market, and it has important implications for the top managers. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2003

Suggested Citation

  • Hag‐Soo Kim, 2003. "A Bayesian analysis on the effect of multiple supply options in a quick response environment," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(8), pages 937-952, December.
    • Handle: RePEc:wly:navres:v:50:y:2003:i:8:p:937-952
    DOI: 10.1002/nav.10097
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    References listed on IDEAS

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    1. William S. Lovejoy, 1990. "Myopic Policies for Some Inventory Models with Uncertain Demand Distributions," Management Science, INFORMS, vol. 36(6), pages 724-738, June.
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    Cited by:

    1. Berrin Aytac & S. Wu, 2013. "Characterization of demand for short life-cycle technology products," Annals of Operations Research, Springer, vol. 203(1), pages 255-277, March.
    2. Rina Tanaka & Aya Ishigaki & Tomomichi Suzuki & Masato Hamada & Wataru Kawai, 2019. "Data Analysis of Shipment for Textiles and Apparel from Logistics Warehouse to Store Considering Disposal Risk," Sustainability, MDPI, vol. 11(1), pages 1-14, January.
    3. Choi, Tsan-Ming & Chen, Yue & Chung, Sai Ho, 2019. "Online-offline fashion franchising supply chains without channel conflicts: Choices on postponement and contracts," International Journal of Production Economics, Elsevier, vol. 215(C), pages 174-184.
    4. B Aytac & S D Wu, 2011. "Modelling high-tech product life cycles with short-term demand information: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 425-432, March.
    5. Yue Chen & Sai-Ho Chung & Shu Guo, 2020. "Franchising contracts in fashion supply chain operations: models, practices, and real case study," Annals of Operations Research, Springer, vol. 291(1), pages 83-128, August.

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