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Dynamic markdown decisions based on a quality loss function in on-site direct-sale supply chains for perishable food

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  • Shih-Pin Chen
  • Chih-Ying Chen

Abstract

Food loss and waste have become a critical problem worldwide. Determining an appropriate promotional strategy for reducing waste and environmental impacts to ensure sustainability is essential in supply chains (SCs). Considering quality losses, this paper proposes an on-site direct-sale dynamic SC inventory model involving one retailer and one contracted supply centre for perishable foods. This model enables the determination of optimal price markdown decisions while maximizing the total channel profit. Regularly priced and markdown products are substitutable during the markdown period, and their demand rates are dependent on price, quality, and time. The optimal solution for the price markdown timing is derived analytically, and a sensitivity analysis of various model parameters is conducted. Numerical studies are also presented to illustrate the effectiveness of the theoretical results; three scenarios with different types of customers served by the retailer are considered (general customers, product-quality-oriented customers, and price-oriented customers). Based on the theoretical and numerical findings, several managerial insights are provided.

Suggested Citation

  • Shih-Pin Chen & Chih-Ying Chen, 2021. "Dynamic markdown decisions based on a quality loss function in on-site direct-sale supply chains for perishable food," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(4), pages 822-836, March.
    • Handle: RePEc:taf:tjorxx:v:72:y:2021:i:4:p:822-836
    DOI: 10.1080/01605682.2019.1705192
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    Cited by:

    1. Wu, Pei-Ju, 2024. "The vulnerability and resilience of service quality management in food supply chains: Lessons from unstructured data on food-safety cases," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
    2. Fatemi, Maedeh S. & Ghodratnama, Ali & Tavakkoli-Moghaddam, Reza & Kaboli, Amin, 2022. "A multi-functional tri-objective mathematical model for the pharmaceutical supply chain considering congestion of drugs in factories," Research in Transportation Economics, Elsevier, vol. 92(C).

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