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Quality in competitive fresh produce supply chains with application to farmers' markets

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  • Besik, Deniz
  • Nagurney, Anna

Abstract

Fresh produce supply chains have special characteristics, notably, that the quality of the product (fruit or vegetable) deteriorates continuously over time, even under ideal conditions. In this paper, we begin with explicit formulae for fresh produce quality deterioration based on chemistry and temperature and provide a path-based framework. We then focus on farmers' markets, the popularity of which has been growing due to consumers' greater awareness of and interest in product quality and emphasis on health. Farmers' markets, as examples of direct to consumer channels and shorter supply chains, are studied in the framework of game theory in both uncapacitated and capacitated versions. A case study of apples in Massachusetts, under various scenarios, including production disruptions, provides quantitative evidence of the applicability of our supply chain network approach.

Suggested Citation

  • Besik, Deniz & Nagurney, Anna, 2017. "Quality in competitive fresh produce supply chains with application to farmers' markets," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 62-76.
    • Handle: RePEc:eee:soceps:v:60:y:2017:i:c:p:62-76
    DOI: 10.1016/j.seps.2017.03.001
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    2. Sazvar, Zeinab & Sepehri, Mehran, 2020. "An integrated replenishment-recruitment policy in a sustainable retailing system for deteriorating products," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    3. Ma, Jun & Nault, Barrie R. & Tu, Yiliu (Paul), 2023. "Customer segmentation, pricing, and lead time decisions: A stochastic-user-equilibrium perspective," International Journal of Production Economics, Elsevier, vol. 264(C).
    4. Ge, Houtian & Goetz, Stephan J. & Cleary, Rebecca & Yi, Jing & Gómez, Miguel I., 2022. "Facility locations in the fresh produce supply chain: An integration of optimization and empirical methods," International Journal of Production Economics, Elsevier, vol. 249(C).
    5. Hu, Xiaowei & Li, Peng, 2022. "Relief and stimulus in a cross-sector multi-product scarce resource supply chain network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    6. Fahmy, Sherif A. & Zaki, Areej M. & Gaber, Yomna H., 2023. "Optimal locations and flow allocations for aggregation hubs in supply chain networks of perishable products," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    7. Pilar, Ladislav & Balcarova, Tereza & Rojik, Stanislav & Ticha, Ivana & Polakova, Jana, 2018. "Customer experience with farmers’ markets: what hashtags can reveal," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(6), July.
    8. Xiaowei Hu & Peng Li, 2021. "Relief and Stimulus in A Cross-sector Multi-product Scarce Resource Supply Chain Network," Papers 2101.09373, arXiv.org, revised Nov 2022.
    9. Besik, Deniz & Nagurney, Anna & Dutta, Pritha, 2023. "An integrated multitiered supply chain network model of competing agricultural firms and processing firms: The case of fresh produce and quality," European Journal of Operational Research, Elsevier, vol. 307(1), pages 364-381.
    10. Wang, Haiyan & Zhan, Sha-lei & Ng, Chi To & Cheng, T.C.E., 2020. "Coordinating quality, time, and carbon emissions in perishable food production: A new technology integrating GERT and the Bayesian approach," International Journal of Production Economics, Elsevier, vol. 225(C).

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