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Perishable Food Supply Chain Networks with Labor in the Covid-19 Pandemic

In: Dynamics of Disasters

Author

Listed:
  • Anna Nagurney

    (University of Massachusetts)

Abstract

The Covid-19 pandemic is a major healthcare disaster that has fundamentally transformed our daily lives and the operations of governments, businesses, healthcare operations, and educational institutions. It has elevated and expanded the role of essential workers, not only in healthcare but also in the food industry. The food industry has undergone major disruptions in the pandemic for reasons including compromised labor resources. In this paper, we develop a supply chain-generalized network optimization framework focused on perishable food. The model explicitly includes labor availability associated with the network economic activities of production, transportation, storage, and distribution in order to quantify the impacts of associated disruptions due to illnesses, physical/social distancing requirements, and decreases in labor productivity. Theoretical results are presented along with a series of numerical examples on a fresh produce product with quantification of a spectrum of pandemic-induced disruptions on product flows, demands, prices, and the profits of the food firm. We also show that including more direct demand markets for fresh produce can yield gains for the firm.

Suggested Citation

  • Anna Nagurney, 2021. "Perishable Food Supply Chain Networks with Labor in the Covid-19 Pandemic," Springer Optimization and Its Applications, in: Ilias S. Kotsireas & Anna Nagurney & Panos M. Pardalos & Arsenios Tsokas (ed.), Dynamics of Disasters, pages 173-193, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-64973-9_11
    DOI: 10.1007/978-3-030-64973-9_11
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    Cited by:

    1. Cheramin, Meysam & Saha, Apurba Kumar & Cheng, Jianqiang & Paul, Sanjoy Kumar & Jin, Hongyue, 2021. "Resilient NdFeB magnet recycling under the impacts of COVID-19 pandemic: Stochastic programming and Benders decomposition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    2. Agnieszka Szmelter-Jarosz & Javid Ghahremani-Nahr & Hamed Nozari, 2021. "A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19," JRFM, MDPI, vol. 14(11), pages 1-22, November.
    3. Anna Nagurney, 2022. "Supply chain networks, wages, and labor productivity: insights from Lagrange. analysis and computations," Journal of Global Optimization, Springer, vol. 83(3), pages 615-638, July.
    4. Nagurney, Anna, 2022. "Attracting international migrant labor: Investment optimization to alleviate supply chain labor shortages," Operations Research Perspectives, Elsevier, vol. 9(C).
    5. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    6. Balezentis, Tomas & Zickiene, Agne & Volkov, Artiom & Streimikiene, Dalia & Morkunas, Mangirdas & Dabkiene, Vida & Ribasauskiene, Erika, 2023. "Measures for the viable agri-food supply chains: A multi-criteria approach," Journal of Business Research, Elsevier, vol. 155(PA).

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