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Food donation management under supply and demand uncertainties in COVID-19: A robust optimization approach

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  • Dalal, Jyotirmoy

Abstract

COVID-19 pandemic and the associated lockdown have globally impacted the food-insecure low-income population. A community-based initiative of an NPO - working on malnutrition issues among the below poverty line children in an urban Indian setting - towards adoption of the slum- and shelter-dwelling children, faced challenges during the pandemic in tackling the twofold uncertainties regarding supply capacity reduction and demand surge. This paper extends earlier research on this NPO's pre-COVID-time food assistance program by introducing a robust optimization-based mathematical programming model to determine the donors to engage, donor-to-beneficiary allocations, and the associated optimal donation flows while addressing these uncertainties. The issue of over-conservatism in robust optimization is addressed by parameterizing the decision-maker's uncertainty budget. We present a detailed numerical study on a test problem along with interesting observations elicited by our sensitivity analyses.

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  • Dalal, Jyotirmoy, 2022. "Food donation management under supply and demand uncertainties in COVID-19: A robust optimization approach," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    • Handle: RePEc:eee:soceps:v:82:y:2022:i:pa:s0038012121002020
    DOI: 10.1016/j.seps.2021.101210
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    Cited by:

    1. Mokoena Sipho & Ngwakwe Collins, 2022. "Government’s Covid-19 Social Grant in South Africa: A Synopsis of the Effect on Recipients," HOLISTICA – Journal of Business and Public Administration, Sciendo, vol. 13(2), pages 93-101, December.
    2. Akkerman, Renzo & Buisman, Marjolein & Cruijssen, Frans & de Leeuw, Sander & Haijema, Rene, 2023. "Dealing with donations: Supply chain management challenges for food banks," International Journal of Production Economics, Elsevier, vol. 262(C).

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