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Competition for Medical Supplies Under Stochastic Demand in the Covid-19 Pandemic: A Generalized Nash Equilibrium Framework

In: Nonlinear Analysis and Global Optimization

Author

Listed:
  • Anna Nagurney

    (University of Massachusetts)

  • Mojtaba Salarpour

    (University of Massachusetts)

  • June Dong

    (State University of New York)

  • Pritha Dutta

    (Pace University)

Abstract

The Covid-19 pandemic has negatively impacted virtually all economic and social activities across the globe. Presently, since there is still no vaccine and no curative treatments for this disease, medical supplies in the form of Personal Protective Equipment and ventilators are sorely needed for healthcare workers and certain patients, respectively. The fact that this healthcare disaster is not limited in time and space has resulted in intense global competition for medical supplies. In this paper, we construct the first Generalized Nash Equilibrium model with stochastic demands to model competition among organizations at demand points for medical supplies. The model includes multiple supply points and multiple demand points, along with prices of the medical items and generalized costs associated with transportation. The theoretical constructs are provided and a Variational Equilibrium utilized to enable alternative variational inequality formulations. A qualitative analysis is presented and an algorithm proposed, along with convergence results. Illustrative examples are detailed as well as numerical examples that are solved with the implemented algorithm. The results reveal the impacts of the addition of supply points as well as of demand points on the medical item product flows. The formalism may be adapted to multiple medical items both in the near term and in the longer term (such as for vaccines).

Suggested Citation

  • Anna Nagurney & Mojtaba Salarpour & June Dong & Pritha Dutta, 2021. "Competition for Medical Supplies Under Stochastic Demand in the Covid-19 Pandemic: A Generalized Nash Equilibrium Framework," Springer Optimization and Its Applications, in: Themistocles M. Rassias & Panos M. Pardalos (ed.), Nonlinear Analysis and Global Optimization, pages 331-356, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-61732-5_15
    DOI: 10.1007/978-3-030-61732-5_15
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    Cited by:

    1. Baloch, Gohram & Gzara, Fatma & Elhedhli, Samir, 2023. "Risk-based allocation of COVID-19 personal protective equipment under supply shortages," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1085-1100.
    2. Shao, Jianfang & Fan, Yu & Wang, Xihui & Liang, Changyong & Liang, Liang, 2023. "Designing a new framework agreement in humanitarian logistics based on deprivation cost functions," International Journal of Production Economics, Elsevier, vol. 256(C).
    3. Mehdi Alizadeh & Mir Saman Pishvaee & Hamed Jahani & Mohammad Mahdi Paydar & Ahmad Makui, 2023. "Viable healthcare supply chain network design for a pandemic," Annals of Operations Research, Springer, vol. 328(1), pages 35-73, September.
    4. Georgia Fargetta & Antonino Maugeri & Laura Scrimali, 2022. "A Stochastic Nash Equilibrium Problem for Medical Supply Competition," Journal of Optimization Theory and Applications, Springer, vol. 193(1), pages 354-380, June.

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