A new hybrid risk-averse best-worst method and portfolio optimization to select temporary hospital locations for Covid-19 patients

Siamak Kheybari, Alessio Ishizaka and Amirhossein Salamirad

Journal of the Operational Research Society, 2023, vol. 74, issue 2, 509-526

Abstract: Choosing the right place to set up temporary hospitals is one of the most important and urgent measures for pandemic response. To solve this problem, we propose a new hybrid approach based on two steps. Firstly, since human health is highly sensitive to the impact of decisions about temporary hospital locations and a mistake may pose severe threat to human lives, we propose a new risk-averse multi-criteria decision-making (MCDM) approach. To choose the alternatives with the fewest possible weaknesses, a comprehensive hierarchal structure of relevant criteria categorized into environmental, social, economic, and infrastructural, along with a new risk-averse best-worst method (BWM), are presented as the two components of the MCDM approach. Secondly, considering the output of risk-averse BWM and the distance between the selected centres for better patient coverage as parameters, a portfolio optimization model is used for the hospital selection locations. Our new approach has been applied to a real case study to select cities in Mazandaran, a northern Iranian province seriously affected by the Coronavirus (COVID-19), as places to build temporary hospitals.

Date: 2023
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DOI: 10.1080/01605682.2021.1993758

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