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

Kheybari, S ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1080/01605682.2021.1993758
  3. Publisher: Taylor and Francis Ltd , 2021
  4. Abstract:
  5. 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. © Operational Research Society 2021
  6. Keywords:
  7. Decision making ; Financial data processing ; Health risks ; Hospitals ; Location ; Risk analysis ; BAD methods ; Coronavirus (COVID-19) ; Coronaviruses ; Location selection ; Multicriteria decision-making ; Pandemic disease ; Portfolio optimization ; Risk averse ; Risk-averse best-bad method ; Temporary hospital ; Coronavirus
  8. Source: Journal of the Operational Research Society ; October , 2021 ; 01605682 (ISSN)
  9. URL: https://www.tandfonline.com/doi/full/10.1080/01605682.2021.1993758