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Medical waste management during coronavirus disease 2019 (COVID-19) outbreak: A mathematical programming model

Govindan, K ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1016/j.cie.2021.107668
  3. Publisher: Elsevier Ltd , 2021
  4. Abstract:
  5. Municipal solid waste (MSW) directly impacts community health and environmental degradation; therefore, the management of MSW is crucial. Medical waste is a specific type of MSW which is generally divided into two categories: infectious and non-infectious. Wastes generated by coronavirus disease 2019 (COVID-19) are classified among infectious medical wastes; moreover, these wastes are hazardous because they threaten the environment and living organisms if they are not appropriately managed. This paper develops a bi-objective mixed-integer linear programming model for medical waste management during the COVID-19 outbreak. The proposed model minimizes the total costs and risks, simultaneously, of the population's exposure to pollution. This paper considers some realistic assumptions for the first time, including location-routing problem, time window-based green vehicle routing problem, vehicles scheduling, vehicles failure, split delivery, population risk, and load-dependent fuel consumption to manage both infectious and non-infectious medical waste. We apply a fuzzy goal programming approach for solving the proposed bi-objective model, and the efficiency of the proposed model and solution approach is assessed using data related to 13 nodes of medical waste production in a location west of Tehran. © 2021 The Author(s)
  6. Keywords:
  7. Biology ; Computer programming ; Integer programming ; Linear programming ; Multiobjective optimization ; Municipal solid waste ; Risk perception ; Vehicle routing ; Vehicles ; Classifieds ; Community health ; Coronavirus disease 2019 ; Coronaviruses ; Fuzzy goal programming ; Fuzzy goal programming approach ; Infectious-medical wastes ; Mathematical programming models ; Medical waste management ; Medical wastes ; Coronavirus
  8. Source: Computers and Industrial Engineering ; Volume 162 , December , 2021 ; 03608352 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S0360835221005726?via%3Dihub