ArticleJournal of cleaner production2021
A hybrid mathematical modelling approach for energy generation from hazardous waste during the COVID-19 pandemic.
Article in Journal of cleaner production, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 34 citations in OpenAlex.
- A hybrid machine learning-mathematical programming optimization approach for municipal solid waste management during the pandemic.Environment, development and sustainability · 2023Article
- Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic.Expert systems with applications · 2023Article
- Two-phase COVID-19 medical waste transport optimisation considering sustainability and infection probability.Journal of cleaner production · 2023Article
- Waste management beyond the COVID-19 pandemic: Bibliometric and text mining analyses.Gondwana research : international geoscience journal · 2023Article
- Food waste in time of COVID-19: The heterogeneous effects on consumer groups in Italy and the Netherlands.Appetite · 2023Article
- Government intervention in municipal waste collection with a sustainable approach: a robust bi-level problem.Environment, development and sustainability · 2023Article
- Locating temporary waste treatment facilities in the cities to handle the explosive growth of HCWs during pandemics: A novel Grey-AHP-OCRA hybrid approach.Sustainable cities and society · 2022Article
- Hospital waste generation during the first wave of COVID-19 pandemic: a case study in Delhi.Environmental science and pollution research international · 2022Article
Corrections and comments
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Authors and funding
7 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 virus in a short time has caused a terrible crisis that has been spread around the world. This crisis has affected human life in several dimensions, one of which is a sharp increase in urban waste. This increase in waste volume during the pandemic, in addition to the intense increase in costs associated with the risks of virus contagion through infectious waste. In this study, a hybrid mathematical modelling approach including a Bi-level programming model for infectious waste management has been proposed. At the higher level of the model, government decisions regarding the total costs related to infectious waste must be minimized. At this level, the collected infectious waste is converted into energy, the revenue of which is returned to the system. The lower level relates to the risks of virus contagion through infectious waste, which can be catastrophic if ignored. This study has considered the low, medium, high and very high prevalence scenarios as key parameters for the production of waste. In addition, the uncertainty in citizens' demand for waste collection was also included in the proposed model. The results showed that by energy production from waste during the COVID-19 pandemic, 34% of the total cost of collecting and transporting waste can be compensated. Finally, this paper obtained useful managerial insights using the data of Kermanshah city as a real case.
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