A novel cooperative model in the collection of infectious waste in COVID-19 pandemic
Journal of Modelling in Management
; 17(1):363-401, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1685009
ABSTRACT
PurposeProduction of waste has been increased exponentially due to world industrialization and urban and machine life expansion. On the other hand, the outbreak of the COVID-19 coronavirus quickly became a global crisis. This crisis has added a large amount of waste to urban waste. The purpose of this study is to create cooperation between municipal waste collector contractors.Design/methodology/approachThus, a mathematical model is proposed under uncertain conditions, which includes the volume of municipal waste and infectious waste including personal protective equipment and used equipment for patients. To reduce total costs, the results are evaluated with four cooperative game theory methods such as Shapley value, t value, core center and least core. Ultimately, the saved cost by cooperation in each coalition is allocated fairly among the contractors. Finally, a comparison was made between the solution methods based on the value of the objective function and the solution time.FindingsThe results indicate that the proposed cooperative method increases cost savings and reduces the fine of residual waste. Therefore, it can be mentioned that this kind of cooperation would finally result in more incentives for contractors to form larger coalitions. Genetic algorithms were used to solve the large-scale model.Originality/valueThe proposed model boosts the current understanding of waste management in the COVID-19 pandemic. The paper adds additional value by unveiling some key future research directions. This guidance may demonstrate possible existing and unexplored gaps so that researchers can direct future research to develop new processes.
Business And Economics--Management; Planning; Optimization; Health service; Modeling; Supply chain management; Operations research; COVID-19; Municipal waste; Collection; Cooperative game theory; Uncertainty; Municipal solid waste; Medical wastes; Population; Cooperation; Optimization techniques; Medical research; Contractors; Game theory; Environmental impact; Literature reviews; Cost control; Coronaviruses; Climate change; Cities; Case studies; 56211:Waste Collection
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Journal of Modelling in Management
Year:
2022
Document Type:
Article
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