Two-phase COVID-19 medical waste transport optimisation considering sustainability and infection probability

A safe and effective medical waste transport network is beneficial to control the COVID-19 pandemic and at least decelerate the spread of novel coronavirus. Seldom studies concentrated on a two-phase COVID-19 medical waste transport in the presence of multi-type vehicle selection, sustainability, an...

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Published in:Journal of cleaner production Vol. 389; p. 135985
Main Authors: Cao, Cejun, Xie, Yuting, Liu, Yang, Liu, Jiahui, Zhang, Fanshun
Format: Journal Article
Language:English
Published: Netherlands Elsevier Ltd 20.02.2023
The Authors. Published by Elsevier Ltd
Subjects:
case studies
COVID-19 infection
COVID-19 medical waste
economic sustainability
Infection probability
Lexicographic optimisation approach
Mixed-integer programming model
Orthocoronavirinae
risk
society
Sustainability
Two-phase transport optimisation
Infection probability
Mixed-integer programming model
COVID-19 medical waste
Two-phase transport optimisation
Sustainability
Lexicographic optimisation approach
Mixed -integer programming model
ISSN:0959-6526, 1879-1786, 1879-1786
Online Access:Get full text
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Summary:A safe and effective medical waste transport network is beneficial to control the COVID-19 pandemic and at least decelerate the spread of novel coronavirus. Seldom studies concentrated on a two-phase COVID-19 medical waste transport in the presence of multi-type vehicle selection, sustainability, and infection probability, which is the focus of this paper. This paper aims to identify the priority of sustainable objectives and observe the impacts of multi-phase and infection probability on the results. Thus, such a problem is formulated as a mixed-integer programming model to minimise total potential infection risks, minimise total environmental risks, and maximise total economic benefits. Then, a hybrid solution strategy is designed, incorporating a lexicographic optimisation approach and a linear weighted sum method. A real-world case study from Chongqing is used to illustrate this methodology. Results indicate that the solution strategy guides a good COVID-19 medical waste transport scheme within 1 min. The priority of sustainable objectives is society, economy, and environment in the first and second phases because the total Gap of case No.35 is 3.20%. A decentralised decision mode is preferred to design a COVID-19 medical waste transport network at the province level. Whatever the infection probability is, infection risk is the most critical concern in the COVID-19 medical waste clean-up activities. Environmental and economic sustainability performance also should be considered when infection probability is more than a certain threshold. •Two-phase COVID-19 medical waste transport with infection probability is studied.•A mixed-integer programming model to optimise sustainability is formulated.•A hybrid solution strategy is designed to solve the proposed multi-objective model.•The priority of sustainable objectives is society, economy, and environment.
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ISSN:0959-6526
1879-1786
1879-1786
DOI:10.1016/j.jclepro.2023.135985