Green Closed-Loop Supply Chain Network Design During the Coronavirus (COVID-19) Pandemic: a Case Study in the Iranian Automotive Industry

This paper presents a new mathematical model of the green closed-loop supply chain network (GCLSCN) during the COVID-19 pandemic. The suggested model can explain the trade-offs between environmental (minimizing CO 2 emissions) and economic (minimizing total costs) aspects during the COVID-19 outbrea...

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Vydané v:Environmental modeling & assessment Ročník 28; číslo 1; s. 69 - 103
Hlavní autori: Abbasi, Sina, Daneshmand-Mehr, Maryam, Ghane Kanafi, Armin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cham Springer International Publishing 01.02.2023
Springer
Springer Nature B.V
Predmet:
Air quality
Air quality management
Applications of Mathematics
Automobile industry
Carbon dioxide
Carbon dioxide emissions
Case studies
Closed loops
Computer applications
computer software
Coronaviruses
Costs
COVID-19
COVID-19 infection
Design
Disinfection
Earth and Environmental Science
Economic models
Economics
education
Emissions
Environment
Environmental aspects
Epidemics
Equipment costs
Green design
Health aspects
Hygiene
industry
Integer programming
Logistics
Math. Appl. in Environmental Science
Mathematical Modeling and Industrial Mathematics
Mathematical models
Mixed integer
Network design
Operations Research/Decision Theory
Optimization
Orthocoronavirinae
Outbreaks
pandemic
Pandemics
Protective equipment
safety equipment
sanitizers
supply chain
Supply chain sustainability
Supply chains
Tradeoffs
vaccination
Viral diseases
Supply chain management
Logistic network
Multi-objective optimization
CO
emissions
Weighted sum method
Lockdowns
CO2 emissions
ISSN:1420-2026, 1573-2967, 1573-2967
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Shrnutí:This paper presents a new mathematical model of the green closed-loop supply chain network (GCLSCN) during the COVID-19 pandemic. The suggested model can explain the trade-offs between environmental (minimizing CO 2 emissions) and economic (minimizing total costs) aspects during the COVID-19 outbreak. Considering the guidelines for hygiene during the outbreak helps us design a new sustainable hygiene supply chain (SC). This model is sensitive to the cost structure. The cost includes two parts: the normal cost without considering the coronavirus pandemic and the cost with considering coronavirus. The economic novelty aspect of this paper is the hygiene costs. It includes disinfection and sanitizer costs, personal protective equipment (PPE) costs, COVID-19 tests, education, medicines, vaccines, and vaccination costs. This paper presents a multi-objective mixed-integer programming (MOMIP) problem for designing a GCLSCN during the pandemic. The optimization procedure uses the scalarization approach, namely the weighted sum method (WSM). The computational optimization process is conducted through Lingo software. Due to the recency of the COVID-19 pandemic, there are still many research gaps. Our contributions to this research are as follows: (i) designed a model of the green supply chain (GSC) and showed the better trade-offs between economic and environmental aspects during the COVID-19 pandemic and lockdowns, (ii) designed the hygiene supply chain, (iii) proposed the new indicators of economic aspects during the COVID-19 outbreak, and (iv) have found the positive (reducing CO 2 emissions) and negative (increase in costs) impacts of COVID-19 and lockdowns. Therefore, this study designed a new hygiene model to fill this gap for the COVID-19 condition disaster. The findings of the proposed network illustrate the SC has become greener during the COVID-19 pandemic. The total cost of the network was increased during the COVID-19 pandemic, but the lockdowns had direct positive effects on emissions and air quality.
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ISSN:1420-2026
1573-2967
1573-2967
DOI:10.1007/s10666-022-09863-0