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

Environmental modeling and assessment Pub Date : 2023-01-01 Epub Date: 2022-12-16 DOI:10.1007/s10666-022-09863-0
Sina Abbasi, Maryam Daneshmand-Mehr, Armin Ghane Kanafi
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Abstract

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 CO2 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 CO2 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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冠状病毒(COVID-19)大流行期间的绿色闭环供应链网络设计:伊朗汽车行业案例研究。
本文提出了 COVID-19 大流行期间绿色闭环供应链网络(GCLSCN)的新数学模型。所建议的模型可以解释 COVID-19 爆发期间环境(二氧化碳排放量最小化)与经济(总成本最小化)之间的权衡。考虑到疫情爆发期间的卫生指导方针,有助于我们设计新的可持续卫生供应链(SC)。该模型对成本结构非常敏感。成本包括两部分:不考虑冠状病毒大流行的正常成本和考虑冠状病毒的成本。本文的经济创新点在于卫生成本。它包括消毒和消毒剂成本、个人防护设备 (PPE) 成本、COVID-19 检测、教育、药品、疫苗和接种成本。本文提出了在大流行期间设计 GCLSCN 的多目标混合整数编程(MOMIP)问题。优化程序采用标量化方法,即加权和法(WSM)。计算优化过程通过 Lingo 软件进行。由于 COVID-19 大流行的发生时间较晚,因此仍存在许多研究空白。我们在这项研究中的贡献如下:(i) 设计了绿色供应链(GSC)模型,并展示了 COVID-19 大流行和封锁期间经济和环境方面的较佳权衡;(ii) 设计了卫生供应链;(iii) 提出了 COVID-19 爆发期间经济方面的新指标;(iv) 发现了 COVID-19 和封锁的积极影响(减少二氧化碳排放)和消极影响(增加成本)。因此,本研究设计了一个新的卫生模型,以填补 COVID-19 条件灾难的这一空白。拟议网络的研究结果表明,在 COVID-19 大流行期间,自然科学变得更加绿色。在 COVID-19 大流行期间,网络的总成本有所增加,但封锁对排放和空气质量产生了直接的积极影响。
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GCC Countries Strategic Options in a Global Transition to Zero-Net Emissions. Spatial-Temporal Pattern and Influencing Factors of Ecological Efficiency in Zhejiang-Based on Super-SBM Method. Green Closed-Loop Supply Chain Network Design During the Coronavirus (COVID-19) Pandemic: a Case Study in the Iranian Automotive Industry. Trajectories for Energy Transition in EU-28 Countries over the Period 2000–2019: a Multidimensional Approach Machine Learning-Based Modeling of the Environmental Degradation, Institutional Quality, and Economic Growth.
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