Abbasi Sina, Daneshmand-Mehr Maryam, Ghane Kanafi Armin
Department of Industrial Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran.
Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran.
Environ Model Assess (Dordr). 2023;28(1):69-103. doi: 10.1007/s10666-022-09863-0. Epub 2022 Dec 16.
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 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 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.
本文提出了新冠疫情期间绿色闭环供应链网络(GCLSCN)的一种新数学模型。所建议的模型能够解释新冠疫情爆发期间环境(使碳排放最小化)与经济(使总成本最小化)方面之间的权衡。考虑疫情期间的卫生指南有助于我们设计一个新的可持续卫生供应链(SC)。该模型对成本结构敏感。成本包括两部分:不考虑新冠疫情的正常成本以及考虑新冠疫情的成本。本文在经济新颖性方面在于卫生成本。它包括消毒和消毒剂成本、个人防护装备(PPE)成本、新冠病毒检测、教育、药品、疫苗及疫苗接种成本。本文针对疫情期间设计GCLSCN提出了一个多目标混合整数规划(MOMIP)问题。优化过程采用标量化方法,即加权和法(WSM)。计算优化过程通过Lingo软件进行。由于新冠疫情较新,仍存在许多研究空白。我们对本研究的贡献如下:(i)设计了绿色供应链(GSC)模型,并展示了新冠疫情和封锁期间经济与环境方面之间更好的权衡;(ii)设计了卫生供应链;(iii)提出了新冠疫情爆发期间经济方面的新指标;(iv)发现了新冠疫情和封锁的积极(减少碳排放)和消极(成本增加)影响。因此,本研究设计了一个新的卫生模型来填补新冠疫情条件灾难下的这一空白。所提出网络的研究结果表明,在新冠疫情期间供应链变得更加绿色。新冠疫情期间网络的总成本有所增加,但封锁对排放和空气质量有直接的积极影响。