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A Sustainable Production and Waste Management Policies for COVID-19 Medical Equipment under Uncertainty: A Case Study Analysis
Computers & Industrial Engineering ( IF 6.7 ) Pub Date : 2021-05-05 , DOI: 10.1016/j.cie.2021.107381
Firoz Ahmad , Shafiq Ahmad , Mazen Zaindin

Unfortunately, an abrupt corona-virus disease (COVID-19) outbreak brought a drastic change in human lives. Almost every sector of human-beings and their related activities are severely infected and affected by this COVID-19 pandemic. As days are passing, the impact of the COVID-19 epidemic is going to be more severe. The fundamental needs for personal protective equipment (PPEs) are rising drastically all over the world. In India, many non-pharmaceutical companies or organizations such as automobile companies are engaged in producing the PPEs at a very marginal rate. Thus this paper proposes a modeling and optimization framework for sustainable production and waste management (SPWM) decision-making model for COVID-19 medical equipment under uncertainty. To quantify the uncertainties among parameter values, we have taken advantage of the intuitionistic fuzzy set theory. A robust ranking function is presented to obtain a crisp version of it. Furthermore, a novel interactive intuitionistic fuzzy programming approach is developed to solve the proposed SPWM model. An ample opportunity to generate the desired solution sets are also depicted. The performance analysis based on multiple criteria such as savings from baseline, co-efficient of variations, and desirability degrees is also introduced. Practical managerial implications are also discussed based on the significant findings after applying to the real case study data-set. Finally, conclusive remarks and the future research direction are also addressed on behalf of the current contributing study.



中文翻译:

不确定情况下COVID-19医疗设备的可持续生产和废物管理政策:案例分析

不幸的是,突然的冠状病毒病(COVID-19)爆发给人类的生活带来了巨大的变化。几乎每一个人类领域及其相关活动都受到这种COVID-19大流行的严重感染和影响。随着时间的流逝,COVID-19流行病的影响将更加严重。在世界范围内,个人防护设备(PPE)的基本需求正在急剧增加。在印度,许多非制药公司或组织(例如汽车公司)都以极低的利润率生产PPE。因此,本文提出了不确定性下COVID-19医疗设备可持续生产和废物管理(SPWM)决策模型的建模和优化框架。为了量化参数值之间的不确定性,我们利用了直觉模糊集理论。提出了鲁棒的排名功能以获得清晰的版本。此外,开发了一种新颖的交互式直觉模糊规划方法来解决所提出的SPWM模型。还描述了生成所需解决方案集的充足机会。还介绍了基于多个标准的性能分析,例如从基线节省的成本,变化系数和合意程度。在应用于实际案例研究数据集之后,还将基于重要发现对实际管理意义进行讨论。最后,代表当前的研究也讨论了结论性意见和未来的研究方向。提出了一种新颖的交互式直觉模糊规划方法来解决所提出的SPWM模型。还描述了生成所需解决方案集的充足机会。还介绍了基于多个标准的性能分析,例如从基线节省的成本,变化系数和合意程度。在应用于实际案例研究数据集之后,还将基于重要发现对实际管理意义进行讨论。最后,代表当前的研究也讨论了结论性意见和未来的研究方向。提出了一种新颖的交互式直觉模糊规划方法来解决所提出的SPWM模型。还描述了生成所需解决方案集的充足机会。还介绍了基于多个标准的性能分析,例如从基线节省的成本,变化系数和合意程度。在应用于实际案例研究数据集之后,还将基于重要发现对实际管理意义进行讨论。最后,代表当前的研究也讨论了结论性意见和未来的研究方向。还介绍了基于多个标准的性能分析,例如从基线节省的成本,变化系数和合意程度。在应用于实际案例研究数据集之后,还将基于重要发现对实际管理意义进行讨论。最后,代表当前的研究也讨论了结论性意见和未来的研究方向。还介绍了基于多个标准的性能分析,例如从基线节省的成本,变化系数和合意程度。在应用于实际案例研究数据集之后,还将基于重要发现对实际管理意义进行讨论。最后,代表当前的研究也讨论了结论性意见和未来的研究方向。

更新日期:2021-05-06
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