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Gresilient supplier selection through Fuzzy Ordinal Priority Approach: decision-making in post-COVID era
Operations Management Research ( IF 6.9 ) Pub Date : 2021-03-16 , DOI: 10.1007/s12063-021-00178-z
Amin Mahmoudi , Saad Ahmed Javed , Abbas Mardani

Because of the COVID-19 outbreak, the supply of both essential and non-essential goods and services has been unprecedentedly disrupted. In the absence of any playbook, the need for innovative technologies to aid recovery from the Supply Chain (SC) disruptions quickly and effectively becomes persistent. The study aims to develop an innovative decision-making technology to handle the supplier selection problems arising from the frequent impreciseness and incompleteness in the nowadays' SC reports within the framework of the gresilient supply chain management. Through the integration of green and resilience aspects of the SCs, the supply chain 'gresilience' has been conceptualized. In light of this construct and based on the data collected from a manufacturing firm, the study deploys a two-fold decomposition of the core algorithm of the Ordinal Priority Approach (OPA), one for attributes and other for alternatives. It extends the OPA to the Fuzzy OPA (OPA-F) for solving the supplier selection problems. The study illustrates how green and resilience aspects of the SC can be integrated to better understand the gresilient suppliers in the wake of the SC disruptions. A novel construct of SC Gresilience is also furnished along with a novel definition of SC Gresilience. It also provides an innovative SC decision-making technology to help procurement managers to evaluate their suppliers. The resultant framework can help them better prepare for the COVID-19 like disruptions in the future.



中文翻译:

通过模糊有序优先权法选择合适的供应商:后COVID时代的决策

由于发生了COVID-19疫情,必需品和非必需品和服务的供应受到了前所未有的中断。在没有任何剧本的情况下,对创新技术的需求将持续存在,以迅速有效地帮助其从供应链(SC)中断中恢复。该研究旨在开发一种创新的决策技术,以解决因供应链管理框架而导致的当今供应链管理报告中频繁出现的不精确和不完整所引起的供应商选择问题。通过SC的绿色和弹性方面的整合,供应链的“弹性”已被概念化。根据这种构造,并根据从制造公司收集的数据,该研究对序贯优先级方法(OPA)的核心算法进行了两次分解,一种分解为属性,另一种分解为替代方案。它将OPA扩展为Fuzzy OPA(OPA-F),以解决供应商选择问题。该研究表明,在SC中断之后,如何整合SC的绿色和弹性方面,以更好地了解具有优势的供应商。还提供了SC Gresilience的新颖构造以及SC Gresilience的新颖定义。它还提供了创新的SC决策技术,以帮助采购经理评估其供应商。由此产生的框架可以帮助他们更好地为COVID-19做准备,例如将来的中断。它将OPA扩展为Fuzzy OPA(OPA-F),以解决供应商选择问题。该研究表明,在SC中断之后,如何整合SC的绿色和弹性方面,以更好地了解具有优势的供应商。还提供了SC Gresilience的新颖构造以及SC Gresilience的新颖定义。它还提供了创新的SC决策技术,以帮助采购经理评估其供应商。由此产生的框架可以帮助他们更好地为COVID-19做准备,例如将来的中断。它将OPA扩展为Fuzzy OPA(OPA-F),以解决供应商选择问题。该研究表明,在SC中断之后,如何整合SC的绿色和弹性方面,以更好地了解具有优势的供应商。还提供了SC Gresilience的新颖构造以及SC Gresilience的新颖定义。它还提供了创新的SC决策技术,以帮助采购经理评估其供应商。由此产生的框架可以帮助他们更好地为COVID-19做准备,例如将来的中断。还提供了SC Gresilience的新颖构造以及SC Gresilience的新颖定义。它还提供了创新的SC决策技术,以帮助采购经理评估其供应商。由此产生的框架可以帮助他们更好地为COVID-19做准备,例如将来的中断。还提供了SC Gresilience的新颖构造以及SC Gresilience的新颖定义。它还提供了创新的SC决策技术,以帮助采购经理评估其供应商。由此产生的框架可以帮助他们更好地为COVID-19做准备,例如将来的中断。

更新日期:2021-03-16
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