Navigating COVID-19: unraveling supply chain disruptions through best-worst method and fuzzy TOPSIS

IF 4.5 Q1 MANAGEMENT
I. Ali, V. Charles, Umar Muhammad Modibbo, Tatiana Gherman, Srikant Gupta
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引用次数: 2

Abstract

PurposeThe COVID-19 pandemic has caused significant disruptions to global supply chains (SCs), affecting the production, distribution, and transportation of goods and services. To mitigate these disruptions, it is essential to identify the barriers that have impeded the seamless operation of SCs. This study identifies these barriers and assesses their impact on supply chain network (SCN).Design/methodology/approachTo determine the relative importance of different barriers and rank the affected industries, a hybrid approach was employed, combining the best-worst method (BWM) and the technique for order preference by similarity to an ideal solution (TOPSIS). To accommodate the inherent uncertainties associated with the pandemic, a triangular fuzzy TOPSIS was used to represent the linguistic variable ratings provided by decision-makers.FindingsThe study found that the airlines and hospitality industry was the most affected by the barriers, accounting for 46% of the total, followed by the healthcare industry (23%), the manufacturing industry (19%), and finally the consumer and retail industry (17%).Research limitations/implicationsThis study is limited to the four critical industries and nine identified barriers. Other industries and barriers may have different weights and rankings. Nevertheless, the findings offer valuable insights for decision-makers in SC management, aiding them in mitigating the impact of COVID-19 on their operations and enhancing their resilience against future disruptions.Originality/valueThis study enhances understanding of COVID-19’s impact on SCN and provides a framework for assessing disruptions using multi-criteria decision-making processes. The hybrid approach of BWM and TOPSIS in a fuzzy environment is unique and offers potential applicability in various evaluation contexts.
导航COVID-19:通过最佳-最差方法和模糊TOPSIS揭示供应链中断
2019冠状病毒病大流行对全球供应链造成了严重破坏,影响了商品和服务的生产、分销和运输。为了减轻这些干扰,必须确定阻碍SCs无缝运行的障碍。本研究确定了这些障碍,并评估了它们对供应链网络(SCN)的影响。设计/方法/方法为了确定不同壁垒的相对重要性并对受影响的行业进行排名,采用了一种混合方法,结合了最佳-最差方法(BWM)和通过与理想解决方案的相似性来排序偏好的技术(TOPSIS)。为了适应与大流行相关的固有不确定性,使用三角模糊TOPSIS来表示决策者提供的语言变量评级。研究发现,航空公司和酒店业受壁垒影响最大,占总数的46%,其次是医疗保健行业(23%),制造业(19%),最后是消费者和零售业(17%)。研究局限/启示本研究仅限于四个关键行业和九个确定的障碍。其他行业和壁垒可能有不同的权重和排名。尽管如此,研究结果为供应链管理的决策者提供了有价值的见解,帮助他们减轻COVID-19对其运营的影响,并增强其对未来中断的抵御能力。独创性/价值本研究增强了对COVID-19对SCN影响的理解,并为使用多标准决策流程评估中断提供了一个框架。模糊环境下BWM和TOPSIS的混合方法是独特的,在各种评价环境中具有潜在的适用性。
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来源期刊
CiteScore
10.40
自引率
16.10%
发文量
154
期刊介绍: Benchmarking is big news for companies committed to total quality programmes. Its enthusiastic reception by many prominent business figures has created high levels of interest in a technique which promises big rewards for co-operating partners. Yet, like total quality itself, it must be understood in its proper context, and implemented single mindedly if it is to be effective - this journal helps companies to decide if benchmarking is right for them, and shows them how to go about it successfully.
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