Assessment of challenges and problems in supply chain among retailers during COVID-19 epidemic through AHP-TOPSIS hybrid MCDM technique

S Mojahid Ul Islam , Sameen Khan , Hozaifa Ahmad , Md Adib Ur Rahman , Sarika Tomar , Mohd Zaheen Khan
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引用次数: 12

Abstract

Framework and objectives

COVID-19 epidemic has sparked concern and has elevated the need for therapeutic tools, health equipment's, and day-to-day necessities for healthcare workers' well-being. The goal of this study is to uncover the operational problems that suppliers encounter when it comes to offering effective services. The research also intends to offer an Industry 4.0 strategy for reducing COVID-19's effect. The problems are weighed and priority is assigned by multi-criteria decision making to identify the most essential parameter which impacts the suppliers.

Methods

A comprehensive literature assessment on the rampant eruption of COVID 19 and supply chain is conducted with the aid of literatures available on SCOPUS, Science Direct, and Google Scholar using appropriate keywords. To get further insights, certain pertinent and applicable industry reports and blogs are also used. Problems were analysed with AHP method and priority was assigned by technique for order performance by similarity to ideal solution (TOPSIS). Weights are calculated by AHP method and assigned to each criteria attribute.

Results

We recognized eleven key problems that serve as an operational obstacle in the retail industry and proposed the use of Industry 4.0 technology to address them. The contemporary study is accomplished by using hybrid combination of two Multi Criteria Estimators methods- Analytical Hierarchical Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Further, the most significant problem comes out to be Maintenance of an appropriate balance among supply and demand followed by Lack of Viability.

Key findings

Prioritization of supply chain problems are arranged in descending order Maintenance of an appropriate balance among supply and demand ​> ​Lack of Viability ​> ​Absence of government funding ​> ​Lack of access ​> ​Absence of Confidence ​> ​Scarcity of work force ​> ​Lack of security and safety ​> ​Deficiency of surplus medical amenities ​> ​Consumer attitude ​> Absence of Supply Chain flexibility ​> ​Communication problems.

Conclusion

In order to combat the pandemic, Industry 4.0 can play a key role in lowering the effect of identified issues on retailers. For the successful administration of healthcare basics, trust and openness are required. To enhance services, suppliers, distributors and policy makers should make informed decisions during COVID-19 and other comparable events. Therefore, suggested guidelines and framework will offer upcoming directions for research in fields of pandemic check, business logistics management, and catastrophe administration. Balance in supply and demand is the most significant attribute as its percentage contribution is the maximum (27.52%) followed by Safety of employees (26.51%). Furthermore, the research then ranks these models on the basis of their attributes with the aid of TOPSIS. Among all these problems, Maintenance of an appropriate balance among supply and demand and lack of viability are identified as the prime most and common concern for retailers in supply chain management during the COVID-19 pandemic.

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基于AHP-TOPSIS混合MCDM技术的新冠疫情期间零售商供应链挑战与问题评估
框架和目标2019冠状病毒病疫情引发了关注,并增加了对治疗工具、卫生设备和卫生保健工作者福祉日常必需品的需求。本研究的目的是揭露供应商在提供有效服务时所遇到的营运问题。该研究还打算提供减少新冠病毒影响的工业4.0战略。采用多准则决策方法对各问题进行加权并分配优先级,以确定影响供应商的最关键参数。方法利用SCOPUS、Science Direct、谷歌Scholar等网站检索的相关文献,选取合适的关键词,对疫情暴发与供应链进行综合文献评价。为了获得更深入的见解,还使用了某些相关和适用的行业报告和博客。采用层次分析法对问题进行分析,并采用理想解相似性排序技术(TOPSIS)确定优先级。采用层次分析法计算权重,并将权重赋给各指标属性。结果我们认识到零售业存在的11个关键问题,并建议使用工业4.0技术来解决这些问题。当前的研究是利用两种多准则估计方法——层次分析法(AHP)和理想解相似性排序偏好法(TOPSIS)的混合组合来完成的。此外,最重要的问题是维持供需之间的适当平衡,然后缺乏生存能力。供应链问题的优先级由高到低排列,维持供需平衡;缺乏生存能力>缺乏政府资助>缺乏访问>缺乏信心>劳动力短缺>缺乏安全保障>剩余医疗设施不足;消费者态度>缺乏供应链灵活性>通信问题。为了对抗疫情,工业4.0可以在降低已识别问题对零售商的影响方面发挥关键作用。要成功地管理医疗保健基础,信任和开放是必需的。为了加强服务,供应商、分销商和决策者应在2019冠状病毒病和其他类似事件期间做出明智的决定。因此,该指南和框架将为防疫、企业物流管理、巨灾管理等领域的研究提供方向。供需平衡是最重要的属性,其百分比贡献最大(27.52%),其次是员工安全(26.51%)。然后,利用TOPSIS对这些模型的属性进行排序。在所有这些问题中,维持供需之间的适当平衡和缺乏生存能力被认为是零售商在2019冠状病毒病大流行期间供应链管理中最主要和最常见的问题。
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