AHP-based prioritising of cost challenges of supply chain due to COVID-19

Q4 Business, Management and Accounting
O. P. Mishra, Prashant Mishra
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引用次数: 0

Abstract

The outbreak of COVID-19 made the world act differently in business. Preventive steps taken by governments to shut down the road, rail, air and water transportation disrupted supply chains of most of the businesses. Whereas supply chains of essentials like food and pharmaceutical kept working in stressed environment. This paper is highlighting the cost of supply chain due to the outbreak of COVID-19 as a pandemic. The main stakeholders of a supply chain such as supplier, manufacturer, distributor, retailer and customer were tweaked to protect people from infection. New norms such as sanitisation, social distancing, use of personal protective gears increased the lead time and escalated the cost of supply chain management significantly. AHP has been used to model the cost of supply chain management citing a case study of three key industries. It has been seen that the restricted human movement remained pivotal in sky rocketing cost of supply chain. © 2022 Inderscience Enterprises Ltd.
基于ahp的供应链成本挑战排序
2019冠状病毒病的爆发使世界的商业行为发生了变化。政府采取的关闭公路、铁路、航空和水运的预防性措施扰乱了大多数企业的供应链。然而,食品和药品等必需品的供应链一直在紧张的环境中工作。本文强调了由于COVID-19大流行爆发而导致的供应链成本。供应链的主要利益相关者,如供应商、制造商、分销商、零售商和客户,都进行了调整,以保护人们免受感染。消毒、保持社交距离、使用个人防护装备等新规范增加了交货时间,并大大增加了供应链管理的成本。以三个关键行业为例,运用层次分析法对供应链管理成本进行建模。人们已经看到,限制人员流动仍然是导致供应链成本飙升的关键因素。©2022 Inderscience Enterprises Ltd
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来源期刊
International Journal of Multicriteria Decision Making
International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management
CiteScore
0.70
自引率
0.00%
发文量
9
期刊介绍: IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields
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