Assessing dairy supply chain vulnerability during the Covid-19 pandemic

Karwasra, Kritika, Soni, Gunjan, Mangla, Sachin Kumar and Kazancoglu, Yigit (2021) Assessing dairy supply chain vulnerability during the Covid-19 pandemic. International Journal of Logistics Research and Applications. ISSN 1469848X (In Press)

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Frequent occurrence of disruptions in the supply chain due to the Covid-19 pandemic has increased the supply chain vulnerability (SCU), which affects the performance and revenue generation of firms. If the commodity we are dealing with in a supply chain is of a perishable nature, then the situation becomes more complicated, as such products need restrictive storage and transportation facilities. The dairy supply chain is one such perishable product supply chain. This paper, thus, proposes a method to identify key drivers of SCU in a dairy SC followed by establishing a model using interpretive structural modeling (ISM) and a graph theory approach (GTA) to calculate the SCU Index. It is important to quantify the SCU for identifying major factors affecting it and then developing techniques to mitigate it. In order to quantify the SCU, first, the ISM model is used to identify the interrelation between drivers, and then an adjacency matrix is formed by using the interdependence, thereby adding inheritance of each driver. A variable permanent matrix is formed to calculate the SCU Index for the SC. This proposed approach will help managers in mitigating the adverse effects of COVID-19 on the dairy supply chain.

Item Type: Article
Keywords: Supply chain vulnerability | Interpretive structural | Modeling | Graph theory | Approach | Covid-19 | Disruption
Subjects: Social Sciences and humanities > Business, Management and Accounting > Industrial relations
Social Sciences and humanities > Social Sciences > Health (Social sciences)
JGU School/Centre: Jindal Global Business School
Depositing User: Mr. Syed Anas
Date Deposited: 11 Feb 2022 06:25
Last Modified: 11 Feb 2022 06:25
Official URL:


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