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The main aim of this study is to explore the challenges faced by the Indian apparel supply chain in the wake of COVID-19 to identify the factors that are being affected and build a multilevel hierarchy model to prioritize the factors and understand their inter-relationships. An intensive literature review was conducted, and many experts from apparel supply chain were consulted. The study was conducted by the help of a survey sent to these experts from different echelons in the apparel industry. The data was then analysed using total interpretive structural modelling (TISM). A multi-level hierarchy TISM model and MICMAC (matrice d’impacts croisés multiplication appliquée á un classment) analysis were used to establish a relationship between the identified factors. The “difficulty in export order fulfilment” factor is found to be the most sensitive factor, which means that it is present in the TISM model hierarchy in a place that it is affected by most of the factors and in-turn impacts factors like operational cost, change in marketing strategy, change in consumer buying pattern, which impact profitability and cut-off in employment. “Cut-off in employment” is found to be most impacted by all other factors in the TISM model.

A TISM and MICMAC Analysis of Factors During the COVID-19 Pandemic in the Indian Apparel Supply Chain