Designing the resilience model of Iran's machine-made carpet supply chain: Fuzzy total interpretive structural modeling approach

Supply chains must be resilient to deal with disruptions. Previous researches have mainly examined resilience in 3 stages, and researches that have examined resilience in 5 stages have not specified the sequence of its stages and have not specified the critical success factors in terms of the 5 stages of resilience. This research was done to determine the sequence of 5 stages of resilience, identify the critical success factors in each stage and model the factors in each stage. The statistical population of this research is the supply chain experts of Iran's machine-made carpet industry; judgmental and snowball sampling method is used, and the sample size was determined in the first stage based on theoretical saturation equal to 18 people and in the second stage equal to 10 people. To analyze the data, the method of thematic analysis and fuzzy total interpretative structural modelling approach has been used. The results showed that there are 27 critical success factors for supply chain resiliency, that are 20, 19, 20, 6 and 6 critical success factors in each of the five stages, respectively. Also, the factors of commitment, leadership, financial strength, trust, visibility and blockchain programming are of great importance in supply chain resiliency. For this purpose, it is recommended to choose suitable business partners, use supply chain management teams and use blockchain technology.