Designing an Anti-fragile Supply Chain in the Textile Industry under Conditions of Uncertainty Using the Fuzzy BWM and TOPSIS

The rapid changes and transformations of the markets and the complexity and disorder of the market environment and the conditions of the economic situation in the country due to the sanctions have made it necessary to pay attention to anti- fragility approach in the industries. The textile industry is one of the strategic industries that should be considered and rewarded due to the large domestic consumption market. Various textile industries can quickly adapt to new conditions and maintain and even improve their competitive value in a safe and stable condition. The current research was conducted with a review of the literature in order to achieve anti-fragility of textile industries throughout the supply chain. In this way, the anti- fragility components were first identified and weighed using the updated best-worst model technique under conditions of uncertainty. Then, by reviewing the literature of the textile industry and interviewing the experts of this industry, stressful factors were identified and evaluated using the TOPSIS method in order to identify and rank the most important factors that disrupt anti-fragility. Finally, the results of the research showed that the components: unexpectedness, sufficient supervisors and redundancy are the most important components. Also, the results obtained from the TOPSIS method showed that the lack of access to foreign capital and the main export markets, the wear and tear of the machinery of the spinning chain industry, and the import of clothing from low-cost producing countries are the most important in the supply chain of the textile industry.

Keywords:

Supply Chain anti- fragility , textile industry , Anti-fragility theory , Fuzzy BWM , TOPSIS