Application of the TOPSIS Method in Yarn Procurement for the Handloom Sector

In the handloom industry, the supply of raw materials for each product varies depending on their type. The availability, affordability, and sourcing play a crucial role in the supply chain. The present work discusses the importance of the weightage of the various factors for the raw material supply chain. Technique for Order Preference by Similarity to the Ideal Solution Method (TOPSIS) is a mathematical tool that systematically identifies handloom weavers' preferred sourcing points for the raw material supply chain. It is observed that direct procurement from the local market is the preferred sourcing location. TOPSIS's proximity index has been updated in sensitivity analysis, and certain elements' weightage (global weight) has been raised. The weightage of the evenness parameter does not affect the sourcing points. In contrast, the increase in global weight of count variation and cost parameters changes the sourcing points. In those cases, Mahajan is the weavers' preferred solution for yarn purchasing.