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The paper aims at showing how a textile industry can select from a mix of products, the best products to be produced by using the customer’s point of view. The Fuzzy Algorithm for fashion industry is a tool developed to optimise the production and reduce losses and storage costs in the textile industry environment. As the textile industry has an expressive position as an employment intensive industry around the world, its health can be perceived by the ability of their managers in restricting the production to low costs limits, thus acquiring better sales and value to the products. The supply chain management must apply innovations and tools that can deal with these paradigms with dexterity. In a global source operation, the information that one product will be very well accepted by a group of customers with a given price is very welcome. In a sustainability scenario, the algorithm can promote savings in many factors such as: labour, electric energy, water and many other resources spent by the textile industries that have significant impact in economy and environment. Finally, this paper shows a different view to understand the customer's desire through linguistic variable processed in a Fuzzy Logic algorithm. The tool yields an index to the product and find out in a mix of products, which of them will be better accepted by the final customer. Keywords: Fuzzy Logic, Textile Industry, Production Optimization.
