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Evaluating and Selecting Supplier in Textile Industry Using Hierarchical Fuzzy Topsis
In textile industries, the costs of raw material or cotton make the main part of the prime cost. Reduction of purchasing costs is one the most important issues to bring down the selling price. In this paper, the Mazandaran textile factory, one of the biggest textile industrial units, in Iran is considered for the cotton supplier selection problems. The effective criteria for ranking the suitable suppliers are evaluated using hierarchical fuzzy TOPSIS model. Based on the results, the quality of cotton is considered as the most important criterion in evaluation of cotton suppliers. Also, among different provinces, cotton produced in Golestan is considered as the best quality in the region. Ali-abad cotton factory located in Golestan ranked first which matched with the quality-oriented strategy of Mazandaran textile factory. Supplier's enough storage to meet the customers' regular and emergency needs is another important criterion. In addition, the flexibility, financial stability and strength and pricing and payment policies play critical roles in selection of the suppliers.
Keywords
Supply Chain, Textile, Supplier, Fuzzy Logic, Topsis
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