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Evaluating and Selecting Supplier in Textile Industry Using Hierarchical Fuzzy Topsis

机译:层次模糊评判法在纺织行业供应商评价与选择中的应用。

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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.
机译:在纺织工业中,原材料或棉花的成本是主要成本的主要部分。降低采购成本是降低售价的最重要问题之一。在本文中,伊朗最大的纺织工业单位之一Mazandaran纺织工厂被认为存在棉花供应商选择问题。使用分层模糊TOPSIS模型评估对合适的供应商进行排名的有效标准。根据结果​​,棉花质量被认为是评估棉花供应商的最重要标准。此外,在不同的省份中,哥列斯坦生产的棉花被认为是该地区质量最好的棉花。位于Golestan的Ali-abad棉厂排名第一,与Mazandaran纺织厂的质量战略相吻合。供应商足够的存储空间来满足客户的常规和紧急需求是另一个重要标准。此外,灵活性,财务稳定性,实力以及定价和付款政策在选择供应商方面也起着至关重要的作用。

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