Abstract
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.
Highlights
Mandal and Deshmukh (1994) presented an of raw materials forms a large amount of total cost of Interpretive Structural Modeling (ISM) as a technique for products
The result of this research is the ranking of effective criteria in selection of suppliers in the textile industry in Iran. 19 criteria were
Ali-abad cotton factory located in Golestan was assigned the first rank which matched with the quality-oriented strategy of Mazandaran textile factory
Summary
They used fuzzy logic and linguistic values for ranking and weighting of criteria. Xia and Wu (2007) considered the supplier selection problem in accompanying the discount conditions They believed that the supplier selection process is a multi criteria decision making problem which when discount is included into it, it will become more complex. They applied a combination of AHP, Rough Sets Theory, and multi-objective complex integer programming for concurrently determination of number of colleague suppliers and amount of assigned order to each of them in case of multi-product and limited capacity
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