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Rank transformation xlstat
Rank transformation xlstat




rank transformation xlstat rank transformation xlstat

This is an open access article distributed under the terms and conditions of the license. © 2019 by the authors licensee Growing Science, Canada. The final results affirm that Grey integrated approach could be efficient and far more precise than the existing models for overcoming the supplier selection and evaluation obstacles in the supply chain management. In the case study, the consistency rate of the models is tested in order to verify the quality of experts’ judgments. Then, the range of criteria is selected based on the company requirements and the experts’ interview. The study starts with reviewing the previous works of multi-criteria decision-making MCDM methods and the list of existing criteria evaluation in supplier selection. The present study carries out a novel grey integrated multi-criteria approach for enhancing the supplier procedure within Textile Company with the help of the grey analytical hierarchy process G-AHP model for weighting the set of criteria, and the grey weighted aggregated sum product assessment WASPAS-G model for prioritizing the suppliers. This paper tackles the supplier selection problem in a Turkish Textile Company. For any organization, the process of selecting the best supplier holds variable multilayered complications involving quantitative and qualitative criteria. Supplier selection as a vital step of supply chain management is a multi-criteria decision-making issue. Supplier selection is one of the most essential activities in purchase management and plays a crucial role in the production phase. Developing a novel Grey integrated multi-criteria approach for enhancing the supplier selection procedure: A real-world case of Textile Company






Rank transformation xlstat