Evaluation of supply chain performance with Grey Relational Analysis: An application at automotive sector
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Abstract (EN)
It is crucial for competition in globalizing world to determine criteria that placed emphasis at relations of firms in a supply chain and become their performances in a good way based on the criteria. In the automotive industry which has a huge economic magnitude, determination of supply chain performances is significant step to improve the peformances of firms in this industry. In this study, it was aimed to uncover the criteria that placed emphasis on dealings between suppliers and seller of spare parts in an automotive industry and evaluate the suppliers' performances depend on these criteria. Firstly, find criteria that would be important for the industry by expert opinion, secondly, question the importance level of these criteria to retail firms by face to face survey to determine ten most important criteria for the industry. The performances of the most effective twelve firms as supplier are evaluated based on these criteria. Grey Relation Analysis (GRA) that shows good performances even for small data in ambiguous environment is used to evaluate the performances with the criteria of price relevance of product, product warranty, easy return policy, promotion of new products, stock adequacy, daily product shipment, ratio of discount, practicality of the ordering system, product variety and sending orders faultless. Keywords: Grey Relational Analysis, Automotive Sector, Supply Chain Performance
Author
İbrahim Akbulut
How to Cite
İbrahim Akbulut (Master Thesis). Evaluation of supply chain performance with Grey Relational Analysis: An application at automotive sector, 2016, Uşak University.
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