Supplier evaluation and categorize with combine Fuzzy Dematel and Fuzzy Inference System

Autor: Mehrzad Navabakhsh, Elahe Ashtarinezhad, Amir Homayoon Sarfaraz
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Data in Brief, Vol 18, Iss, Pp 1149-1156 (2018)
Data in Brief
ISSN: 2352-3409
Popis: Nowadays, the evaluation of the suppliers in order to improve the total performance of supply chain and increase the power of competitiveness, satisfaction and profitability of the company are considered important and significant issues at the organizations. The main objective of this research is to help oil and gas industry in order to evaluate and categorize the suppliers, using Fuzzy Inference System. The present research is empirical in terms of purpose and descriptive-survey in terms of data collection. Three outstanding managers of procurement department of the company under examination have been selected. With regard to the fact that, the number of identified Sub-indices to categorize the suppliers are too many in relevant literature, the Fuzzy Dematel method was used to determine the weight and importance of each of the Sub-indices suppliers. In the present paper, for evaluate and categorize the suppliers has been used from Fuzzy Inference System, with MATLAB Software.
Databáze: OpenAIRE
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