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: |
021103 operations research
Multidisciplinary Process management Data collection Computer science business.industry Supply chain 0211 other engineering and technologies 02 engineering and technology Supplier evaluation lcsh:Computer applications to medicine. Medical informatics Engineering Procurement Software Categorization Order (business) 0202 electrical engineering electronic engineering information engineering lcsh:R858-859.7 020201 artificial intelligence & image processing Profitability index business lcsh:Science (General) lcsh:Q1-390 |
| 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 |
| Externí odkaz: |
|