Author/Authors :
YÜCEL, Atakan Yıldız Teknik Üniversitesi - Fen Bilimleri Enstitüsü - Endüstri Mühendisliği Anabilim Dalı, Turkey , GÜNERİ, Ali Fuat Yıldız Teknik Üniversitesi - Makine Fakültesi - Endüstri Mühendisliği Bölümü, Turkey
Title Of Article :
APPLICATION OF ADAPTIVE NEURO FUZZY INFERENCE SYSTEM TO SUPPLIER SELECTION PROBLEM
Abstract :
Supplier selection is a key factor for firms in achieving its goals in supply chain management. To buildeffective relationships and gain competitive advantage, firms should select best supplier(s) according to its needs by applying proper methods and appropriate criteria. Supplier selection problem includes tangible and intangible factors such as quality, cost, relationship closeness and delivery in practice. This issue makes the problem as a Multi-Criteria Decison Making (MCDM) problem. In this paper, an approach that based on neural network and fuzzy logic named as Adaptive Neuro Fuzzy Inference System (ANFIS) is presented for supplier selection problem. The proposed model takes the learning advantage of neural networks and integrates this with fuzzy logic that represents human reasoning mechanism effectively. The basics of ANFIS are illustrated and an algorithm based on the method is proposed for supplier selection problems in the paper.
NaturalLanguageKeyword :
Supplier Selection , Adaptive Neuro Fuzzy Inference System
JournalTitle :
Sigma Journal Of Engineering and Natural Sciences
