Authors:
Ali İhsan Boyacı
;
Tuğçen Hatipoğlu
and
Hatice Esen
Affiliation:
Kocaeli University, Turkey
Keyword(s):
Supplier Selection, Multicriteria Decision Making, Fuzzy LINMAP.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Complex Fuzzy Systems
;
Computational Intelligence
;
Computer-Supported Education
;
Domain Applications and Case Studies
;
Fuzzy Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Industrial, Financial and Medical Applications
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
The increasing competition forces companies to use the capital more effectively and using suppliers which operate cheaper and with higher quality. Due to that, it is crucial to select the right suppliers. Supplier selection is a decision making problem that involves quantitative and non-quantitative, conflicting criteria. In The Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP), all the decision data are known precisely or given as crisp values. But the uncertainty in the real life problems makes decision making more difficult. İn these situations, the complex situation varying with respect to decision makers can be solved by Fuzzy logic. Because of that, Fuzzy LINMAP has been used to solve the problem. The main aim of this study is to provide an analytical approach to decision makers for them to make objective decisions. Thus, supplier alternatives and selection criteria are determined. And a fuzzy LINMAP model is developed for supplier evaluation and
selection of a company in automotive sector.
(More)