Article ID: | iaor20082257 |
Country: | Netherlands |
Volume: | 52 |
Issue: | 4 |
Start Page Number: | 414 |
End Page Number: | 433 |
Publication Date: | May 2007 |
Journal: | Computers & Industrial Engineering |
Authors: | Kahraman Cengiz, evik Sezi, Ates Nfer Yasin, Glbay Murat |
Keywords: | fuzzy sets |
Industrial robots have been increasingly used by many manufacturing firms in different industries. While the number of robot manufacturers is also increasing with many alternative ranges of robots, potential end-users are faced with many options in both technical and economical factors in the evaluation of the industrial robotic systems. Industrial robotic system selection is a complex problem in which many qualitative attributes must be considered. These kinds of attributes make the evaluation process hard and vague. Hierarchical structure is a good approach to describe a complicated system. This paper proposes a fuzzy hierarchical TOPSIS model for the multi-criteria evaluation of the industrial robotic systems. An application is presented with some sensitivity analyses by changing the critical parameters.