Fuzzy multi-criteria evaluation of industrial robotic systems

Cengiz Kahraman, Sezi Çevik*, Nüfer Yasin Ates, Murat Gülbay

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

202 Citations (Scopus)

Abstract

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 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.

Original languageEnglish
Pages (from-to)414-433
Number of pages20
JournalComputers and Industrial Engineering
Volume52
Issue number4
DOIs
Publication statusPublished - May 2007

Keywords

  • Fuzzy sets
  • Multi-criteria
  • Robotic systems
  • TOPSIS

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