Fuzzy multi-criteria evaluation of industrial robotic systems using topsis

Cengiz Kahraman, Ihsan Kaya, Sezi Çevik, Nüfer Yasin Ates, Murat Gülbay

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9 Atıf (Scopus)

Özet

Industrial robots have been increasingly used by many manufacturing firms in different industries. Although 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. The hierarchical structure is a good approach to describing a complicated system. This chapter proposes a fuzzy hierarchical technique for order preference by similarity ideal solution (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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıSpringer Optimization and Its Applications
YayınlayanSpringer International Publishing
Sayfalar159-186
Sayfa sayısı28
DOI'lar
Yayın durumuYayınlandı - 2008

Yayın serisi

AdıSpringer Optimization and Its Applications
Hacim16
ISSN (Basılı)1931-6828
ISSN (Elektronik)1931-6836

Bibliyografik not

Publisher Copyright:
© Springer Science + Business Media, LLC 2008.

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