Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Springer Optimization and Its Applications |
| Publisher | Springer International Publishing |
| Pages | 159-186 |
| Number of pages | 28 |
| DOIs | |
| Publication status | Published - 2008 |
Publication series
| Name | Springer Optimization and Its Applications |
|---|---|
| Volume | 16 |
| ISSN (Print) | 1931-6828 |
| ISSN (Electronic) | 1931-6836 |
Bibliographical note
Publisher Copyright:© Springer Science + Business Media, LLC 2008.
Keywords
- Fuzzy sets
- Hierarchy
- Multi-criteria
- Robotic systems
- TOPSIS
