Article ID: | iaor20012667 |
Country: | United Kingdom |
Volume: | 38 |
Issue: | 18 |
Start Page Number: | 4843 |
End Page Number: | 4848 |
Publication Date: | Jan 2000 |
Journal: | International Journal of Production Research |
Authors: | Braglia Marcello |
Keywords: | robots |
Investment evaluation and selection of industrial robots is a complex multi-criteria decision-making task. This paper considers the possibility of applying to the robot selection problem a known mathematical method based on Dimensional Analysis (DA) theory. It is shown how it is possible to obtain an easy, efficient and robust decision-making support system which overcomes all attribute dimension problems. In particular, the robustness of the DA approach when compared with judgements made by a group of experts concerning different factors and weights, is evaluated. DA low sensitivity is compared with a weighted-point decision method found in the literature.