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.
Dimensional analysis for investment selection in industrial robots
BRAGLIA, MARCELLO;GABBRIELLI, ROBERTO
2000-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
