Technical note Dimensional analysis for investment selection in industrial robots

摘要

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