A Decision Support System for Robot Selection based on Axiomatic Design Principles

Abstract

Robotic Systems started to replace the humans in parallel with the development of the robotic technology applications. These robotic systems have complex structure; because they comprise many sub-systems operating in an integrated manner. Therefore, determination of the most suitable industrial robot arm for a production system requires a scientific and systematic methodology. In this study, Axiomatic Design (AD) methodology, which forms a scientific basis for the design and decision-making processes, is employed for the selection of the most suitable industrial robot arm. Based on the literature, the design parameters of industrial robot arms are determined. A decision support system is developed to make the most suitable selection for a certain design by using the information axiom of AD.