Selection of an industrial robot for assembly jobs using multi-criteria decision making methods

Abstract

The paper proposes three multi-criteria decision-making (MCDM) methods for the selection

of an industrial robot for a universal, flexible assembly station, taking into consideration the

technical and performance parameters of the robot. Fuzzy versions of AHP and TOPSIS

methods as well as SMART were chosen from the variety of MCDM methods as they represent

different attitudes to analysis. In order to minimise the impact of the method applied on

the final decision, a list of results of the analyses has been developed and a final classification

has been made based on decision makers’ preferences concerning selected parameters of the

robot.