Decision support methodology for the selection of industrial robots using BWM and TOPSIS methods

Abstract

This paper presents a methodology for assisting the decision of selecting an industrial robot from a set of alternatives. The approach is based on the use of a minimal set of robot characteristic parameters, as selection criteria. For the selection of the solution from the set of alternatives the BWM method is used as a first step to calculate the weights of the criteria. The weights resulting from the BWM application are then used to rank the alternatives by means of a simple additive weighting approach. The same weights calculated with BWM are then used to achieve the hierarchy of alternatives using the TOPSIS method. Both approaches ultimately showed the same option as the best of the set of alternatives.