Application of CRITIC and ROV Method for Robot Selection Problem

The use of robots in industries for enhanced productivity of systems is highly recommended due to their high accuracy, heavy load carrying capacity and better repeatability. However, with the advancement in technology, a large number of robots are available to perform desired operations which make the selection of robots among a large variety of available alternatives a complicated task. Multi-criteria decision making (MCDM) methods are efficient and well-organized scientific techniques that are used to resolve this kind of problem. Several MCDM techniques can be used to solve the robot selection problem. However, this work intends to explore two MCDM methods named criteria Importance through Inter criteria Correlation (CRITIC) method and Range of Value (ROV) method to solve the robot selection problem. CRITIC is a less explored MCDM method and therefore it is used in this work to compute weights of the decision criteria. Subsequently, ROV, a relatively lesser enucleated MCDM method, is employed in this work to rank available robots. A sample problem taken from the literature is solved using these methods and the ranks so obtained are compared with those reported in the literature. The result so obtained shows an implementation of CRITIC and ROV method is easy as well as efficient to solve the robot selection problem.