Developing Fuzzy-AHP-Integrated Hybrid MCDM System of COPRAS-ARAS for Solving an Industrial Robot Selection Problem

Robots are one of the most commonly used automated material handling equipment (MHE) in an industry, installed to perform a variety hazardous and repetitive tasks, e.g., loading, unloading, pick-and-place operations, etc. The selection appropriate industrial robot is influenced by number subjective objective factors that define its characteristics working accuracy. As result, can be regarded as multi-criteria decision-making problem. In this article, new hybrid MCDM model combining COPRAS ARAS developed execute process based on three alternatives five criteria. Fuzzy analytic hierarchy integrated compute parametric weights. It discovered Robot 3 1 coming out best worst alternative robots from model. Finally, comparative analysis among eight other tools sensitivity also performed assess stability robustness applied tools.