Decision Models for Selection of Industrial Robots—A Comprehensive Comparison of Multi-Criteria Decision Making

Due to increased demands of production capacity and higher quality requirements, industries are automating at a fast pace. Industrial robots an important component the industrial automation ecosystem. However, selection appropriate is challenging task due sheer number alternatives present their varied specifications. The various characteristics or attributes that need consideration before optimal robot for given application found be conflicting in nature. Thus, this paper, several multi-criteria decision-making (MCDM) methods deployed select depending on application. Three different problems solved paper by using Simple Additive Weighing (SAW), Technique Order Preference Similarity Ideal Solution (TOPSIS), Linear Programming (LINMAP), VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Elimination Choice Translating Priority III (ELECTRE-III), Net Flow Method (NFM).