A Grey Relation Approach for Selection of Industrial Robot

Abstract

The necessity of robots in industries, especially, manufacturing, logistics, and similar applications has reached the zenith. Therefore, in a manufacturing environment, a crucial problem is to select a mechanized robot for carrying out certain industrial tasks. The latest development in automation has enhanced the use of robots with distinctive abilities, attributes, and requirements. The competitiveness of a company in relation to productivity and quality of products is unfavorably affected through inappropriate choice of robots. For decision makers, it is hard to decide the most suitable robot reflecting on the numerous contradictory qualitative and quantitative criteria. Hence, Grey relational analysis (GRA) is an effective estimation approach, which is internationally employed in multi criterion decision making (MCDM) problems, mainly owing to ambiguity in decisions that has been proposed in this research. A few robot selection parameters were considered, and GRA was employed to evaluate the best robot as per grey relational grade. � 2018 IEEE.