Sustainability Appraisement of Industrial Robots by GRA for Real Automation Environment

Abstract

A knowledge-based tool for executing the managerial decision-making process is presented in this work. The work evaluated the significant robot i.e. industrial machines for sustainably handling the real time manufacturing environment. The presented tool integrates the grey sets theory with grey relational approach (GRA) to support the decision-making process for opting most significant industrial robot. The performance mapping of industrial robots by GRA under grey set theory is presented for defining a sustainable real automation environment. The work offers the essence of both grey set theory and grey relational approach under a sole ring. The work implicates grey sets theory to capture the uncertainties associated with the evaluation of robot measures and implicated GRA to recognize the most valuable robot alternative. The proposed tool is developed by categorizing the list of qualitative and quantitative characteristics; which links the robot evaluation properties. The work attempts to draft a knowledgeable tool for effectively executing manufacturing activities by the robots.