首页|Researchers at School of Mechanical Engineering Target Robotics (Cobot selection using hybrid AHP-TOPSIS based multi-criteria decision making technique for fuel filter assembly process)
Researchers at School of Mechanical Engineering Target Robotics (Cobot selection using hybrid AHP-TOPSIS based multi-criteria decision making technique for fuel filter assembly process)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on robotics are discussed in a new report. According to news originating from Vellore, India, by NewsRx correspondents, research stated, "The choice of a suitable collaborative robot (cobot) for a real-time industrial process is one of the obstacles to effective robot implementation in terms of energy and cost." Our news journalists obtained a quote from the research from School of Mechanical Engineering: "The cobot selection process for an application have become more complex due to increasing sophisticated features and capabilities in cobots offered by the manufacturers. The paper presents a hybrid Multi- Criteria Decision-Making (MCDM) technique based on Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approaches for selecting cobots for fuel filter assembly operation. The product design methodology, manufacturing method, and associated cost are directly influencing the decision on cobot selection. The most appropriate robot to accomplish the desired task at the lowest possible cost and capability can be selected by AHP with prospective criterion weight for subsequent processing. The TOPSIS approach orders alternatives based on the prominence of criteria. A diesel fuel filter assembly process case was considered for validating the proposed technique of cobot selection process."
School of Mechanical EngineeringVelloreIndiaAsiaEmerging TechnologiesMachine LearningRobotRobotics
NETL
NSTL
