An integration of multi-objective goal programming and linear assignment models based on grey relational analysis for the collaborative robot assignment problem in Human-Robot Collaboration (HRC): An application of industry 5.0
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Creator 1. Marrisa Kimaporn
2. Wuttinan Nunkaew
Title An integration of multi-objective goal programming and linear assignment models based on grey relational analysis for the collaborative robot assignment problem in Human-Robot Collaboration (HRC): An application of industry 5.0
Publisher Faculty of Engineering, Khon Kaen University
Publication Year 2568
Journal Title Engineering and Applied Science Research
Journal Vol. 52
Journal No. 1
Page no. 90-104
Keyword Cobots, Collaborative robots, Cobot assignment problem, Lexicographic goal programming model, Grey relational analysis
URL Website https://ph01.tci-thaijo.org/index.php/easr/index
Website title Engineering and Applied Science Research
ISSN 2539-6161
Abstract This research presents a novel two-step assignment method for forming cobot workstations to facilitate collaboration between humans and cobots, in alignment with the Industry 5.0 concept. The method is based on Grey Relational Analysis (GRA) to address limitations in existing cobot task allocation approaches, which typically focus on single-objective optimization. The first step involves a lexicographic goal programming model with dual objectives, optimizing cobot-job and job-cobot assignments. These objectives aim to maximize the mean of the total grey relational grade for both assignments, resulting in optimal cobot-job pairings. In the second step, the integrated GRA assignment model determines the appropriate worker for each cobot set. An illustrative example and comparative analysis demonstrate the advantages of the proposed method over traditional approaches.
Engineering and Applied Science Research

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