Grey Wolf Algorithm for Human-Robot Collaborative Disassembly Line Balancing Problem Subject to Dangerous Components

Disassembly is a critical remanufacturing process to obtain reusable components from discarded products. Due to the limitation of disassembly by humans or robots alone, the human-robot collaborative disassembly method is used to obtain components. Three types of components are considered in this pap...

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Bibliographic Details
Published in2022 IEEE International Conference on Networking, Sensing and Control (ICNSC) pp. 1 - 6
Main Authors Li, Chong, Guo, Xi Wang, Wang, Jiacun, Qin, Shujin, Qi, Liang, Tang, Ying
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.12.2022
Subjects
Collaboration
disassembly line balancing problem
disassembly profit
gray wolf optimizer algorithm
human-robot collaboration
Mathematical models
Parallel processing
Petri nets
Process control
Robot sensing systems
Sensors
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Summary:Disassembly is a critical remanufacturing process to obtain reusable components from discarded products. Due to the limitation of disassembly by humans or robots alone, the human-robot collaborative disassembly method is used to obtain components. Three types of components are considered in this paper: dangerous, delicate and normal. Robots disassemble dangerous components, humans disassemble delicate components, and both humans and robots can disassemble normal components. A mathematical model that maximizes disassembly profit is established. An improved gray wolf optimizer algorithm to solve the single-product disassembly line balancing problem is proposed. The algorithm is compared with the migratory bird optimization algorithm and the brain storming optimization algorithm to test its performance. Experimental results show that the proposed algorithm has a faster convergence speed.
DOI:10.1109/ICNSC55942.2022.10004166