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Title Human-robot collaborative disassembly line balancing considering the safe strategy in remanufacturing
ID_Doc 9668
Authors Xu, WJ; Cui, J; Liu, B; Liu, JY; Yao, BT; Zhou, ZD
Title Human-robot collaborative disassembly line balancing considering the safe strategy in remanufacturing
Year 2021
Published
DOI 10.1016/j.jclepro.2021.129158
Abstract Remanufacturing is an important method to realize resource saving and circular economy. Disassembly is a vital step of remanufacturing and it is always finished by manual labor which is low efficiency. Although robotic disassembly covers the shortages of manual disassembly, it is still difficult for the robots to independently finish the disassembly process without the operator's assistance. The human-robot collaborative disassembly is being paid increasing attention and the human-robot collaborative disassembly line balancing is to assign suitable disassembly tasks to each human-robot collaborative disassembly workstation in a balanced manner. In humanrobot collaborative disassembly, the operator's safety should be considered when the robot collaboratively executes the disassembly tasks with the operator. In this paper, disassembly information model of human-robot collaborative disassembly considering the safe strategy is studied. After that, this paper solves the humanrobot collaborative disassembly line balancing problem using the improved discrete bees algorithm. To verify the proposed method, case study based on a bearing coupler is carried out. The results show the proposed improved discrete bees algorithm can generate the optimal solutions of human-robot collaborative disassembly line balancing problem considering the safe strategy and finds better solutions compared with the other optimization algorithms in terms of running time, average generational distance and Pareto fronts.
Author Keywords Human-robot collaborative disassembly; Disassembly line balancing problem; Remanufacturing; Safe strategy; Bees algorithm
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000723695600007
WoS Category Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences
Research Area Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology
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