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Research on bilateral assembly line optimization for man-robot collaboration based on multi-objective migration bird optimization algorithm
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AI
DOI：10.1108/RIA-07-2024-0150.png)
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Abstract
En 中文
PurposeWith the successive German Industry 4.0 strategies proposed, many collaborative robots are being used in manufacturing. The man-robot collaborative assembly model is now widely used in bilateral assembly lines. The purpose of this study is to systematically investigate the problem of balancing the man-robot collaborative bilateral assembly line by considering the workload to reduce the workload and increase productivity.Design/methodology/approachBased on optimizing the beat and cost, focusing on the balance of working time and load between stations, introducing a comprehensive smoothing index optimization objective and considering constraints such as the number of employees, robots and workload thresholds, a balanced multi-objective planning model of a man-robot serial collaborative bilateral assembly line with consideration of workload is established.FindingsThe bilateral assembly line balancing problem was solved using man-robot collaboration. The production smoothing index was optimized from 508.65 to 105.68, and the cycle time was optimized from 1,737 to 1,067, resulting in a 38.6% increase in productivity.Originality/valueThis study optimizes man-robot allocation and extends the bilateral assembly equilibrium model by optimizing the personnel load and the integrated smoothing index.
Keywords:
Man-robot collaboration
Workload
Bilateral assembly line balancing
Migrating bird optimization algorithm
Journal
R
IF:
4.4
Papers:
36
Citations:
296