Balancing Heterogeneous Assembly Line with Multi-Skilled Human-Robot Collaboration Via Adaptive Cooperative Co-Evolutionary Algorithm

Published: Jan. 1, 2024

Developing manufacturing systems that consider workforce heterogeneity and inclusiveness is a significant emerging trend in human-centred production. In this context, collaborative robots (cobots), designed specifically to assist human operations, provide unparalleled support diverse range of semi-skilled workers. However, there remains deficiency effective production scheduling methods can help industrial practitioners manage the increased complexity heterogeneous human-robot collaborations. This study introduces Assembly Line Worker Integration Balancing Problem with Multi-skilled Human-Robot Collaboration (ALWIBP-mHRC) model: an innovative method optimise task allocation among workforce, including workers cobots, thereby improving productivity cost efficiency. A key aspect approach multi-skilled collaboration (mHRC) mechanism capable selecting from five assembly/collaboration modes based on specific requirements skill availability, thus maximizing resource-skill complementarity. Moreover, adaptive multi-objective cooperative co-evolutionary algorithm (a-MOCC) introduced, featuring evolutionary strategy Q-learning (Q-Coevolution). We demonstrate superior performance proposed compared three established metaheuristic algorithms benchmark tests, underscoring its effectiveness addressing environments. work underscores potential cobots mitigate gaps assembly systems, laying groundwork for future research strategies focused enhancing productivity, inclusivity, adaptability dynamically changing labour market.

Language: Английский

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Multi-Stage Game Problem in Optimization of Metro-Based Underground Logistics Network: A Case Study of Beijing

Published: Jan. 1, 2024

Language: Английский

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Sustainable logistics development strategy based on SWOT and analytic hierarchy process

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(10), P. e0312560 - e0312560

Published: Oct. 23, 2024

Due to the implementation of sustainable green development strategy, study uses competitive situation method and analytical hierarchy process logistics enterprises conduct structural analysis weight calculation factor indicators for their strategies. Afterwards, exponential smoothing prediction was used data. Moreover, through comparative indicator evaluation system, average weights advantageous factors were found be 0.0232, 0.1102, 0.0522, 0.0468, respectively. The energy consumption, transportation volume, turnover increased by 68.9% 52.3% in 2022, respectively, which had a significant impact on industry. It has been demonstrated that strategy based enterprise analytic is both feasible superior. Furthermore, this potential enhance environmental benefits economy society.

Language: Английский

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Balancing heterogeneous assembly line with multi-skilled human-robot collaboration via Adaptive cooperative co-evolutionary algorithm

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 91, P. 101762 - 101762

Published: Nov. 10, 2024

Language: Английский

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