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首页> 外文期刊>International Journal of Production Research >Multi-agent based dynamic scheduling optimisation of the sustainable hybrid flow shop in a ubiquitous environment
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Multi-agent based dynamic scheduling optimisation of the sustainable hybrid flow shop in a ubiquitous environment

机译：基于多功能的动态调度优化普遍存在环境中的可持续混合流量

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摘要

With the increased awareness of the market competition and protection of the environment, many studies have examined sustainable manufacturing, which combines lean production and sustainable performance, but there still exist barriers between the theories and the practices. This paper proposes a dynamic scheduling unit (DSU) with the multi-agent system (MAS) to build and formulate a kind of sustainable hybrid flow shop in a ubiquitous environment. The processing time, energy consumption and carbon emission are considered the sustainability indicators; and the machine failure, job inserting and job reworking are considered the disruption events. Then, a GA-based dynamic scheduling optimisation with variable priorities is proposed, including a weighted sum of indicators-genetic algorithm (WSI-GA) and an event-driven priority weights local search (EPW-LS) to dynamically generate the prescheduling and rescheduling solutions of the sustainable hybrid flow shop. Lastly, the proposed theories are applied to a computational case of part machining via the discrete event simulation method to demonstrate their validity and feasibility. The results show that the WSI-GA for prescheduling is superior to the referenced traditional priority-based genetic algorithms in the four different production modes and that EPW-LS for rescheduling can effectively improve the solutions of the preschedulings once disruption events occur.
机译：随着市场竞争的认识提高，许多研究已经审查了可持续的制造，结合了精益的生产和可持续性，但理论与实践仍存在障碍。本文提出了一种带有多助理系统（MAS）的动态调度单元（DSU），以在普遍存在的环境中构建和制定一种可持续的混合流量店。处理时间，能量消耗和碳排放被认为是可持续性指标;并且机器故障，作业插入和工作重新加工被视为中断事件。然后，提出了一种基于GA的动态调度优化，其具有可变优先级的可变优先级，包括指示符 - 遗传算法（WSI-GA）和事件驱动的优先级权重本地搜索（EPW-LS），以动态地生成预定型和重新安排可持续混合流量店的解决方案。最后，所提出的理论应用于通过离散事件仿真方法的零件加工的计算案例，以展示其有效性和可行性。结果表明，用于预定的WSI-GA优于四种不同的生产模式中参考的传统优先级遗传算法，并且用于重新安排的EPW-LS可以有效地改善一旦发生中断事件发生的预定程度。

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