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首页> 外文期刊>Journal of Mechanical Engineering Research >An efficient hybrid approach based on multi agent system and emergence method for the integration of systematic preventive maintenance policies in hybrid flow-shop scheduling to minimize makespan
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An efficient hybrid approach based on multi agent system and emergence method for the integration of systematic preventive maintenance policies in hybrid flow-shop scheduling to minimize makespan

机译：一种基于多Agent系统和涌现方法的高效混合方法，用于在混合流水车间调度中集成系统的预防性维护策略，以最大程度地缩短工期

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This paper proposes a novel hybrid algorithm for the integration of systematic preventive maintenance policies in hybrid flow shop scheduling to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time and methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.
机译：本文提出了一种新颖的混合算法，用于在混合流水车间调度中集成系统的预防性维护策略，以最大程度地缩短制造周期。我们已经实施了一种解决问题的方法，以基于元启发法优化处理时间和方法。所提出的方法是受人体行为启发的。这种杂交是在多主体系统与人体灵感之间的杂交，尤其是遗传学。我们的方法的有效性已在本文中反复得到证明。提议的方法适用于三个预防性维护策略。这些策略旨在最大程度地提高可用性或在生产链中保持最低的可靠性。结果表明，我们的算法优于现有算法。我们假定机器可能在生产计划期间定期不可用。

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