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首页> 外文期刊>Matematika >Single-machine Integrated Production Preventive Maintenance Scheduling: A Simheuristic Approach
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Single-machine Integrated Production Preventive Maintenance Scheduling: A Simheuristic Approach

机译：单机综合生产预防维护调度：一种兴趣的方法

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Preventive maintenance (PM) planning becomes a crucial issue in the real world of the manufacturing process. It is important in the manufacturing industry to maintain the optimum level of production and minimize its investments. Thus, this paper focuses on multiple jobs with a single production line by considering stochastic machine breakdown time.? The aim of this paper is to propose a good integration of production and PM schedule that will minimize total completion time. In this study, a hybrid method, which is a genetic algorithm (GA), is used with the Monte Carlo simulation (MCS) technique to deal with the uncertain behavior of machine breakdown time. A deterministic model is adopted and tested under different levels of complexity. Its performance is evaluated based on the value of average completion time. The result clearly shows that the proposed integrated production with PM schedule can reduce the average completion time by 11.68% compared to the production scheduling with machine breakdown time.
机译：预防性维护（PM）规划成为制造过程现实世界中的至关重要问题。它在制造业中非常重要，以保持最佳的生产水平，并最大限度地减少其投资。因此，通过考虑随机机器击穿时间，本文侧重于单个生产线的多个作业。本文的目的是提出良好的生产和PM计划的良好集成，从而最大限度地减少总完成时间。在该研究中，一种混合​​方法，即遗传算法（GA），用于处理机器击穿时间的不确定行为的蒙特卡罗仿真（MCS）技术。在不同层次的复杂性下采用并测试确定性模型。它的性能是根据平均完成时间的值进行评估。结果清楚地表明，与机器击穿时间的生产调度相比，拟议的PM情况综合生产可以将平均完成时间减少11.68％。

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