首页> 外文会议>European Modeling and Simulation Symposium >SIMULATION MODELS TO SUPPORT GALB HEURISTIC OPTIMIZATION ALGORITHMS BASED ON RESOURCE BALANCING BASED ON MULTI OBJECTIVE PERFORMANCE INDEX
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SIMULATION MODELS TO SUPPORT GALB HEURISTIC OPTIMIZATION ALGORITHMS BASED ON RESOURCE BALANCING BASED ON MULTI OBJECTIVE PERFORMANCE INDEX

机译:基于多目标性能指标,仿真模型支持基于资源平衡的GALB启发式优化算法

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The following paper face with an approach to analyse a multi model manual assembly line, and the following heuristic algorithm to optimize the scheduling of tasks to the available stations, respecting of a set of restrictions, as task/station obligation, and aiming to optimize a multi objective function, based on time, balancing utilization rates, and line balancing costs elements. This problem can be considered as belonging to the wide area of GALB Problems. Some strategy about resource scheduling opportunities has been considered. The original referable configuration of the considered system is an assembly line with six stations, and with six operators. In the present step, the solution we experimented, shows a redundant (doubled) number of stations, to be a more flexible solution compared to previous solutions, with a layout too much specific and referred to the particular tasks and constrains profile, based on real data.
机译:以下纸张面对分析多模型手动组装线的方法,以及以下启发式算法,优化对可用站的任务调度,尊重一组限制,作为任务/电台的义务,并旨在优化a基于时间,平衡利用率和线路平衡成本元素的多目标函数。这个问题可以被视为属于GALB问题的广泛领域。已经考虑了有关资源调度机会的一些策略。所考虑系统的原始可转码配置是具有六个站的装配线,并且具有六个操作员。在目前的步骤中,我们尝试的解决方案显示了冗余(加倍)的站点,与先前的解决方案相比,是一种更灵活的解决方案,具有太多特定的布局并提及特定任务并限制配置文件,基于真实的解决方案数据。

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