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首页> 外文期刊>International journal of industrial and systems engineering >A simulation-based multi-objective optimisation approach in flexible manufacturing system planning
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A simulation-based multi-objective optimisation approach in flexible manufacturing system planning

机译:柔性制造系统规划中基于仿真的多目标优化方法

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In this paper, an attempt has been made to address the optimum set of queues capacity, queues discipline, conveyors and transporter's speed and operational setup times in a common flexible manufacturing system (FMS) with objectives of minimisation of average stay time in queues and maximisation of throughput simultaneously. Analysis of such issues, especially when the objective functions cannot be described in mathematical terms is a complex task is focused in this paper. Here the mean of five objective functions estimated by fitness functions extracted experimentally using 36 scenarios on a valid computer simulation model. Under equal weights, the exact solution attained by the Lingo software and optimum process setting was achieved. The applicability of the new approach is ascertained through a case study involving the optimisation of real engineering system and presented using the proposed approach.
机译:在本文中,已尝试在通用柔性制造系统(FMS)中解决最佳队列容量,队列纪律,输送机和运输机的速度以及操作建立时间的最佳集合,其目标是最小化队列中的平均停留时间并最大化同时处理吞吐量。对此类问题的分析,尤其是在无法用数学术语描述目标函数时,是一项复杂的任务,重点是本文。在这里,由适应度函数估计的五个目标函数的平均值是在有效的计算机仿真模型上使用36个场景实验性提取的。在相等的权重下,通过Lingo软件获得了精确的解决方案,并获得了最佳的工艺设置。通过涉及实际工程系统优化的案例研究确定了新方法的适用性,并使用提出的方法进行了介绍。

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