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Integrating Optimisation and Simulation to Solve Manufacturing Scheduling Problems

机译:集成优化和仿真解决制造调度问题

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In this research paper, a novel approach to solve manufacturing scheduling problems based on the integration of optimisation and simulation tools is proposed. The advantages of this approach are illustrated with reference to a manufacturing scheduling case study. The initial optimisation model is formulated as an adaptation of the Capacitated Lot-Sizing Problem (CLSP). Then, a Discrete Event Simulation (DES) software is employed to verify the optimised solution and analyse its robustness taking into account uncertainties in the processing times and arrival rates, and a heuristic method is applied to improve the initial solution.Video abstractDisplay Omitted.
机译:本文提出了一种基于优化和仿真工具集成的解决生产调度问题的新方法。参考制造调度案例研究说明了这种方法的优势。最初的优化模型被公式化为对容量批量问题(CLSP)的改编。然后,使用离散事件仿真(DES)软件验证优化的解决方案,并考虑处理时间和到达速度的不确定性来分析其鲁棒性,并采用启发式方法改进初始解决方案。

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