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Integrating optimisation and simulation to solve manufacturing scheduling problems

机译:集成优化和仿真以解决制造调度问题

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摘要

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.
机译:在本研究论文中,提出了一种基于优化和仿真工具集成来解决制造调度问题的新方法。 参考制造调度案例研究说明了这种方法的优点。 初始优化模型作为电容批量尺寸问题(CLSP)的调整为适应。 然后,采用离散事件仿真(DES)软件来验证优化的解决方案,并在处理时间和到达速率中考虑其不确定性,并分析其鲁棒性,并且应用了启发式方法来改善初始解决方案。

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