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摘要: 罩式退火炉的生产调度过程是一个典型的多工序.多约束、有重入的多机并行调度 问题,难于解析建模.对此问题,将离散事件仿真技术与改进的遗传算法相结合,提出罩式退 火炉生产的优化调度方法.生产现场的实际应用表明所提方法大大提高了生产设备的利用率 和生产效率.Abstract: The production scheduling of a bell-type batch annealing is a typical multi-working procedure, multi-constraints, re-entry, multi-machine parallel scheduling problem. It is also very difficult to build its mathematic model. In this paper, an optimal scheduling method for a bell-type batch annealing is proposed by combining an improved genetic algorithm with discrete event simulation technique. The application result shows that the method improves production efficiency and gains economic benefits.
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Key words:
- Optimal scheduling /
- genetic algorithm /
- discrete event simulation
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