考虑机器故障的柔性作业车间鲁棒调度方法

发布时间：2018-05-25 17:54

本文选题：柔性作业车间调度 + 鲁棒调度　；参考：《系统仿真学报》2016年04期

【摘要】：柔性作业车间在实际生产过程中存在多种不确定因素,影响了正常生产和调度目标的实现。针对机器发生故障的因素,结合柔性作业车间调度特点,分别提出了2个鲁棒性指标:一个是考虑初始调度和实际调度最大完工时间偏差的鲁棒性指标;另一个是考虑每台机器的空闲时间和工作负荷的鲁棒性指标。应用遗传算法对其求解,设计了两段式染色体编码,防止产生非法解。通过建立机器发生故障的概率函数,模拟产生机器故障事件,并利用提出的优化方法和鲁棒性指标进行仿真优化。实验结果表明提出的方法可以有效的减少工序延误,避免造成实际调度性能的恶化。
[Abstract]:There are many uncertain factors in the practical production process of flexible workshops, which affect the realization of normal production and scheduling targets. According to the factors of machine failure and the characteristics of flexible job shop scheduling, 2 Robust indexes are put forward respectively: one is the robustness considering the initial adjustment and the maximum completion time deviation of the actual scheduling. The other is to consider the robustness of the idle time and workload of each machine. Using genetic algorithms to solve it, a two segment chromosome coding is designed to prevent unlawful solutions. By establishing a probability function of a machine failure, a machine fault event is simulated, and the proposed optimization method and robustness are used. Simulation results show that the proposed method can effectively reduce the process delay and avoid the deterioration of actual scheduling performance.
【作者单位】：郑州航空工业管理学院管理工程学院;河南工业大学机电工程学院;上海第二工业大学机电工程学院;
【基金】：国家自然科学基金(61203179,71201048) 河南省高校科技创新人才支持计划(14HASTIT006) 河南省高等学校青年骨干教师资助计划(2014GGJS-105) 航空科学基金(2014ZG55016)
【分类号】：TB497

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