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作 者:李玉刚[1,2] 国纲[1,2] 孔令启[1,2] 郑世清[1,2]
机构地区:[1]华南理工大学化工与能源学院,广东广州510640 [2]青岛科技大学计算机与化工研究所,山东青岛266042
出 处:《计算机与应用化学》2008年第4期459-463,共5页Computers and Applied Chemistry
摘 要:间歇化工过程生产中的不确定性因素很多,由于其不可预见性和多样性,不可能在产生原调度的同时给出不确定因素的最合适的处理方案,而是需要在不确定因素发生时结合过程的实际情形,来对原调度进行反应型调度。本文考察了设备故障的影响,根据设备故障的特点和所加工物料的性质,分故障产品重加工、故障工序继续加工和故障工序重加工三类加以分析和处理,建立了该问题的数学模型并用遗传算法来对该问题进行求解。文中给出设备故障反应型调度的算例,通过设备的维修时间、物料的处理方式以及故障发生时间对反应型调度的灵敏度分析揭示了基于设备故障的间歇化工过程反应型调度的实质。A strategy to obtain the optimal scheduling in the face of equipment failure was developed to improve system performance when unexpected events occur during scheduling execution. A model was achieved where of the proposal of product classified into 3 cat- egories according to the characteristic of the product and the failure of its corresponding equipment. A generic algorithm was used to solve this problem, and an example was used to illustrate the influence of the maintain time, the way of dealing with material and the initial time when the equipment failure occurs. Further studies on the influence of the initial time on the optimal scheduling showed the essence of batch process reactive scheduling with equipment failure.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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