【作者】 李桂芬； 鞠彦兵；

【Author】 LI Gui-fen, JU Yan-bing (School of Management and Economics, Beijing Institute of Technology, Beijing 100081,China.

【机构】 北京理工大学管理与经济学院；

【摘要】 如何对大规模的生产进行有效合理的调度,是生产决策者面临的主要任务,也是充分发挥生产能力,实现资源优化利用的关键．因而提出了求解车间调度的集成优化设计方案,把仿真技术和遗传算法相结合,根据生产车间的资源情况、任务目标等建立了几个生产调度仿真模型,然后对仿真输出结果进行统计,利用统计结果应用遗传算法对调度决策进行优化．实验结果说明了该集成优化方法的有效性,具有较好的工程应用价值．更多还原

【Abstract】 How to effectively and properly dispatch large-scale production is one of the main problems to be solved by decision maker, and it is also the key of exerting production ability fully and allocating resources optimally. It proposes a method of integrating optimization to solve scheduling problem. To combine the genetic algorithm and simulation, several simulation models of JSP according to resources condition and job target; secondly, process the simulation results; and then apply genetic algorithm on the statistic to optimize the schedule decision. The result of the test shows the effectiveness and super engineering application value of this method.更多还原