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基于GA与DSM的飞行机务保障价值流层次分割优化
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V37;N945.15

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国家自然科学基金资助项目(71071126)


Study on Hierarchical Division Optimization of Flight Line Maintenance Value Stream Based on GA and DSM
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    摘要:

    针对保障任务交互复杂、作业流程刚性较大等问题,提出一种基于设计结构矩阵和遗传算法的飞行保障价值流层次分割优化方法。建立了真实情况下的飞行机务保障价值流传递模型,根据价值流时滞槽蓄特性分析结果,提出了通过价值活动聚类优化改善价值流通能力的思路;设计了遗传算法与DSM组合聚类优化具体步骤,并给出了DSM模型与聚类情况的映射关系;建立了基于聚类权重、聚类规模以及聚类总数的适应度函数和保障活动价值传递增益参数,进行价值活动遗传聚类算法和聚类活动解耦优化算法设计。最后,结合某机务大队保障实例对算法进行验证,结果证明所得飞行保障价值流的优化模式有效可行。

    Abstract:

    Aimed at the complicated structure and remarkable rigidity of its process, a method of hierarchical division optimization of flight line maintenance value stream based on GA and DSM is proposed. The value flow transferring model is built on the actual condition. According to its character of time-delay and propagation, an decoupling clustering method to improve the effect of value flow transferring is deduced. Then, its particular steps are given. The projection relationship between DSM model and cluster of value activities is defined. Futhermore, fitness function based on cluster weight, cluster scale, cluster number and decoupling parameter are designed. Therefore, The algorithm of value activities cluster based on GA and clustered activities decoupling decoupling. Finally, combining with case study of a military airfield. the validity of the model is proved, and the optimization pattern of flight line maintenance value stream is established.

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张天明,张凤鸣,李超,刘刚.基于GA与DSM的飞行机务保障价值流层次分割优化[J].空军工程大学学报,2011,(3):15-19

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  • 在线发布日期: 2015-11-24
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