摘要
针对航空弹药保障效率和可靠性要求高的问题,在分析保障流程的计划评审技术(PERT,Program Evaluation and Review Technique)网络图中各工序对任务完工影响程度的基础上,提取了工序关键度指标和重要度指标以及各方案下的按期完工概率,建立了保障人员配置方案评价指标体系,表示为评价函数形式.以基于蒙特卡洛方法的PERT网络仿真为核心,选择在遗传算法进化寻优框架下构建优化模型,该方法不仅得到了最优的保障人员配置方案,而且评估了需要注重的关键工序.算例实验证实了其有效性与实用性.
To solve the problem of high requirements for efficiency and reliability of air ammunition sup port, on the basis of analyzing impact of each activity on completing assignment in program evaluation and re view technique(PERT) networks of support process, activity criticality index, crucial index and complete probability on time of activity were collected to establish evaluation indexes system of support crew allocation scheme, which was indicated as the form of evaluation function. Simulation of PERT networks based on Monte Carlo method was taken as the core, and optimal allocation model of support crew was established to optimize the scheme in the framework of genetic algorithm. Example analysis shows the validity and application of the proposed method with which optimal allocation scheme of support crew is found, and critical activities with fo cus are evaluated.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2014年第1期69-74,共6页
Journal of Beijing University of Aeronautics and Astronautics
关键词
航空弹药保障
人员配置
计划评审技术
蒙特卡罗方法
遗传算法
air ammunition support
crew allocation
program evaluation and review technique(PERT)
Monte Carlo(MC) method
genetic algorithm