项目名称: 考虑非平稳特性的多层多级备件时变凸优化研究
项目编号: No.61304148
项目类型: 青年科学基金项目
立项/批准年度: 2014
项目学科: 自动化技术、计算机技术
项目作者: 郭霖瀚
作者单位: 北京航空航天大学
项目金额: 25万元
中文摘要: 在复杂可修系统时变任务强度及产品无故障休眠使用环境中,系统前时隙可用状态信息通常会产生后向影响,如果忽略这些影响将造成多层多级备件数量评估偏差较大。本项目综合考虑系统实际运行过程中这些内外交变应力影响,研究备件需求、备件在修及备件短缺非平稳随机过程,求证这些过程的非平稳特性,抽象这些过程分布函数族之间的解析关系,构建非平稳特性下多层多级备件时变库存平衡方程。推导多层多级备件级联时变需求率及条件短缺期望解析函数关系,揭示这些函数关系在时变级联维修网络中的耦合传递规律。建立多层多级备件时变凸优化模型,探索时域累积备件需求依赖的优化目标凸函数构造方法,对约束空间进行凸分析。设计目标函数凸优化算子,在梯度方向上对凸集中的内点进行搜索,分析其在相邻时隙上的边际效应,在目标函数最速下降方向上迭代差分运算实现凸优化。通过蒙特卡洛仿真实验进行验证。为大规模多层多级备件时变优化问题的高效求解提供科学方法。
中文关键词: 多层多级;可修;备件;马尔科夫;凸优化
英文摘要: Both on practical time-varying mission sortie generation rate conditions as well as in realistic no failure passivation operation environment, if complex repairable systems available states located in forward time slot are neglected multi-indenture multi-echelon spare parts quantities are usually seriously overestimated or underestimated. In this project, spare parts status are described as demand, due-in pipeline and backorder, according to the three status stochastic process models are established on the consideration of internal-external alternate stress action abstracted from realistic complex system operation modes, and non-stationary characteristics are proved for the three stochastic processes. Analytic functional relations are modeled among the stochastic processes, and multi-indenture multi-echelon spare parts time-varying stock equation is established based on the non-stationary characteristics. Spare part time-varying demand rate and conditional backorder expectation function are analytically derived according to multi-indenture multi-echelon spare parts non-stationary demands. Transitive laws derived from the function relations are promulgated in cascade coupling maintenance net. Time-varying optimized model is build to multi-indenture multi-echelon spare parts, furthermore, optimized objective funct
英文关键词: MIME;Repairable;Spare part;Markov;Convex optimization