摘要
产品开发通常涉及需求、约束、资源等众多不确定因素,因此采用数字设计结构矩阵中概率数值表示任务之间不相等的关联关系,并基于数字设计结构矩阵的过程分析,计算不同过程序列的执行时间,求得最小时间的过程排布。同时采用仿真算法,获得过程执行最大到最小时间段内执行时间的概率分布。以某导弹系统性能分析过程为例,说明了复杂产品开发过程建模和过程执行顺序优化的可行性。
Product development generally involved uncertain factors such as requirement, constraint and resources. Numerical Design Structure Matrix（DSM） was used to describe different relationships among tasks with probability. The execution time of various process sequences was calculated based on numerical DSM analysis. Furthermore, the task arrangement of minimum time was obtained. At the same time, the probability distribution of execution time between maximum process time and minimum process time was obtained By using the simulation algorithm. The proposed method was applied in the missile performance analysis process. Feasibility of complex product development process modelling and process execution sequence optimization was revealed.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2009年第2期222-225,共4页
Computer Integrated Manufacturing Systems
基金
北京市教育委员会科技发展计划面上资助项目(KM200711232003)~~
关键词
复杂产品
迭代过程
设计结构矩阵
仿真
complex product
iteration process
design structure matrix
simulation
