摘要
在项目实践中,由于资源约束,从而会延长项目群的工期。为此,本文引入资源时间因子概念,采用设计结构矩阵(DSM),利用资源进入和退出时间因子矩阵描述了项目任务对资源的需求。提出了基于资源时间因子的遗传粒子群项目群进度优化方法。通过案例计算表明,该法可以有效缩短项目群工期,同时为项目决策者合理增加资源提供了新思路。
In the project practice, the project schedule would be prolonged due to resource constrained. Therefore, the paper first introduced a concept of resource time factor, adopts the design structure matrix（DSM） , then described the demand on resources according to program by using resources into time factors DSM and resources exit time factors DSM. Finally, the author presents a genetic particle swarm algorithm for program schedule optimization based on resource time factor. The calculation proves that the method not only can reduce the Program Schedule, but also can provide decision-makers with a new perspective in proper inereasing reasonable resources.
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2013年第4期93-100,共8页
Operations Research and Management Science
基金
上海市研究生教育创新计划资助
上海市重点学科建设资助项目(S30504)
关键词
项目管理
资源约束
资源时间因子
设计结构矩阵
进度优化
粒子群优化
project management
resource constrained
resource time factor
design structure matrix
scheduleoptimization
particle swarm optimization （PSO）
