考虑学习效应的复杂工程网络优化及仿真被引量：1

Task Flow Optimization and Risk Simulation Model of Complex Construction Proje

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摘要为了有效管理和控制复杂工程项目的成本和进度,文章提出了一种项目网络流程优化算法。该优化算法以设计结构矩阵为基本分析工具,通过重新安排任务的执行顺序,降低项目执行过程中的返工迭代来优化整个项目的工期和费用。考虑到项目执行过程中部分任务需要返工多次才能满足要求,着重考虑了学习效用对于项目时间和费用的影响。算例仿真结果表明,项目中的学习效应会对成本和进度产生显著影响,对于任务之间存在具有高度耦合关系的复杂工程项目,该优化算法可以有效地降低项目执行成本和执行费用。 In order to effectively manage the schedule and cost of complex construction projects, an algorithm is developed to optimize task flows. This algorithms uses Design Structuring Matrix as the basic analysis tool, and optimizes the task flow through reorganizing the tasks execution sequence. As learning curve will play an important role in the completion of complex project, this paper also takes this factor into consideration. The simulation results in the case study indicates that it is quite effective for projects with high task interactions, and the learning curve will pose a significant effect upon project cost and schedule.

作者陈冬宇邱菀华杨敏梁美容

机构地区北京航空航天大学经济管理学院香港城市大学建筑系

出处《北京航空航天大学学报（社会科学版）》 CSSCI 2008年第2期8-12,共5页 Journal of Beijing University of Aeronautics and Astronautics：Social Sciences edition Edition

基金优博基金(200466) 香港城市大学基金(6000114)

关键词复杂工程学习曲线优化 complex projects learning curve optimization

分类号 F270.7 [经济管理—企业管理]

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