Activity Flow Optimization and Risk Evaluation of Complex Project
In order to effectively control the schedule and cost of complex project, this paper proposes an algorithm for optimizing activity sequences and a model for evaluating schedule/cost risks based on Dependency Structural Matrix (DSM) theory. The activity optimization algorithm aims to reduce unnecessary activity rework by arranging activity execution order properly. Risk evaluation model also takes account of the uncertainties of project activities as well as learning effects. The simulation result indicates that our optimization algorithm can effectively reduce cost and compress schedule for complex projects.
complex projects DSM simulation project management
Chen Dong-yu Qiu Wan-hua Yang Min Leung Mei-yung
School of Economics and Management, Beihang University, Beijing, P.R. China Department of Building and Construction, City University of Hong Kong, Hong Kong
国际会议
上海
英文
2007-09-21(万方平台首次上网日期,不代表论文的发表时间)