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基于活动重叠的DSM项目进度优化与仿真
引用本文:张春生,严广乐. 基于活动重叠的DSM项目进度优化与仿真[J]. 运筹与管理, 2013, 22(3): 36-44
作者姓名:张春生  严广乐
作者单位:上海理工大学 管理学院,上海 200093
基金项目:上海市研究生教育创新计划资助;上海市一流学科建设资助项目(S1201YLXK)
摘    要:项目活动之间的重叠虽然可以缩短项目工期,但又存在返工风险。为此,本文采用设计结构矩阵(DSM),提出活动超前重叠因子矩阵和活动赶工重叠因子矩阵,结合返工风险矩阵,完整地描述了项目活动的重叠及其对返工的影响。提出了基于活动重叠的混合粒子群项目进度优化方法。通过案例计算表明,该法可以有效缩短项目工期,同时为项目决策者合理选择活动重叠量提供了新思路。

关 键 词:项目管理  活动重叠  设计结构矩阵  进度优化  粒子群优化  
收稿时间:2011-04-21

Study on Optimization and Simulation of DSM Project Schedule Based on Activities Overlapping
ZHANG Chun-sheng,YAN Guang-le. Study on Optimization and Simulation of DSM Project Schedule Based on Activities Overlapping[J]. Operations Research and Management Science, 2013, 22(3): 36-44
Authors:ZHANG Chun-sheng  YAN Guang-le
Affiliation:College of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract:Overlapping between project activities can shorten project schedule, but it can result in a rework risk. Therefore, the paper first adopts the design structure matrix(DSM), proposes activities advancing overlapping factor DSM and activities crashing overlapping factor DSM, combines rework risk DSM, aiming to completely describe the effect of activities overlapping on rework. Finally, the author presents a hybrid particle swarm algorithm for schedule optimization based on activities overlapping. The calculation proves that the method can not only reduce the duration of projects, but also provide decision-makers with a new perspective in properly choosing activities overlapping.
Keywords:project management  activities overlapping  design structure matrix  schedule optimization  particle swarm optimization(PSO)  
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