摘要
开发活动间具有耦合性,耦合活动重叠会导致活动间信息交互频繁,产生返工风险,合理计算项目进度对指导实践具有重要意义。利用设计结构矩阵(DSM)描述产品开发活动,并利用高斯消去算法进行活动排序,保证整体周期最短;引入迭代学习率,并结合上下游活动之间信息交互方式和影响构建项目进度计算模型。通过案例计算表明,耦合活动重叠方式能有效缩短项目工期,与传统方法相比,该模型考虑了活动之间信息迭代,更加符合工程实践。
Development activities are coupled. Overlapping of coupled activities will lead to frequent information exchange and rework risk. Rational calculation of project schedule is of great significance to practice. The paper describes the product development activities with designs structure matrix ( DSM ) and uses the Gaussian elimination algorithm to sort the activities in order to ensure the shortest cycle. Based on the introduction ofiterative learning rate, the article constructs the calculation model of the project schedule combined with the information interaction between upstream and downstream activities. Through the case calculation, it is indicated that overlapping of coupled activities can shorten the project duration effectively. Compared with the traditional method, the calculation model is more in accordance with the engineering practice.
作者
陶俐言
冒宇婷
TAO Liyan MAO Yuting(School of Management, Hangzhou Dianzi University, Hangzhou 310000, China)
出处
《科技管理研究》
CSSCI
北大核心
2017年第5期170-175,共6页
Science and Technology Management Research
基金
中央军委科技部装备预研基金项目"面向复杂装备****的虚拟装配基础技术研究"(9140A18010114DZ04001)
关键词
项目进度规划
耦合活动重叠
设计结构矩阵
迭代
高斯消去算法
project schedule planning
overlapping of coupled activities
design structure matrix
iteration
Gauss elimination algorithm