多项目环境下复杂产品开发资源动态分配技术

中国机械工程 ›› 2011, Vol. 22 ›› Issue (23): 2844-2848,2852.

多项目环境下复杂产品开发资源动态分配技术

孙清超1;孙伟1;郭钢2

1.大连理工大学，大连，116024

2.重庆大学，重庆，400030

出版日期:2011-12-10 发布日期:2011-12-20
基金资助:
国家自然科学基金资助项目(51005038)；高等学校博士学科点专项科研基金资助项目(20100041120032)
National Natural Science Foundation of China（No. 51005038）;
Specialized Research Fund for the Doctoral Program of Higher Education of China（No. 20100041120032）

Resource Dynamic Allocation of Complex Product Development for Multi-project Management

Sun Qingchao1;Sun Wei1;Guo Gang2

1.Dalian University of Technology, Dalian,Liaoning, 116024

2.Chongqing University, Chongqing, 400030

Online:2011-12-10 Published:2011-12-20
Supported by:

National Natural Science Foundation of China（No. 51005038）;
Specialized Research Fund for the Doctoral Program of Higher Education of China（No. 20100041120032）

摘要/Abstract

摘要：

首先建立了多项目环境下资源分配问题的数学模型，将资源匹配关系分为粗匹配和细匹配;进而提出了开发能力需求分析（development capacity requirements analyzing, DCRA）方法，用于分析各时段资源需求的可行性，并建立了基于DCRA的资源动态分配模型;为了适应多时段、多类型的资源细匹配需求，以“保证项目进度”和“平衡资源负荷”为目标，提出了一种改进遗传算法。最后结合实例验证了模型及方法的有效性。

关键词:

复杂产品开发, 多项目管理, 资源动态分配, 开发能力需求分析, 遗传算法

Abstract:

A mathematical model of resource allocating among multi-projects was built, the matching relationship was divided into rough matching and detailed matching. Next, for analyzing the feasibility of resources demand in every period, a DCRA method was presented, and the dynamic resource allocating model based on DCRA was established. In addition, a improved genetic algorithm was brought forward, to optimize the detailed matching relationship. An example proves that the presented methodologies are effective.

Key words: complex product development, multi-project management, resource dynamic allocation, development capacity requirements analyzing(DCRA), genetic algorithm

中图分类号:

TH166
TP391

孙清超1, 孙伟1, 郭钢2.

多项目环境下复杂产品开发资源动态分配技术

[J]. 中国机械工程, 2011, 22(23): 2844-2848,2852.

SUN Qing-Chao-1, SUN Wei-1, GUO Gang-2.

Resource Dynamic Allocation of Complex Product Development for Multi-project Management

[J]. China Mechanical Engineering, 2011, 22(23): 2844-2848,2852.

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