主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

中国管理科学 ›› 2015, Vol. 23 ›› Issue (6): 147-152.doi: 10.16381/j.cnki.issn1003-207x.201.06.019

• 论文 • 上一篇    下一篇

基于分层网络的机动时间研究

李星梅, 张倩, 魏涵静, 乞建勋   

  1. 华北电力大学经济与管理学院, 北京 102206
  • 收稿日期:2013-06-17 修回日期:2014-04-10 出版日期:2015-06-20 发布日期:2015-07-22
  • 作者简介:李星梅(1971-),女(满族),河北承德人,华北电力大学经济与管理学院,副教授,硕士生导师,研究方向:项目管理、行为运作管理.
  • 基金资助:

    国家自然科学基金资助项目(71171079);北京市产学研联合培养研究生共建项目资助

The Analysis of Float Calculation in the Hierarchical Network

LI Xing-mei, ZHANG Qian, WEI Han-jing, QI Jian-xun   

  1. School of Economics and Management, North China Electric Power University, Beijing 102206, China
  • Received:2013-06-17 Revised:2014-04-10 Online:2015-06-20 Published:2015-07-22

摘要: 现有网络计划技术的研究主要针对单层网络,难以有效地指导大型项目的生产。原因在于大型工程项目生产过程复杂,工序成千上万,给对应的网络图描述带来了极大的困难。然而,通过网络分层技术则能把一个复杂的网络分解成多个简单的子网络,即将大型网络过渡到几个简单的单层网络,继而利用单层网络技术对其进行分析。本文依据大型网络的构建过程提出简化组合模型,将多层次复杂网络转化为多个单层次简单网络,在此基础上给出分层网络机动时间的计算公式。最后通过一个实例验证了此方法的正确性和可行性。

关键词: 大型项目网络, 分层网络, 机动时间

Abstract: The current network planning technique is mainly concern with single-layer network, which lacks the efficiency in guiding the production of large-scale manufacturing project. The production process of large-scale project whose activities are tens of thousands is complex, which brings extremely difficulty in describing the corresponding network. However, according to the hierarchical network technology, a complex network can be divided into several simple sub-networks, which means a large type of network can be transformed to a single-layer network, and single-layer network technology can be used to analyze the complex network. In this paper, based on the process of building a large type of network, the issue that how to simplify the network of large-scale project is studied in this paper, several single-layer networks is divided, and the calculation of the float in hierarchical network is carried out. Finally, correctness and feasibility of the conclusion are illuminated through example analysis.

Key words: large-scale projects, hierarchy network, float time

中图分类号: