Research on Project Duration Prediction Based on Multiple Linear Regression
编号:287 访问权限:仅限参会人 更新:2022-05-19 16:46:46 浏览:165次 张贴报告

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摘要
In the engineering management of power grid construction projects, effective prediction of construction process durations is one of the critical factors affecting the quality and cost of the project. Based on historical infrastructure project data, this paper establishes a multiple linear regression model to predict the expected completion time of each process of the current engineering project, using the main influencing factors of project process duration as the independent variable, duration as the dependent variable, and the calculated rated duration as the constant. Using network planning techniques and analyzing the project Gantt chart, the network node diagram of the project is drawn, and the critical path of the project execution is determined. Finally, based on the fuzzy membership function duration calculation method, the total project duration prediction range is obtained.
关键词
multiple linear regression;project duration prediction;network plan;fuzzy membership function
报告人
Yong Pan
国网江苏省电力有限公司

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重要日期
  • 会议日期

    05月27日

    2022

    05月29日

    2022

  • 02月28日 2022

    初稿截稿日期

  • 05月29日 2022

    注册截止日期

  • 06月22日 2022

    报告提交截止日期

主办单位
IEEE Beijing Section
China Electrotechnical Society
Southeast University
协办单位
IEEE Industry Applications Society
IEEE Nanjing Section
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