This research proposes an automated construction delay management solution for Electrical and Instrument construction works using BIM, Ms Project, and PowerBI for analytical purposes (e.g. SPI, CPI). The proposed solution combines Earned Value Management with BIM to generate accurate project schedules and simulate construction sequences. Earned value management is used here to measure the project’s performance and identify potential delays. PowerBI is used to analyse and visualise project data, allowing project managers to monitor project progress and take corrective actions in real-time. The proposed solution was tested on a large-scale construction project case study. The results show that it can significantly improve the accuracy of project schedules, reduce/mitigate delays, and enhance the overall project management process. The study contributes to the construction industry by proposing an automated mechanism to improve construction delay management, optimise resource allocation, and enhance project communication. The proposed solution can also serve as a framework for future research to develop more advanced and comprehensive solutions to manage construction delays in various projects.

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Automated Construction Delay Management Mechanism (Earned Value) of Electrical and Instrument Works with BIM and Microsoft Tools

  • Kambiz Radman,
  • Mostafa Babaeian Jelodar,
  • Ruggiero Lovreglio,
  • Eghbal Ghazizadeh,
  • Suzanne Wilkinson

摘要

This research proposes an automated construction delay management solution for Electrical and Instrument construction works using BIM, Ms Project, and PowerBI for analytical purposes (e.g. SPI, CPI). The proposed solution combines Earned Value Management with BIM to generate accurate project schedules and simulate construction sequences. Earned value management is used here to measure the project’s performance and identify potential delays. PowerBI is used to analyse and visualise project data, allowing project managers to monitor project progress and take corrective actions in real-time. The proposed solution was tested on a large-scale construction project case study. The results show that it can significantly improve the accuracy of project schedules, reduce/mitigate delays, and enhance the overall project management process. The study contributes to the construction industry by proposing an automated mechanism to improve construction delay management, optimise resource allocation, and enhance project communication. The proposed solution can also serve as a framework for future research to develop more advanced and comprehensive solutions to manage construction delays in various projects.