A framework for real-time simulation of heavy construction operations

  • Authors:
  • Lingguang Song;Fernando Ramos;Katie Arnold

  • Affiliations:
  • University of Houston, Houston, TX;Heavy Construction Systems Specialists, Inc., Houston, TX;Heavy Construction Systems Specialists, Inc., Houston, TX

  • Venue:
  • Proceedings of the 40th Conference on Winter Simulation
  • Year:
  • 2008

Quantified Score

Hi-index 0.03

Visualization

Abstract

This paper describes a framework of real-time simulation for modeling heavy construction operations. Compared with the traditional offline simulation that uses stationary inputs, the capability of real-time simulation to dynamically incorporate new project data and adapt to changes in the operating environment offers the promise of improving the accuracy of project forecasting. In the proposed realtime simulation framework, dynamic data from construction operations are constantly captured and fed into a process-simulation model for short-term scheduling purposes. A prototype system was developed to demonstrate the structure of the proposed framework and its feasibility. The benefits of this simulation approach and future research requirements for achieving a higher-level modeling automation are also discussed in this paper.