Title :
A framework for real-time simulation of heavy construction operations
Author :
Song, Lingguang ; Ramos, Fernando ; Arnold, Katie
Author_Institution :
Dept. of Eng. Technol., Univ. of Houston, Houston, TX, USA
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 real-time 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.
Keywords :
construction industry; discrete event simulation; planning; project management; scheduling; discrete-event simulation; heavy construction operation modeling; higher-level modeling automation; offline simulation; process-simulation model; project forecasting; project planning tool; real-time simulation framework; short-term project scheduling; Analytical models; Construction industry; Decision making; Dynamic scheduling; Job shop scheduling; Predictive models; Prototypes; Real time systems; Tunneling; Uncertainty;
Conference_Titel :
Simulation Conference, 2008. WSC 2008. Winter
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2707-9
Electronic_ISBN :
978-1-4244-2708-6
DOI :
10.1109/WSC.2008.4736346