Title :
Assessment of construction operations productivity rate as computed by simulation models
Author :
Alzraiee, Hani ; Zayed, T. ; Moselhi, O.
Author_Institution :
Concordia Univ., Montreal, QC, Canada
Abstract :
Modeling and simulation tools are used to assist decision-makers to predict essential parameters such as completion duration and productivity rate of construction operations. Two approaches are used, process simulation and system simulation. The first compute parameters based on processes interaction while the second focuses on the complex relationship among project components and their impacts. This paper presents an assessment to simulated project completion duration and productivity rate under traditional Discrete Event Simulation (DES) and modified traditional simulation technique. The evaluation is based on a simulated real case study. The process elements of the case were simulated using (DES) while system elements were simulated using System Dynamics (SD). A significant difference in productivity rate and duration was noticed between the base DES model and the impacted model. The argument presented about the credibility of simulation model outcomes highlight the pitfalls of simulation models and the measures that should be endorsed.
Keywords :
civil engineering computing; construction; discrete event simulation; production engineering computing; productivity; SD; base DES model; construction operations productivity rate; discrete event simulation; impacted model; modified traditional simulation technique; process simulation; processes interaction; project completion duration; project components-impacts relationship; project productivity rate; simulation models; system dynamics; system simulation; Computational modeling; Data models; Load modeling; Mathematical model; Predictive models; Productivity; Soil;
Conference_Titel :
Simulation Conference (WSC), 2013 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-2077-8
DOI :
10.1109/WSC.2013.6721688