Assessment of construction operations productivity rate as computed by simulation models

Hani Alzraiee, Tarek Zayed, Osama Moselhi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings of the 2013 Winter Simulation Conference - Simulation
Subtitle of host publicationMaking Decisions in a Complex World, WSC 2013
Pages3225-3236
Number of pages12
DOIs
Publication statusPublished - 1 Dec 2013
Externally publishedYes
Event2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013 - Washington, DC, United States
Duration: 8 Dec 201311 Dec 2013

Conference

Conference2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013
Country/TerritoryUnited States
CityWashington, DC
Period8/12/1311/12/13

ASJC Scopus subject areas

  • Modelling and Simulation

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