Authors: Choy, Eldon; Ruwanpura, Janaka Y.

Source: Canadian Journal of Civil Engineering, Volume 33, Number 12, December 2006 , pp. 1585-1600(16)

Publisher: NRC Research Press

Abstract:

Construction site operations are very complex, and they involve complicated relationships among numerous tasks, factors, obstacles, risks, and uncertainties, or triggering situations that affect productivity. To improve the performance of construction operations, one needs to understand the impact these triggering situations have on productivity. The paper discusses a recently developed technique, called situation-based simulation modeling, that is used to model the triggering situations in construction to predict productivity. This tool can model the cause-and-effect relationships among various triggering situations, which previous construction models have ignored. Construction operations that were directly observed and recorded for more than 3500 person-hours served as the data source for the development of the model. The simulation results are not only able to accurately predict productivity relative to the actual productivity observed at the site, but also provide the basis for recommendations to mitigate problematic situations to improve productivity.Key words: construction, productivity, modeling, simulation, situation-modeling.

Les travaux à un site de construction peuvent être très complexes et peuvent comprendre des relations compliquées entre les divers facteurs, tâches, obstacles, risques et incertitudes ou des situations de déclenchement qui peuvent affecter la productivité. Afin d'améliorer le rendement des travaux de construction, il faut tout d'abord comprendre l'impact de ces situations de déclenchement sur la productivité. Cet article discute d'une technique de modélisation développée récemment appelée « situation-based simulation modeling » (modélisation de simulation basée sur les situations) pour modéliser les situations de déclenchement en construction afin de prédire la productivité. Cet outil peut modéliser les relations de cause à effet parmi diverses situations de déclenchement, ignorées par les modèles de construction antérieurs. Plus de 3500 heures-personnes de travaux de construction ont été directement observées et enregistrées comme source de données pour le développement du modèle. Les résultats de simulation peuvent non seulement prédire une productivité très proche de la productivité réelle observée au site, mais aussi offrir des recommandations pour atténuer les situations problématiques afin d'améliorer la productivité.Mots clés : construction, productivité, modélisation, simulation, modélisation de situations.[Traduit par la Rédaction]

Document Type: Research article

Publication date: 2006-12-01

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• Published since 1974, this monthly publication is the official journal of the Canadian Society for Civil Engineering. It contains articles on environmental engineering, hydrotechnical engineering, structure engineering, construction engineering, engineering mechanics, and engineering materials, and a history of civil engineering. Contributors include recognized researchers and practitioners in industry, government, and academe. New developments in engineering design and construction are also featured.
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