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Abstract:The efficient planning of site space through the course of a construction project is referred to as site layout planning. Due to its impact on safety, productivity and security on construction sites, several site layout planning models have been developed in the past decades. These models have the common aim of generating best layouts considering the defined constraints and conditions. However, the underlying assumptions that were made during the development of these models seem disparate and often implicit. This study provides an overview of the existing models and aims to draw a holistic view of variables that have been considered at different levels of detail and using different approaches in the site layout literature. Through close examination and comparative analysis of existing models, this study identifies the components that need to be considered for site layout modeling, referred to as constructs. Possible approaches that can be used to realize each construct are presented, and the advantages and disadvantages of these approaches are discussed. It is hoped that this study contributes to a better understanding of site layout modeling, and provide an outline for the development of new site layout planning models.Key words: construction site planning, site layout modeling, modeling constructs, site management, optimization models.Résumé : La planification de l'agencement d'un espace défini dans le cadre d'un chantier de construction est appelée « plan d'aménagement de site ». En raison de l'impact de ce dernier sur la sécurité, la productivité et la sûreté des sites de construction, de nombreux modèles de plans d'aménagement de site ont été développés au cours des dernières décennies. Ces modèles ont pour objectif commun de concevoir des aménagements optimaux en tenant compte de contraintes et de conditions précises. Cependant, les hypothèses de base émises lors de l'élaboration de ces modèles semblent nombreuses et souvent implicites. La présente étude fournit un aperçu des modèles existants et a pour but d'offrir une vision globale des variables qui ont été étudiées à différents niveaux de détail et sous diverses approches dans la littérature traitant de l'aménagement de site. Grâce à un examen attentif et à une analyse comparative des modèles existants, le présent article identifie les composants, nommés « structures », à prendre en compte dans la modélisation de l'aménagement de site. L'article décrit également les différentes approches pouvant être adoptées pour créer chaque structure ainsi que les avantages et désavantages de ces approches. Il est à espérer que la présente étude contribuera à une meilleure compréhension de la modélisation de l'aménagement de site et constituera un point de départ à l'élaboration de nouveaux modèles de plans d'aménagement de site. [Traduit par le Rédaction] Mots-clés : plan de site de construction, modélisation d'aménagement de site, structures de modélisation, gestion de site, modèles d'optimisation.

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Site layout planning is the task of determining optimum location for construction facilities on the site in order to increase productivity and safety of the project. Most of the existing studies assume all facilities are required for the entire duration of the project which is not a realistic scenario. More advanced studies have proposed dynamic models to reflect the changes in the project requirements over the course of time. They generate optimum layouts for a set of consecutive time intervals. However, combining individually optimized layouts does not necessarily guarantee globally optimum locations for facilities. In addition, forcing facilities to fit in a set of predetermined time intervals can lead to waste of space and inefficient layouts. This research adopts the Minimum Total Potential Energy (MTPE) principle from physics to develop a dynamic planning model which generates layouts that are globally optimized. It assumes construction site to be a physical system in which construction facilities represent particles and the internal forces among particles reflect the closeness constraints between facilities. The total potential energy of the system represents the fitness of the layout for the defined objective function. Based on MTPE principle, the internal forces cause particle to search for a location with lower potential energy until the system reaches equilibrium. The final state of particles represents the minimum total potential energy of the system, which reflects the fittest arrangement for the facilities on the site. A computational example is analyzed to investigate the accuracy of the proposed model and demonstrate its capabilities.

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