The schedules presented by the Gantt-Precedence diagrams, based on the Critical Path Method (CPM), no longer adequately meet the demands of the building construction industry. This approach, which focuses mainly on the duration of activities, fails to manage job site operations effectively, including team rotation, material supply and circulation, and space management to avoid site congestion or relaxation. Aimed primarily at construction project managers, the objective of this research project is to improve construction project scheduling by developing a methodology for modelling and calculating the dynamic space-time occupancy rate. The proposed methodology is based on Space Planning techniques, specifically Chronographic Modelling to design artefacts and models, utilizing design science to determine and optimize the Dynamic Space-Time Occupancy Rates of construction sites.
Surveys assessing the position and occupancy of various operational components, such as teams, equipments, tools, materials, and temporary installations, were conducted on several construction sites while exploring available technologies for this purpose. The analysis of these surveys led to the identification of all the properties of the sectors and Operation Type (OT) necessary for modelling and calculations. Subsequently, the Dynamic Location Breakdown Structure (DLBS) was proposed to identify and manage the available sectors during the works. This led to the development of a methodology to calculate the static occupancy rate of a sector, based on the creation of static artefacts to represent the occupation and calculating this rate in different sectors.
The Dynamic Modeling of the Occupancy Rate Scheduling (DMORS) is then designed to allow the calculation and dynamic modelling of the occupancy rate. This modelling is performed by adding mini artefacts to Chronographic Modelling, allowing for site optimization and offering a more realistic representation of the work. A validation process was undertaken using a sample project, a workshop, and a questionnaire addressed to professionals in the construction sector to gather their opinions on the representativeness of the artefacts.
| Date | 10 Dec 2024 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Adel Francis (Supervisor) |
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Morin Pépin, S. (Author),
Francis (Supervisor),
10 Dec 2024Student thesis: Doctoral thesis › Doctorate in Engineering: Engineering