Abstract
Construction sites are increasingly complex, and their layout have an impact on productivity, safety, and efficiency of construction operations. Dynamic site layout planning (DSLP) considers the adjustment of construction facilities on-site, on an evolving basis, allowing the relocation of temporary facilities according to the stages of the project. The main objective of this study is to develop a framework for integrating unmanned aerial vehicles (UAVs) and their capacity for effective photogrammetry with site layout planning optimisation and Building Information Modelling (BIM) for automating site layout planning in large construction projects. The mathematical model proposed is based on a mixed integer programming (MIP) model, which was employed to validate the framework on a realistic case study provided by an industry partner. Allocation constraints were formulated to ensure the placement of the facilities in feasible regions. Using information from the UAV, several parameters could be considered, including proximity to access ways, distances between the facilities, and suitability of locations. Based on the proposed framework, a layout was developed for each stage of the project, adapting the location of temporary facilities according to current progress on-site. As a result, the use of space was optimised, and internal transport costs were progressively reduced.
Highlights
The construction industry contributes to a significant percentage of the total gross domestic product (GDP) of many economies worldwide s [1]
Once potential locations are identified by the processed images of the unmanned aerial vehicles (UAVs), and once the progress of work has been monitored such that an updated work schedule and asplanned building model are produced, the task is to use the data and parameters generated from the captured UAV images to optimise the layout of facilities
The UAV system is assumed to be deployed for two stages of the project to which the mixed integer programming (MIP) model is applied to obtain the optimised site layout
Summary
The construction industry contributes to a significant percentage of the total gross domestic product (GDP) of many economies worldwide s [1]. According to [5], in its most basic concept, the SLP process involves planning, designing, and locating all of the necessary facilities to support the activities carried out during the construction period. This static planning concept, established in the early stages of the project [6], where facilities are assumed to have a fixed position throughout the entire duration of a project [7,8,9,10], does not reflect the current panorama of the construction operations. Decision making must be performed dynamically throughout the various stages of the construction process
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