Workspace Interferences/Collisions happen on construction jobsites when multiple resources (labor, equipment, material, etc.) don’t have enough space to coexist at the same time and will interfere with each other’s operations. These interferences affect performance, delaying the project, impacting cost, and may jeopardize the buildings’ integrity and people’s safety on site. Most of existing models simulate resources as being deterministic. However, the behavior of the crew interfering is more chaotic.
Modular and offsite construction, where a module of project or complete house is manufactured in a factory, requires a large upfront capital (working capital) investment in order to procure materials in advance of manufacturing and to deliver modules on time and on schedule. Thus, modular fabricators need to receive deposit and progress payment before the assembly process. In the eyes of a bank, a prefab house is “just materials”.
Monitoring and control earthmoving operations such as highways and dams construction; require the collection of large amounts of data. Collecting this data manually is time-consuming and it lacks accuracy, so there is a necessity for using automated data collection systems in such operations. Most of nowadays available data acquisition systems are costly back boxes, where the user can not use it based on his/her customised needs.
Usually, any construction project begins with the planning department preparing a construction schedule that is pushed onto the project team. The big up-front plan might cause delays in the construction process because it relies on predicting a lot in the future, so you need frequent updating of this plan throughout the execution. Agile is a project management approach that includes micro-planning tools to support construction contractors in the execution of projects.
The use of Building Information Modeling (BIM) processes and technologies is rapidly growing in the Architecture, Engineering and Construction (AEC) industry. It is being widely implemented during the design and construction phases. However, the building models created in these phases are not suitable for the Operation and Maintenance Phase (O&M). These models lack useful data for O&M or include unnecessary items which affect the usability of models. This project aims to develop tools to improve the quality of models used for O&M.
Managing complex, fragmented, and high volume portfolios of data that are generated during the lifecycle of buildings poses major challenges for the Architecture, Engineering, Construction, and Operations (AECO) industry. Required information during the operation and maintenance phase of a building’s lifecycle is usually lost (or not transferred) at information handover stages, and extensive rework should be done to revive them. This projects aims to identify lifecycle information requirements for the operation and maintenance of buildings.
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