Efficiency improvement of design and production through integration of advanced techniques

模块化建筑可以通过更有效和更具成本效益的方法建造，但在目前基于制造的方法中，设计和生产之间仍然存在差距。Civeo是北美最大的远程站点建筑和服务的完全集成供应商之一，在埃德蒙顿地区拥有两个模块化制造工厂。拟议研究的目的是通过在整个设计、工程和制造过程中提高效率和降低成本来提高Civeo的生产力。在拟议的方法中，首先需要将所有所需的信息预先加载到建筑信息建模（BIM）平台，作为改进设计和绘图的第一步。要预先加载到3D模型的信息包括材料数量清单和用于成本估算的建筑构件的尺寸属性。然后将进行时间研究，以量化每个站点组件制造的资源需求，从而从BIM模型中提取资源分配计划，以提高预算规划的准确性。另一个目标是为模块的制造、运输和组装制定准确和最佳的调度，这些调度将从BIM模型中提取，并通过模拟和优化模型进行分析。下一步将是将BIM模型与数学算法相结合，以优化材料使用。另一项任务是开发生产线的模拟可视化模型，在实施之前将制造过程可视化。拟议的研究预计将降低生产成本和时间;延长施工季节;并通过开发高效和具有成本效益的建筑制造系统来提高质量和耐用性。该研究项目的成功也将使加拿大受益，通过应用精益制造和设计和绘图自动化来提高加拿大建筑业的生产力和竞争优势。通过促进可持续的、低环境影响的材料、设计和实践的结合，拟议的研究还将有助于减少温室气体排放和废物。

Modular buildings can be built through a more efficient and cost-effective method, but in the current manufacturing-based approach a gap still exists between design and production. Civeo is one of North America's largest fully integrated suppliers of remote site buildings and services and has two modular manufacturing plants in the Edmonton area. The aim of the proposed research is to improve Civeo's productivity by targeting improved efficiency and cost reduction throughout the design, engineering, and manufacturing processes. In the proposed methodology, first all the required information needs to be front-loaded to a building information modelling (BIM) platform as the first step to improving design and drafting. Information to be frontloaded to the 3D model includes material quantity take-off lists and dimensional properties of building components to be used in cost estimation. A time study will then be performed in order to quantify resource requirements for component fabrication at each station in order to extract a resource allocation plan from the BIM model to increase accuracy in budget planning. Another goal is to develop accurate and optimal scheduling for manufacturing, transportation, and assembly of modules, which will be extracted from the BIM model and analyzed through simulation and an optimization model. The next step will be to integrate the BIM model with mathematical algorithms to optimize material usage. Another task will be to develop a simulation visualization model of the production line which visualizes the manufacturing process prior to implementation. The proposed study is expected to decrease production costs and time; extend the construction season; and increase quality and durability by developing an efficient and cost-effective construction manufacturing system. The success of this research project will also benefit Canada by improving productivity and the competitive advantage of the Canadian construction industry through the application of lean manufacturing and the automation of design and drafting. By facilitating the incorporation of sustainable, low environmental impact materials, designs, and practices, the proposed study will also serve to curtail GHG emissions and waste.