Development of a smart design system

施工过程的工业化（模块化和非现场方法）的主要优势是一个环保的施工过程，完成时间短，具有成本竞争力的技术。Fortislight gauge steel (LGS) Structures Inc.专注于在工厂生产墙壁和浴室单元，然后将它们运送到现场进行安装。由于他们的核心价值是减少现场施工时间，同时提高交付产品的质量，管理团队一直专注于减少工厂预制过程的周期时间，以提高生产率。然而，它在提高生产率方面的全部潜力尚未实现，因为制造过程中的劳动密集型任务需要许多非增值活动，其完成严重依赖于工人的直觉和经验，因为在车间图纸中缺乏建筑和结构信息（即，用于登机设计的切割模式）。在这方面，为了提高生产力，猜测和经验法则被科学和工程任务序列所取代。因此，我们提出了一个综合解决方案，其中包括以下程序：(1)识别可能导致生产力和安全性降低的问题，例如缺乏设计信息或繁重的物理需求；(2)开发一个框架，用于估算周期时间和效率评估，以建立影响施工方法（操作变量）、任务序列（物理需求变量）和设计变量（如墙壁和开放空间的尺寸）之间安全和生产力的相关因素；(3)开发智能设计系统，通过优化工程（例如板板布局）和物理需求（例如最小姿态风险）因素来确定墙板上的护墙板和干墙板布局。拟议的系统将尽量减少任务和材料利用的浪费（非增值活动）。该智能设计系统预计将被实施，以提高富通制造过程的生产率和安全性。

The primary advantages of industrialization of the construction process (modular and offsite method) are anenvironmentally-friendly construction process, short completion time, and cost-competitive technology. Fortislight gauge steel (LGS) Structures Inc. focuses on producing walls and bath units in their factory and then shipsthem to sites for installation. Since their core value is to reduce onsite construction time while improving thequality of the delivered product, the management team has focused on reducing the cycle time of theprefabrication process in the factory for better productivity. However, its full potential in terms of productivityimprovement has not yet been realized since labour-intensive tasks in the manufacturing process entail manynon-value added activities which its completion is heavily reliant on worker intuition and experience due to thelack of architectural and structural information (i.e., cutting patterns for boarding design) in the shop drawings.In this respect, the guesswork and rules of thumb are replaced with scientific and engineering sequences oftasks for productivity improvement. We thus propose an integrated solution which has the followingprocedures: (1) identification of issues such as lack of design information or heavy physical demands whichmay cause productivity and safety reduction; (2) development of a framework for estimating cycle time andefficiency evaluation to establish correlation factors which affects safety and productivity between constructionmethods (operational variables), sequences of tasks (physical demand variables), and design variables such asdimensions of walls and of opening space; and (3) development of a smart design system which determinessheathing and drywall sheet layout on wall panels by optimize engineering (e.g. boarding sheet layout) andphysical demand (e.g. minimum posture risk) factors. The proposed system will minimize wastes(non-value-adding activities) of tasks and material utilization. The smart design system is expected to beimplemented in order to improve productivity and safety of the Fortis manufacturing process.