Modeling and Automation of Industrial Construction Operations

工业建筑运营的建模和自动化

• 批准号: RGPIN-2017-05078
• 负责人: Mohamed, Yasser
• 金额: $ 2.48万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=711337
• 关键词: Modeling; Automation; Industrial; Construction; Operations

Industrial construction projects represent a significant sector of the Canadian economy. These projects involve large investments from the energy sector and support thousands of jobs and are subject to competition from overseas construction companies. Modular construction is a common practice for industrial construction especially on Canadian oil-sand projects. In modular construction, most of the project is assembled from pre-fabricated components that are custom built off-site according to unique designs. These components include thousands of pipe spools, equipment and vessels, and structural steel elements. They are shipped to site either separately or pre-assembled in modular units for final installation. Industrial construction projects are often fast tracked and involve millions of man-hours provided by several parties along the engineering, procurement, fabrication, and site installation phases. The performance of operations in these phases is affected by the unique designs of the different components, design changes that happens during construction, deviations in material delivery by different suppliers, and availability of resources. This results in a fairly complex supply chain that can easily cause project cost and schedule overruns if not properly managed and optimized. Optimizing these operations is of great importance to retain the best value for investors in this sector and to maintain an advantage for Canadian contractors to be able to compete and export their know-how in an increasingly competitive global market. The objective of this proposed research is to investigate and develop models to represent operations in key industrial construction project delivery phases and suggest alternative solutions to optimize the performance during these phases. More specifically it will focus on 1) the analysis and representation of components data structures. These components are uniquely designed for each project but share some degree of repetition between projects. We aim at representing the data structures of these components in a way that allows us to analyze the similarities between projects and thus have better estimates of resource requirements and schedule expectations and develop methods for optimizing the packaging of these components into modules to minimize field work. The research will also target 2) the development of new process modeling approaches suitable for capturing the dynamics of site installation operations where out-of-sync component delivery, variation in trade man-hours availability, and congestion constrains are usually present and cannot be easily handled by traditional planning tools. Finally, the research will 3) suggest and test alternative methods for planning and predicting delivery dates during off-site fabrication and assembly operations using select data mining algorithms.

工业建设项目是加拿大经济的重要组成部分。这些项目涉及能源部门的大量投资，支持数千个就业岗位，并受到海外建筑公司的竞争。模块化施工是工业建筑的普遍做法，特别是在加拿大的油砂项目中。在模块化建筑中，大部分项目都是由预制组件组装而成，这些组件是根据独特的设计在现场定制的。这些部件包括成千上万的管轴、设备和容器以及结构钢元件。它们可以单独运送到现场，也可以预先组装成模块进行最终安装。工业建设项目通常是快速跟踪的，在工程、采购、制造和现场安装阶段，涉及由几个方面提供的数百万工时。这些阶段的操作性能受到不同组件的独特设计、施工过程中发生的设计变更、不同供应商的材料交付偏差以及资源可用性的影响。这导致了一个相当复杂的供应链，如果没有适当的管理和优化，很容易导致项目成本和进度超支。优化这些操作对于为该领域的投资者保留最佳价值以及保持加拿大承包商在竞争日益激烈的全球市场中竞争和出口其专业知识的优势非常重要。