Measuring project health and engineering progress in complex capital projects at early phases

需要在复杂的基本建设项目的早期阶段改进对项目健康和工程进展的衡量，以改善其业绩。在一个100亿美元的资本项目上，性能失败可能会导致数十亿美元的成本超支。因此，本研究项目的目标是通过集成BIM和IM，开发用于在早期阶段测量复杂资本项目中的项目健康和工程进度的算法，并开发以语义丰富和有用的形式可视化此进度和健康的方法。为了实现这一目标，必须发展目前用于复杂项目早期阶段的主要协作和管理系统之间的关系。这些系统包括界面管理系统（IMS）、建筑信息建模（BIM）系统（以及它们的工业和基础设施等效物）和传统的基于关键路径方法（CPM）的项目管理系统。需要了解协作、文档、电子产品、流程、工作流程和数据库管理系统等相关服务以及云计算服务。使用这些系统，将展示进展和健康测量的自动化和可视化。所开发的算法和方法的验证将包括专家评估、案例研究、功能演示和已成功用于软件工程项目以检测代码问题的修改的突变测试技术。作为研究的结果，项目参与者和利益相关者将拥有一套新的工具，帮助他们更成功地管理复杂资本项目的早期阶段。因此，我们为复杂的资本项目支付的费用应该减少。

Improved measurement of project health and engineering progress at the early phases of complex capital projects is required in order to improve their performance. On a ten billion dollar capital project, performance failures can cost billions in cost overruns. Therefore, the objective of this research project is to develop algorithms for measuring project health and engineering progress in complex capital projects at early phases by integrating BIM and IM, and to develop methods to visualize this progress and health in semantically rich and useful forms. To achieve this objective, relations among currently dominant collaboration and management systems used for the early phases of complex projects must be developed. Such systems include Interface Management Systems (IMS), Building Information Modeling (BIM) systems (as well as their industrial and infrastructure equivalents), and conventional Critical Path Method (CPM) based project management systems. Awareness of associate services such as collaboration, document, electronic product, process, workflow and database management systems is required, as well as cloud computing services. Using these systems, automation and visualization of progress and health measurements will be demonstrated. Validation of the algorithms and methods developed will include experts' assessments, case studies, functional demonstration, and modified mutation testing techniques that have been successfully used in software engineering projects to detect code problems. As a result of the research, project participants and stakeholders will have a new set of tools that will help them more successfully manage the early phases of complex capital projects. Thus, what we pay for complex capital projects should decrease.