Dynamic Planning and control Methodology (DPM) for Large-Scale Concurrent Design and Construction Projects

项目摘要：近年来，并行设计与施工方法在建筑业得到了广泛的应用，因为它具有缩短项目交付时间的潜力。然而，这种方法的应用增加了项目执行中的不确定性和复杂性。这可以归因于这种方法的高度动态性质，除其他事项外，它要求在设计完成之前开始施工，这不可避免地导致迭代的质量改进行动和变化周期。这些频繁的迭代周期对项目绩效产生了动态而重大的影响，这很难使用现有的计划理论进行量化和建模。为了应对这些严峻而紧迫的挑战，将开发一种动态计划和控制方法(DPM)，以促进为大型并行设计和施工项目制定稳健和动态的施工计划。这项研究旨在通过确定和量化错误和变更的迭代周期的影响，并开发一个全面的质量和变更管理框架，为项目经理提供对并行设计和施工过程的动态的洞察。这一框架将被用来制定动态缓冲战略，以降低对错误和变化的迭代周期的敏感性。最后，正在实施一个全面的基于代理的动态项目模型，以加强设计和施工行业的学习，并将模拟方法的适用性扩展到整体项目管理。预计DPM的这些进展将通过降低成本、避免延误、提高质量、消除适得其反的纠纷以及改善总体项目管理，使并行设计和建设项目的整个生命周期受益。为了扩大研究影响和加强研究成果的传播，项目组计划整合教育战略，在理论和实践之间提供良好的平衡。正在开发一个以实验室为基础的以问题为导向的协作学习工作室、一个全面的两个学期的工程硕士项目和实地实习，以使学生和实践者能够在现实环境中联系实际并利用DPM研究成果。

Project Abstract: The concurrent design and construction method has been widely used in the construction industry in recent years because of its potential to shorten project delivery time. The application of this method, however, leads to increased levels of uncertainty and complexity in project execution. This can be attributed to the highly dynamic nature of this method, which among other things requires construction to start prior to the completion of design and which inevitably leads to iterative quality improvement actions and change cycles. These frequent iterative cycles create dynamic and significant impacts on project performance that are hard to quantify and model using available planning theories. In order to address these serious and urgent challenges, a Dynamic Planning and control Methodology (DPM) will be developed to facilitate the development of robust and dynamic construction plans for large-scale concurrent design and construction projects. This research aims to provide project managers with insight into the dynamics of concurrent design and construction processes by identifying and quantifying the impact of the iterative cycles of errors and changes, and developing a comprehensive quality and change management framework. This framework will be utilized to develop dynamic buffering strategies for reducing sensitivity to iterative cycles of errors and changes. Finally, a comprehensive agent-based dynamic project model is being implemented in order to enhance learning in the design and construction industry, and to extend the applicability of simulation methodologies to overall project management. These developments in DPM are expected to benefit the entire life cycle of concurrent design and construction projects by reducing costs, avoiding delays, increasing quality, eliminating counterproductive disputes, and improving project management in general. To broaden research impacts and enhance dissemination of the research results, the project team plans to integrate educational strategies that provide a well-grounded balance between theory and practice. A laboratory-based problem-driven collaborative learning studio, a comprehensive two semester's Master of Engineering project, and field-based internships are being developed to provide students and practitioners with the ability to contextualize and utilize DPM research findings in a real-world environment.