Resilient, event-driven construction management systems

据估计，未来5年，建筑行业将代表加拿大未来计划的能源和基础设施项目价值超过5000亿美元。为了抓住这一机遇，占加拿大国内生产总值约6%的建筑业必须通过提高生产率和绩效来保持在全球市场上的竞争力。决策过程已被确定为影响各个工业部门的公司生产力和盈利能力的关键因素。虽然建筑从业者经常使用决策支持系统产生的估计和预测来告知关键的决策过程，但这些系统很难处理当意外地将变化引入建筑系统时产生的可变性。这降低了从业者做出有效的、明智的决策的能力，这通常会导致次优的项目执行。事实上，建设项目的结果很少反映计划项目的基线，这种现象在大型项目中被放大了，在大型项目中，成本超支和进度延迟往往是常态，而不是例外。因此，现代化决策支持系统以提高规划效率是加拿大建筑行业改进的关键领域。******建议的研究旨在以我的研究小组的专业知识为基础，并利用模拟科学的新进展来提高当前决策支持系统的可靠性。具体而言，我们将重点关注(1)了解可变性对施工操作的来源和影响，(2)研究和开发能够适应和分析这种可变性的新型基于模拟的方法，以及(3)研究如何将这些方法整合到一个全面而实用的决策支持系统中。这些进步将使高保真模拟的发展能够通过实时构建数据快速重新校准，并将为从业者提供新颖而独特的能力，以根据需要更新准确的项目信息。预计这将增强风险缓解、计划效率，并最终提高生产率。这些进步，加上HQP的培训，预计将使我们的研究和从业人员处于世界范围内建筑项目交付技术创新的最前沿，为加拿大建筑业提供独特的竞争优势。

The construction sector is estimated to represent over $500 billion worth of future planned energy and infrastructure projects in Canada over the next 5 years. To take advantage of this opportunity, the construction sector in Canadaaccounting for approximately 6% of the country's gross domestic productmust remain competitive within the global market through improved productivity and performance. Decision-making processes have been identified as a key factor influencing productivity and profitability of companies across a variety of industrial sectors. While construction practitioners often use estimates and forecasts generated by decision-support systems to inform critical decision-making processes, these systems have difficulty dealing with the variability that arises when changes are unexpectedly introduced into construction systems. This reduces the ability of practitioners to make effective, informed decisions, which often results in sub-optimal project execution. Indeed, construction project outcomes rarely reflect planned project baselinesa phenomenon that is magnified for larger, mega-projects, where cost overruns and schedule delays are often the norm rather than the exception. Modernizing decision-support systems to enhance planning efficiency, therefore, represents a key area of improvement within the Canadian construction industry.******The proposed research aims to build upon the expertise of my research group and to utilize novel advancements in simulation science to improve the reliability of current decision-support systems. Specifically, we will focus on (1) understanding the sources and impact of variability on construction operations, (2) researching and developing novel simulation-based methods that are capable of accommodating and analyzing this variability, and (3) examining ways to improve the integration of these methods into a comprehensive, yet practical, decision-support system. These advances will enable the development of high-fidelity simulations that are rapidly recalibrated by as-built data in real-time and will provide practitioners with the novel and unique ability to be updated with accurate project information as required. This is expected to result in enhanced risk mitigation, planning efficiency, and, ultimately, in increased productivity. Such advancements, coupled with the training of HQP, are expected to place our research and practitioners at the forefront of technological innovations in construction project delivery world-wide, offering a unique, competitive advantage to the Canadian construction sector at-large.