Resilient, event-driven construction management systems

据估计，建筑业在未来5年内将为加拿大未来规划的能源和基础设施项目提供价值超过5000亿美元的资金。为了利用这一机会，加拿大的建筑业（约占该国国内生产总值的6%）必须通过提高生产力和业绩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工业部门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，以通知关键的决策过程，这些系统有困难处理时出现的变化，意外引入施工系统。这降低了从业人员做出有效、明智决策的能力，这往往导致项目执行不佳。实际上，建筑项目的成果很少反映计划的项目基准-这一现象在大型项目中更为严重，因为在这些项目中，成本超支和进度拖延往往是正常现象，而不是例外。现代化的决策支持系统，以提高规划效率，因此，在加拿大建筑industry.The建议的研究的目的是建立在我的研究小组的专业知识，并利用模拟科学的新进展，以提高当前的决策支持系统的可靠性，改善的一个关键领域。具体来说，我们将专注于（1）了解施工作业的可变性的来源和影响，（2）研究和开发新的基于模拟的方法，能够适应和分析这种可变性，以及（3）研究如何改善这些方法的集成到一个全面的，但实用的，决策支持系统。这些进步将使高保真模拟的开发能够通过实时竣工数据快速重新校准，并将为从业者提供新颖独特的能力，以便根据需要更新准确的项目信息。预计这将有助于减少风险，提高规划效率，并最终提高生产力。这些进步，再加上HQP的培训，预计将使我们的研究和从业人员处于全球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.