Resilient, event-driven construction management systems

据估计，建筑行业代表着加拿大未来5年计划中的能源和基础设施项目，价值超过5000亿美元。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%，必须通过提高生产率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种工业部门的公司生产率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为关键的决策过程提供信息，但这些系统很难处理当意外地将变化引入建筑系统时出现的变异性。这降低了实践者做出有效的、知情的决策的能力，这通常会导致次优的项目执行。事实上，建设项目成果很少反映计划的项目基线，这一现象在较大的大型项目中被放大，在这些项目中，成本超支和进度延误往往是常态，而不是例外。因此，使决策支持系统现代化以提高规划效率是加拿大建筑业改进的一个关键领域。 这项拟议的研究旨在建立在我的研究小组的专业知识基础上，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。具体地说，我们将侧重于(1)了解可变性的来源和对施工作业的影响，(2)研究和开发能够适应和分析这种可变性的基于模拟的新方法，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。这些进展将使高保真模拟的开发成为可能，这些模拟将由建成数据实时快速重新校准，并将为从业人员提供新颖和独特的能力，以根据需要更新准确的项目信息。预计这将提高风险缓解、规划效率，并最终提高生产率。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走在全球建筑项目交付技术创新的前沿，为整个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.