Impact of qualifications-based selection of engineering services on project outcomes**

随着政府组织外包服务的扩大，加拿大各地对专业建筑和工程服务的采购也在增加。为了保持公平和透明度，公共机构在对A/E服务进行招标时经常使用基于价格的采购程序。然而，A/E顾问的业绩已被证明会影响已建设施的质量和成本。虽然A/E服务的性能可以影响项目交付，影响项目成果的资格类型，以及它们影响性能的程度，仍然是建筑工程和管理文献中相对未探讨的方面。将这些知识封装到一个可实施的决策支持系统中，将使采购者能够为其特定项目选择最佳服务提供商，确保在加拿大建造的设施更加高效、创新、用户友好、可持续和安全。预计采用基于资格的选择方法将减少建筑成本，这将使政府机构能够为更多项目提供资金，进一步加强向公众提供的服务，同时增加公众对纳税人资金分配给A/E公司的信心，这些公司为加拿大人提供最佳性价比。* 拟议研究的目标是定义，评估和预测A/E资格对加拿大项目成果的影响，并将此知识作为行业决策支持工具。将确定影响A/E绩效的资格，量化这些因素对历史项目成果的影响，并开发能够预测各种A/E资格对未来项目成果影响的模拟模型。总而言之，拟议的研究旨在以决策支持工具的形式开发一种基于资格的选择程序，各组织可以使用该程序在采购决策期间公平和透明地考虑A/E服务的质量沿着投标价格。

As outsourcing of services by governmental organizations expands, procurement of professional Architectural and Engineering (A/E) services is increasing across Canada. In an effort to maintain fairness and transparency, public organizations often use a price-based procurement process when awarding bids for A/E services. Performance of A/E consultants, however, has been shown to influence the quality and cost of built facilities. Although the performance of A/E services can impact project delivery, the types of qualifications that affect project outcomes, as well as the magnitude by which they affect performance, remains a relatively unexplored aspect of construction engineering and management literature. Encapsulating such knowledge into an implementable decision-support system would allow procurers to select the optimum service providers for their particular project, ensuring that facilities built in Canada are more efficient, creative, user-friendly, sustainable, and safe. Reductions in construction costs expected to arise from adopting a qualifications-based selection approach would allow government agencies to fund additional projects, further enhancing the services provided to the public while increasing the public's confidence that taxpayer funds are being allocated to A/E firms that are providing Canadians with the best value for their money. ****The goal of the proposed research is to define, assess, and predict the impact of A/E qualifications on project outcomes in Canada and to encapsulate this knowledge as a decision-support tool for industry. Qualifications impacting A/E performance will be identified, the impact of these factors on historical project outcomes will be quantified, and a simulation model capable of predicting the impact of various A/E qualifications on future project outcomes will be developed. Altogether, the proposed research aims to develop a qualification-based selection procedure, in the form of a decision-support tool, which can be used by various organizations to fairly and transparently consider the quality of A/E services along with bid price during procurement decisions.****