abstract: The construction industry generates tremendous amounts of data every day. Data can inform practitioners to increase their project performance as well as the quality of the resulting built environment. The data gathered from each stage has unique characteristics, and processing them to the appropriate information is critical. However, it is often difficult to measure the impact of the research across project phases (i.e., planning, design, construction, operation and maintenance, and end-of-life). The goal of this dissertation is to present how industry data can be used to make an impact on construction practices and test a suite of methods to measure the impact of construction research across project phases. The dissertation provides examples of impactful research studies for each project phase to demonstrate the collection and utilization of data generated from each stage and to assess the potential tangible impact on construction industry practices. The completed studies presented both quantitative and qualitative analyses. The first study focuses on the planning phase and provides a practice to improve frond end planning (FEP) implementation by developing the project definition rating index (PDRI) maturity and accuracy total rating system (MATRS). The second study uses earned value management system (EVMS) information from the design and construction phases to support reliable project control and management. The dissertation then provides a third study, this time focusing on the operations phase and comparing the impact of project delivery methods using the international roughness index (IRI). Lastly, the end-of-life or decommissioning phase is tackled through a study that gauges the monetary impact of the circular economy concept applied to reuse construction and demolition (C&D) waste. This dissertation measures the impact of the research according to the knowledge mobilization (KMb) theory, which illustrates the value of the work to the public and to practitioners. / Dissertation/Thesis / Doctoral Dissertation Civil, Environmental and Sustainable Engineering 2020

知識管理在二十一世紀已成為世界的潮流，深深影響了人類的經濟活動，組織知識亦躍升成為企業內最重要的資產，在全球化的趨勢中為企業提供競爭力的泉源。現今大部份的知識管理系統研究，均從企業管理的角度，針對知識管理模型、知識管理成功因素等問題進行探討，但對於製造工廠基層中實際存在的核心知識管理方法，卻未見有相關的研究加以探討。在製造業中，企業最寶貴的工程製造技術知識是散佈在生產製造流程的各個工作程序與人員中，企業必須有系統的收集彙總後，始能有效運用、發展與持續企業的競爭力。 / 知識管理重在知識的分享，本研究建立的「製程整合知識庫」為知識的分享建立良好的基礎，對於新晶圓廠建廠生命週期運轉階段的製程技術移轉工作亦能提供協助，利用相似性移轉的方法，將「製程整合知識庫」完整移轉至新晶圓廠，可以提高製程的穩定度、提昇產品的良率，達到穩定製程的移轉安裝工作、縮短新晶圓廠量產運轉所需時間的目的。此外，對於營運中的工廠而言，「製程整合知識庫」也可協助檢視生產線上的缺失，以提昇產品品質與生產效率。