Matching Items (2)
Description
Many public agencies and/or private owners have no standards that help them to select the most suitable delivery method for their capital projects; hence, in some cases, this results in selecting the inappropriate project delivery method. This adversely impacts the project performance and leads to many negative consequences; starting with schedule growth, cost overrun, and may end up in an epic failure of the project. This research mainly focuses on developing a guideline to help owners make the decision on selecting the most appropriate delivery method for their capital projects. This research goes through three stages: Stage 1 - An extensive literature review of past research is conducted to conclude the selection factors considered in the decision-making process and the decision analysis technique and the project delivery methods; Stage 2 - This stage includes building up the selection model and setting out its guidelines; Stage 3 - This is the final stage of the research thread and includes the validation of the selection model through applying this model on some case study projects by industry practitioners, then evaluating the final results. The owner’s guideline for project delivery method selection, developed within this research, is designed to help owners increase the project success likelihood by selecting the suitable project delivery methods during the pre-construction phase (planning phase of the project life cycle).
ContributorsSallam, Omar Mohamed (Author) / Sullivan, Kenneth (Thesis advisor) / Hurtado, Kristen (Committee member) / Kutz, Barry (Committee member) / Arizona State University (Publisher)
Created2021
Description
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.
ContributorsCho, Namho (Author) / El Asmar, Mounir (Thesis advisor) / Gibson, George (Committee member) / Kaloush, Kamil (Committee member) / Arizona State University (Publisher)
Created2020