Matching Items (5)
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- All Subjects: Front End Planning
- Creators: Parrish, Kristen
Description
Building information modeling (BIM) has already sparked changes in design and construction practices, ranging from new methods to coordinate work during design to supporting paperless construction sites where crews use handheld devices in lieu of paper plans. It is seen as the starting point for the larger picture, virtual design and construction (VDC). While some research has explored the feasibility of using BIM for Facilities Management (FM) this practice is yet to become widely accepted and integrated. This paper explores how VDC could improve the operations of a Facilities Management department at a large state university. Specifically, the authors examine the degree to which institutional requirements foster BIM use during building operations, the ability of models to interface with existing FM software, and the willingness of FM executives to incorporate BIM into their processes. The authors also discuss the sorts of information contained in building models that FM could find most useful, and highlight those pieces of information required for FM that many building models do not contain. Finally, the paper closes with a set of recommendations about how to create building models that more seamlessly integrate into existing Facilities Management processes at the university studied, in order to draw a set of recommendations that may apply more broadly to state universities and similar institutions.
ContributorsHebel, Natasha Faith (Author) / Parrish, Kristen (Thesis director) / Ayer, Steven (Committee member) / Del E. Webb School of Construction (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Project teams expend substantial effort to develop scope definition during the front end planning phase of large, complex projects, but oftentimes neglect to sufficiently plan for small projects. An industry survey administered by the author showed that small projects make up approximately half of all projects in the infrastructure construction sector (by count), the planning of these projects varies greatly, and that a consistent definition of “small infrastructure project” did not exist. This dissertation summarizes the motivations and efforts of Construction Industry Institute (CII) Research Team 314a to develop a non-proprietary front end planning tool specifically for small infrastructure projects, namely the Project Definition Rating Index (PDRI) for Small Infrastructure Projects. The author was a member of CII Research Team 314a, who was tasked with developing the tool in September 2015. The author, together with the research team, scrutinized and adapted an existing infrastructure-focused FEP tool, the PDRI for Infrastructure Projects, and other resources to develop a set of 40 specific elements relevant to the planning of small infrastructure projects. The author along with the research team supported the facilitation of seven separate industry workshops where 71 industry professionals evaluated the element descriptions and provided element prioritization data that was statistically analyzed and used to develop a corresponding weighted score sheet. The tool was tested on 76 completed and in-progress projects, the analysis of which showed that small infrastructure projects with greater scope definition (based on the tool’s scoring scheme) outperformed projects with lesser scope definition regarding cost performance, schedule performance, change performance, financial performance, and customer satisfaction. Moreover, the author found that users of the tool on in-progress projects agreed that the tool added value to their projects in a timeframe and manner consistent with their needs, and that they would continue using the tool in the future. The author also conducted qualitative and quantitative similarities and differences between PDRI – Infrastructure and PDRI – Small Infrastructure Projects in support of improved planning efforts for both types of projects. Finally, the author piloted a case study that introduced the PDRI into an introductory construction management course to enhance students’ learning experience.
ContributorsElZomor, Mohamed A (Author) / Parrish, Kristen (Thesis advisor) / Gibson, Jr., G. Edward (Committee member) / El Asmar, Mounir (Committee member) / Arizona State University (Publisher)
Created2017
Description
Construction project teams expend substantial effort to develop scope definition during the front end planning phase of building projects but oftentimes neglect to sufficiently plan for the complexities of tribal building projects. A needs assessment conducted by the author comprising interviews with practitioners familiar with construction on tribal lands revealed the need for a front end planning (FEP) process to assess scope definition of capital projects on tribal lands. This dissertation summarizes the motivations and efforts to develop a front end planning tool for tribal building projects, the Project Definition Rating Index (PDRI) for Tribal Building Projects. The author convened a research team to review, analyze, and adapt an existing building-projects-focused FEP tool, the PDRI – Building Projects, and other resources to develop a set of 67 specific elements relevant to the planning of tribal building projects. The author supported the facilitation of seven workshops in which 20 industry professionals evaluated the element descriptions and provided element prioritization data that was statistically analyzed to develop a preliminary weighted score sheet that corresponds to the element descriptions. Given that the author was only able to collect complete data from 11 projects, definitively determining element weights was not possible. Therefore, the author leveraged a Delphi study to test the PDRI – Tribal Building Projects. Delphi study results indicate the PDRI – Tribal Building Projects element descriptions fully address the scope of tribal building projects, and 75 percent of panelists agreed they would use this tool on their next tribal project. The author also explored the PDRI – Tribal Building Projects tool through the lens of the Diné (Navajo) Philosophy of Sa’ąh Naagháí Bik’eh Hózhóón (SNBH) and the guiding principles of Nistáhákees (thinking), Nahat’á (planning), Iiná (living), and Sihasin (assurance/reflection). The results of the author’s research provides several contributions to the American Indian Studies, front end planning, and tribal building projects bodies of knowledge: 1) defining unique features of tribal projects, 2) explicitly documenting the synergies between Western and Diné ways of planning, and 3) creating a tool to assist in planning capital projects on tribal lands in the American Southwest in support of improved cost performance.
ContributorsArviso, Brianne (Author) / Parrish, Kristen (Thesis advisor) / Gibson, George E. (Committee member) / Hale, Michelle (Committee member) / Arizona State University (Publisher)
Created2022
Description
The International Energy Agency (IEA) anticipates the global energy demand to grow by more than 25% by 2040, requiring more than $2 trillion a year of investment in new energy supply (IEA, 2018). With power needs increasing as populations grow and climate extremes become more routine, power companies seek to continually increase capacity, improve efficiency, and provide resilience to the power grid, such that they can meet the energy needs of the societies they serve, often while trying to minimize their carbon emissions. Despite significant research dedicated to planning for industrial projects, including power generation projects as well as the pipeline projects that enable power generation and distribute power, there are still endemic cost overruns and schedule delays in large scale power generation projects. This research explores root causes of these seemingly systemic project performance issues that plague power generation projects. Specifically, this work analyzes approximately 770 power and pipeline projects and identifies how project performance indicators (i.e., cost and schedule performance) as well as planning indicators, compare in two regulatory environments, namely nonregulated and regulated markets. This contributes explicit understanding of the relationship between project performance and regulatory environment, both quantitatively and qualitatively, to the pipeline and power project planning and construction bodies of knowledge. Following an understanding of nonregulated versus regulated markets, this research takes a deeper dive into one highly-regulated power sector, the nuclear power sector, and explores root causes for cost overruns and schedule delays. This work leverages gray literature (i.e., newspaper articles) as sources, in order to analyze projects individually (most academic literature presents data about an aggregated set of projects) and understand the public perception of risks associated with such projects. This work contributes an understanding of the risks associated with nuclear power plant construction to the nuclear power plant construction body of knowledge. Ultimately, the findings from this research support improved planning for power and pipeline projects, in turn leading to more predictable projects, in terms of cost and schedule performance, regardless of regulatory environment. This enables power providers to meet the capacity demands of a growing population within budget and schedule.
ContributorsSherman, Rachael Paige (Author) / Parrish, Kristen (Thesis advisor) / Gibson Jr., G. Edward (Committee member) / Lamanna, Anthony (Committee member) / Arizona State University (Publisher)
Created2020
Description
Project teams expend substantial effort to develop scope definition during the front end planning phase of large, complex projects, but oftentimes neglect to sufficiently plan for small projects. An industry survey administered by the author showed that small projects make up 70-90 percent (by count) of all projects in the industrial construction sector, the planning of these project varies greatly, and that a consistent definition of “small industrial project” did not exist. This dissertation summarizes the motivations and efforts to develop a non-proprietary front end planning tool specifically for small industrial projects, namely the Project Definition Rating Index (PDRI) for Small Industrial Projects. The author was a member of Construction Industry Institute (CII) Research Team 314, who was tasked with developing the tool in May of 2013. The author, together with the research team, reviewed, scrutinized and adapted an existing industrial-focused FEP tool, the PDRI for Industrial Projects, and other resources to develop a set of 41 specific elements relevant to the planning of small industrial projects. The author supported the facilitation of five separate industry workshops where 65 industry professionals evaluated the element descriptions, and provided element prioritization data that was statistically analyzed and used to develop a weighted score sheet that corresponds to the element descriptions. The tool was tested on 54 completed and in-progress projects, the author’s analysis of which showed that small industrial projects with greater scope definition (based on the tool’s scoring scheme) outperformed projects with lesser scope definition regarding cost performance, schedule performance, change performance, financial performance, and customer satisfaction. Moreover, the author found that users of the tool on in-progress projects overwhelmingly agreed that the tool added value to their projects in a timeframe and manner consistent with their needs, and that they would continue using the tool in the future. The author also developed an index-based selection guide to aid PDRI users in choosing the appropriate tool for use on an industrial project based on distinguishing project size with indicators of project complexity. The final results of the author’s research provide several contributions to the front end planning, small projects, and project complexity bodies of knowledge.
ContributorsCollins, Wesley A (Author) / Parrish, Kristen (Thesis advisor) / Gibson, Jr., G. Edward (Committee member) / El Asmar, Mounir (Committee member) / Arizona State University (Publisher)
Created2015