This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.

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Description
Owner organizations in the architecture, engineering, and construction (AEC) industry are presented with a wide variety of project delivery approaches. Implementation of these approaches, while enticing due to their potential to save money, reduce schedule delays, or improve quality, is extremely difficult to accomplish and requires a concerted change management

Owner organizations in the architecture, engineering, and construction (AEC) industry are presented with a wide variety of project delivery approaches. Implementation of these approaches, while enticing due to their potential to save money, reduce schedule delays, or improve quality, is extremely difficult to accomplish and requires a concerted change management effort. Research in the field of organizational behavior cautions that perhaps more than half of all organizational change efforts fail to accomplish their intended objectives. This study utilizes an action research approach to analyze change message delivery within owner organizations, model owner project team readiness and adoption of change, and identify the most frequently encountered types of resistance from lead project members. The analysis methodology included Spearman's rank order correlation, variable selection testing via three methods of hierarchical linear regression, relative weight analysis, and one-way ANOVA. Key findings from this study include recommendations for communicating the change message within owner organizations, empirical validation of critical predictors for change readiness and change adoption among project teams, and identification of the most frequently encountered resistive behaviors within change implementation in the AEC industry. A key contribution of this research is the recommendation of change management strategies for use by change practitioners.
ContributorsLines, Brian (Author) / Sullivan, Kenneth (Thesis advisor) / Wiezel, Avi (Committee member) / Badger, William (Committee member) / Arizona State University (Publisher)
Created2014
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Description
Semiconductor manufacturing facilities are very complex and capital intensive in nature. During the lifecycle of these facilities various disciplines come together, generate and use a tremendous amount of building and process information to support various decisions that enable them to successfully design, build and sustain these advanced facilities. However, a

Semiconductor manufacturing facilities are very complex and capital intensive in nature. During the lifecycle of these facilities various disciplines come together, generate and use a tremendous amount of building and process information to support various decisions that enable them to successfully design, build and sustain these advanced facilities. However, a majority of the information generated and processes taking place are neither integrated nor interoperable and result in a high degree of redundancy. The objective of this thesis is to build an interoperable Building Information Model (BIM) for the Base-Build and Tool Installation in a semiconductor manufacturing facility. It examines existing processes and data exchange standards available to facilitate the implementation of BIM and provides a framework for the development of processes and standards that can help in building an intelligent information model for a semiconductor manufacturing facility. To understand the nature of the flow of information between the various stakeholders the flow of information between the facility designer, process tool manufacturer and tool layout designer is examined. An information model for the base build and process tool is built and the industry standards SEMI E6 and SEMI E51 are used as a basis to model the information. It is found that applications used to create information models support interoperable industry standard formats such as the Industry Foundation Classes (IFC) and ISO 15926 in a limited manner. A gap analysis has revealed that interoperability standards applicable to the semiconductor manufacturing industry such as the IFC and ISO15926 need to be expanded to support information transfers unique to the industry. Information modeling for a semiconductor manufacturing facility is unique in that it is a process model (Process Tool Information Model) within a building model (Building Information Model), each of them supported more robustly by different interoperability standards. Applications support interoperability data standards specific to the domain or industry they serve but information transfers need to occur between the various domains. To facilitate flow of information between the different domains it is recommended that a mapping of the industry standards be undertaken and translators between them be developed for business use.
ContributorsPindukuri, Shruthi (Author) / Chasey, Allan D (Thesis advisor) / Wiezel, Avi (Committee member) / Mamlouk, Michael (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Front end planning (FEP) is an essential and valuable process that helps identify risks early in the capital project planning phases. With effective FEP, risks can potentially be mitigated through development of detailed scope definition and subsequent efficient project resource use. The thesis describes the FEP process that has been

Front end planning (FEP) is an essential and valuable process that helps identify risks early in the capital project planning phases. With effective FEP, risks can potentially be mitigated through development of detailed scope definition and subsequent efficient project resource use. The thesis describes the FEP process that has been developed over the past twenty years by the Construction Industry Institute (CII). Specifically, it details the FEP tools developed for early project planning and the data gathered to analyze the tools used within the CII community. Data from a March 2011 survey are given showing the tools commonly used, how those tools are used and the common barriers faced that prohibit successful FEP implementation. The findings from in-depth interviews are also shared in the thesis. The interviews were used to gather detail responses from organizations on the implementation of their FEP processes. In total, out of the 116 CII organizations, 59 completed the survey and over 75 percent of the respondents used at least one CII tool in their front end planning processes. Of the 59 survey respondents, 12 organizations participated in the in-depth interviews. The thesis concludes that CII organizations continue to find value in CII FEP tools due to the increase tool usage. Also the thesis concludes that organizations must have strong management commitment, smart succession planning and a standardized planning process to increase the likelihood of successful FEP strategies.
ContributorsBosfield, Roberta Patrice (Author) / Gibson, G.Edward (Thesis advisor) / Wiezel, Avi (Committee member) / Ernzen, James (Committee member) / Arizona State University (Publisher)
Created2012
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Description
Implementing Building Information Modeling (BIM) in construction projects has many potential benefits, but issues of projects can hinder its realization in practice. Although BIM involves using the technology, more than four-fifths of the recurring issues in current BIM-based construction projects are related to the people and processes (i.e., the non-technological

Implementing Building Information Modeling (BIM) in construction projects has many potential benefits, but issues of projects can hinder its realization in practice. Although BIM involves using the technology, more than four-fifths of the recurring issues in current BIM-based construction projects are related to the people and processes (i.e., the non-technological elements of BIM). Therefore, in addition to the technological skills required for using BIM, educators should also prepare university graduates with the non-technological skills required for managing the people and processes of BIM. This research’s objective is to develop a learning module that teaches the non-technological skills for addressing common, people- and process-related, issues in BIM-based construction projects. To achieve this objective, this research outlines the steps taken to create the learning module and identify its impact on a BIM course. The contribution of this research is in the understanding of the pedagogical value of the developed problem-based learning module and documenting the learning module’s development process.
ContributorsAbdul Rahman, Abdul Rahimi Bin (Author) / Ayer, Steven K (Thesis advisor) / Tang, Pingbo (Committee member) / Wiezel, Avi (Committee member) / Arizona State University (Publisher)
Created2018
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Description
Planning efforts conducted during the early stages of a construction project, known

as front end planning (FEP), have a large impact on project success and significant

influence on the configuration of the final project. As a key component of FEP, front end

engineering design (FEED) plays an essential role in the overall success

Planning efforts conducted during the early stages of a construction project, known

as front end planning (FEP), have a large impact on project success and significant

influence on the configuration of the final project. As a key component of FEP, front end

engineering design (FEED) plays an essential role in the overall success of large industrial

projects. The primary objective of this dissertation focuses on FEED maturity and accuracy

and its impact on project performance. The author was a member of the Construction

Industry Institute (CII) Research Team (RT) 331, which was tasked to develop the FEED

Maturity and Accuracy Total Rating System (FEED MATRS), pronounced “feed matters.”

This dissertation provides the motivation, methodology, data analysis, research findings

(which include significant correlations between the maturity and accuracy of FEED and

project performance), applicability and contributions to academia and industry. A scientific

research methodology was employed in this dissertation that included a literature review,

focus groups, an industry survey, data collection workshops, in-progress projects testing,

and statistical analysis of project performance. The results presented in this dissertation are

based on input from 128 experts in 57 organizations and a data sample of 33 completed

and 11 on-going large industrial projects representing over $13.9 billion of total installed

cost. The contributions of this work include: (1) developing a tested FEED definition for

the large industrial projects sector, (2) determining the industry’s state of practice for

measuring FEED deliverables, (3) developing an objective and scalable two-dimensional

method to measure FEED maturity and accuracy, and (4) quantifying that projects with

high FEED maturity and accuracy outperformed projects with low FEED maturity and

accuracy by 24 percent in terms of cost growth, in relation to the approved budget.
ContributorsYussef, Abdulrahman (Author) / Gibson, Jr., G. Edward (Thesis advisor) / El Asmar, Mounir (Thesis advisor) / Bearup, Wylie (Committee member) / Wiezel, Avi (Committee member) / Arizona State University (Publisher)
Created2019