This study provides preliminary observations of the state of Benefits Realization Management (BRM) in the context of university capital projects. The study uses a survey tool to seek i) evidence that universities are using Benefits Realization Management methods; and ii) evidence that universities may be facing challenges to obtaining strategic benefits from their capital construction projects. By interpreting the survey data and employing a linear regression model, early observations suggest that universities are only sparingly using BRM, and that the delivery of benefits is a problem for university capital projects. These findings suggest the need for additional research focused on developing a statistically predictive model for benefits realization and identifying best practices for Benefits Realization Management (BRM) within the university setting.

Identifying the hindrances to performing effective talent acquisition within the science, technology, engineering, and mathematics field is an important topic for technical hiring managers. Top candidates have multiple options during highly competitive market conditions requiring managers to look for unique solutions which diverge from competition. Prior to this study there has been very little research considering national laboratory research and development challenges from a technical hiring manager’s talent acquisition perspective. Utilizing a unique combination of national laboratory multi-organization survey, pilot study, Human Resource (HR) tracking data and trust based business strategy to enhance partnering this research finds hiring managers can leverage out of the box techniques to improve internal processes while developing industry support to target highly qualified individuals. This methodology could be utilized by technical hiring managers across federal national laboratory enterprise to effectively capture next generation staff and leadership talent who align with their organization professionally as well as social culture.

Large-scale civil infrastructure systems are critical for the functioning and development of any society. However, these systems are often vulnerable to degradation and the effects of aging, necessitating consistent monitoring and maintenance. Current methods for infrastructure maintenance primarily rely on human intervention and need the implementation of advanced sensing and computing technologies in field operations and maintenance (O&M) tasks. This research aimed to address these gaps and provide novel contributions. Specifically, the objectives of this study were to leverage artificial intelligence models to enhance point cloud noise processing, to automate tree species detection using Mask R-CNN, and to integrate imagery data and LiDAR datasets for real-time terrain analysis. First, the study proposed leverages neural networks to eliminate unwanted noise from point cloud datasets, enhancing the accuracy and reliability of infrastructure data. Secondly, the research integrated Mask R-CNN into automated tree species detection. This component offers an efficient solution to identify and classify vegetation surrounding infrastructure, enabling infrastructure managers to devise proactive vegetation management strategies, thereby reducing risks associated with tree-related incidents. Lastly, the study fused image and LiDAR datasets to support real-time terrain analysis. This integrated approach provides a comprehensive understanding of terrain characteristics, allowing infrastructure managers to assess slope, elevation, and other relevant factors, facilitating proactive maintenance interventions and mitigating risks associated with erosion. These contributions collectively underscore the potential of artificial intelligence models in advancing the operations and maintenance practices of large civil infrastructure systems. By leveraging these models, infrastructure managers can optimize decision-making processes, streamline maintenance efforts, and enhance critical infrastructure networks' overall resilience and sustainability.

The construction industry is the backbone of any country’s economy. It is a primary source of foreign investments, creates new jobs, and maintains the economy flowing in various trades. Accurate cost estimation is a critical aspect for the construction industry, directly impacting project success and profitability. This master's thesis focuses on comprehensively identifying the key factors that influence cost estimation and provides valuable recommendations for constructing an optimized Artificial Neural Network (ANN) model. Through an extensive research methodology encompassing literature review, surveys, and interviews with industry professionals, this study uncovers significant factors that exert a substantial impact on cost estimation practices. The findings emphasize the importance of seamlessly integrating project delivery systems, meticulously considering project duration, and incorporating diverse perspectives from global regions. By incorporating these insights, stakeholders can make informed decisions, enhance project planning, and elevate overall project performance. This study successfully bridges the gap between theory and practice, presenting invaluable insights for stakeholders within the construction industry. Keywords: cost estimation, construction industry, Artificial Neural Network, factors, project delivery systems, project duration, global perspectives, informed decision-making, project planning, project performance

ABSTRACT Upon joining Arizona State University in July 2017, the author, a registered architect, inherited the oversight of the University Project Design Guidelines. During the following four years, revisions were made to the Project Design Guidelines and implemented for ongoing and future new construction and renovation work at all five Arizona State University campuses. During this time, it became evident that many projects were not following guidelines resulting in costly rework, or hastily submitted variance requests to avoid or replace the design guidelines, typically during, versus prior to, construction. Tracking of these variance requests began in Summer 2020 identifying some commonly requested variance items for discussion by the Project Guidelines Steering Committee. In June 2021, a progressive design-build solicitation was held for a new campus building. During the interview process it was evident that not all parties on the design-build team (owner, architect and general contractor) had the same understanding of the role, importance, or reasoning for project design guidelines. The confusion demonstrated during the variance and interview process made the author curious as to the overall sentiment of design standards in the industry. What areas of project guidelines are emphasized by universities? Is there a correlation between guideline information and the greatest/least amount of construction costs? Can universities be better served by focusing on a comprehensive understanding and implementation of project design guidelines that impact the greatest construction cost of the project?

Facilities Management is a service that should follow economic concepts of “value added” and “cost-effectiveness.” Facilities sites and campuses can be divided into geographic facilities maintenance zones to improve response time, coordination of trades, customer service, and the ownership or accountability of technicians. Facilities zone maintenance teams of multi-trade technicians can work together in a dynamic partnership to significantly reduce costs and do more with less. Six months of field research, case studies, and crew balance analysis of primary quantitative data was used to deductively evaluate the effectiveness of the zone maintenance model. To fill gaps in skilled labor, reduce maintenance costs, and increase available skilled labor capacity the maintenance zone implemented a strategy to better utilize and schedule the labor of unskilled entry level maintenance technicians. A teamwork approach was also used to share the collective multi-trade workload and allow the zone maintenance crew to accomplish more than individual technicians could do alone. A comprehensive literature review revealed an alarming lack of facilities management research and the vast disconnect between academic assumptions and practical real-world applications. It is evident from the case studies that more effective utilization of unskilled labor and harnessing the unique capacity of a multi-trade team are important competitive advantages of the facilities zone maintenance model. These intangible contributions and the value added to the organization can be measured and quantified through careful data collection and analysis. These studies are a reminder that significant maintenance cost savings can be achieved by eliminating labor waste and crew scheduling inefficiencies. Value can be added to the organization by reducing these and other intangible costs by focusing on continuous improvement, productivity, efficiency, and effective workflow.

The alternative project delivery methods (APDMs) today are being increasingly used by owner organizations in the architecture, engineering, and construction (AEC) industry. Yet the adoption of these methods can be extremely difficult to accomplish and requires significant change management efforts. To facilitate the APDM adoption, this research aimed to better understand how AEC owner organizations have changed from only using the design-bid-build method to also successfully implementing APDMs from an organizational change perspective. This research utilized a literature review, survey and interviews to fulfill the research objectives. The dissertation follows a three paper format. The first paper focuses on identifying organizational change management (OCM) practices that, when effectively executed, lead to increased success rates of adopting APDMs in owner AEC organizations. The results of the first paper indicated that the five OCM practices with the strongest correlations to successful APDM adoption were realistic timeframe, effective change agents, workload adjustments, senior-leadership commitment, and sufficient change-related training. The second paper focuses on investigating AEC employees’ reactions to the adoption of APDMs. The findings of the second paper revealed that employees in AEC organizations react favorably to adopting a change in their project delivery systems. The findings further revealed that increasing the use of OCM practices is related to decreased employee resistance to change. The third paper aimed to provide guidelines detailing on how to lead APDM adoption. The findings of the third paper indicated that there was a general sequence of four implementation phases, which were preparing and planning, pilot project testing, expanding to the intended scale, and sustaining and evaluating. The phases include specific OCM practices that increase the probability of successful APDM adoption. The dissertation results can help in guiding the senior managers of construction organizations and OCM consultants to effectively implement APDMs for the first time in the construction sector.

In recent years, many school districts, community colleges, and universities in California have implemented energy management-as-a-service (EMaaS). The purpose of this study was to analyzes how EMaaS has been realized in California schools, including how performance expectations and service guarantees have been met, how value is created and captured, and which trends are emerging in the pay-for-performance models. This study used a qualitative research design to identify patterns in the collected data and allow theories to be drawn from the emergent categories and themes. Ten in-depth interviews were conducted with a diverse pool of facility managers, energy practitioners, superintendents, and associate superintendents working with EMaaS. Four themes emerged (1) peak shaving overperformance, (2) low risk/reward, (3) performance exactly as expected, and (4) hope in future flexibility. This study reveals medium to high levels of performance satisfaction from the customers of cloud-enabled and battery-based EMaaS in California schools. Value has been captured primarily through peak shaving and intelligent bill management. Large campuses with higher peaks are especially good at delivering energy savings, and in some instances without pairing batteries and solar. Where demand response participation is permitted by the utility companies, the quality of demand response performance is mixed, with performance being exactly as expected to slightly less than expected. The EMaaS business model is positioned to help California schools implement and achieve many of their future sustainability goals in a cost-effective way.

The objective of this thesis is to explore the applicability and impact of specific tools within the public school facilities management sector. Tools assessed include a work order system, block scheduling, and a priority matrix. These tools assist with the management of staff assignments and workload, focused scheduling methods, and decision enhancement for task-level employees. The author found that application of these systems increase productivity within public sector schools. The use of these tools also increases customer satisfaction and reduces costs. The author also explores the challenges associated with these tools.

The delivery of construction projects, particularly with respect to design phase or preconstruction efforts, has changed significantly over the past twenty years. As alternative delivery methods such as Construction-Manager-at-Risk (CMAR) and Design-Build models have become more prominent, general contractors, owners, and designers have had the opportunity to take advantage of the collaborative planning opportunities that exist during the preconstruction portion of the project. While much has been written regarding the benefits of more collaborative approaches and the utilization of various tools and practices during preconstruction to mitigate risk and maximize positive outcomes, what is lesser known is how to teach a coursework that exposes students to various tools and practices that are being utilized today. The objective of this research was to create a testable methodology that can be used to analyze a developed approach that answers the question of how to teach preconstruction tools and practices. A coursework was developed and taught as a graduate level class and data was collected from the actual teaching of that class. In addition, feedback was solicited from the construction industry concerning recommended content applicable to such a class. Data was then analyzed to ascertain student retention of the material and topical content of the course. Through these findings and literature review process the methodology and baseline coursework was shown as an effective means to teach preconstruction tools and practices.