Industrial and Manufacturing Systems Engineering electronic theses and dissertations (MU)
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The items in this collection are the theses and dissertations written by students of the Department of Industrial and Manufacturing Systems Engineering. Some items may be viewed only by members of the University of Missouri System and/or University of Missouri-Columbia. Click on one of the browse buttons above for a complete listing of the works.
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Item Microelectronic assembly - capacity, supply and assurance(University of Missouri--Columbia, 2025) L. Kutney, James; Rajendran, SuchithraThis thesis uses a survey of literature method to lay the foundation for recommendations that minimize the probability of unintended supply disruptions, shortages, or sabotage of microelectronic assemblies. This paper describes manufacturing (microchip manufacturing, electronic design, wafer preparation, photolothography, material addition/removal/modification, chiplet assembly, packaging and testing) of a microelectronic assembly, including the semiconductor chip. This paper reviews the microassembly industry standards (via Appendix) according to general test method categories (functional, parametric, reliability, structural, burn-in and packaging) and by major standards organization (JEDEC, MIL-STD, IEC, IEEE, AEC and IPC) as well as specialty standards organizations involved in specialized methods and applications such as chiplets (UCIe) and defense procurement (DFARS). With the above background, the author introduces technical and non-technical market trends threatening assurance of microelectronics capacity and supply such as geopolitics, international and domestic tariff and subsidy policies, supplier concentration, dis-intermediation of integrated fabs, electronic design automation startups and advanced node (photolithography-limit-driven) technologies like 3D, FinFET and factory optimization tools. With a basis of understanding of the manufacturing processes, quality standards and market forces, the thesis introduces artificial intelligence, and machine learning (via Appendix) in the context of human-included, or human-in-the-loop decision processes focused on microelectronic assembly capacity, supply and assurance. The author then demonstrates the benefits of commercial large language models for the testing of queries on such critical items as: current standard coverage and gaps in technical standards for custom integrated circuits and 'comparison of performance parameters' for advanced testing equipment. The thesis then considers mixed human-in-the-loop and model-based exercises that have value for group supply chain problem solving using enhanced human-included artificial intelligence.Item Developing a gemba board deployment and assessment system in a multidisciplinary hospital setting(University of Missouri--Columbia, 2024) Tucker, John Alton; Noble, James S.The healthcare industry has struggled for decades to create and sustain a culture of high reliability, specifically within the continual process improvement realm. Implementing methods by which all staff in the healthcare system have an avenue to foster a culture of improvement is needed. One Lean tactic that aids in those efforts seen in other industries are the use of Gemba Boards. A literature review was conducted, and it was found that the use of Gemba Boards was primarily only in pockets of a healthcare organization, mostly nursing. A gap exists that this research aims to fill is establishing a framework that a hospital can undergo when no system of huddling for improvement exists that is standardized in every facet and department within the healthcare system. A framework was developed in two phases, to establish the initial deployment of Gemba Boards, followed by the progression to a sustained cyclical system and program for the Gemba Boards to be assessed for comprehension and return on investment for high reliability efforts. The framework established in this research was piloted in a study within a hospital system that had no formal huddling for improvement or Gemba Boards as a part of their culture. The integration of Boards into every department in the hospital was analyzed as a first attempt to examine how all facets of a healthcare system comprehend and execute the tool at the same time. The objective through statistical analysis is to advance the confidence in the industry that though uniquely different, with the use of the framework developed, deploying Gemba Boards and the philosophy behind them can produce results in any type of healthcare department and environment. Additionally, analysis will be conducted to gain insight into how the model functions when not just one area or pocket of the hospital is deploying this system of huddling, but the entire organization concurrently when pushed and supported by leadership.Item Power plant vibration monitoring using wavelet feature extraction and functional design of experiments(University of Missouri--Columbia, 2024) Oguejiofor, Benjamin Nwakile; Seo, KangwonIn a nuclear plant power generation, analysis of vibration signal constitutes an integral part of predictive maintenance for rotating equipment such as pumps, motors, turbine generators, etc. Vibration signals are continuously monitored via sensors and thresholds for alarms maybe set up to identify equipment malfunction. Improved methods for decomposition and analysis of power plant vibration signals using wavelet feature extraction and functional design of experiment (FDOE) have not been sufficiently investigated for applicability in analyzing these signals for better detection of equipment faults. Chapter 1 introduces the general concepts and methods to be applied in our research study. In Chapter 2, we present the application of discrete wavelet transform (DWT) to decompose a reactor coolant pump vibration signal into frequency sub-bands and the generation of a number of features from some statistics. A principal component analysis (PCA) is used to reduce the large set of variables into a few principal components which can be applied in future monitoring of normal vibration signals. From the insights gained using PCA, Chapter 3 studies the linear discriminant analysis (LDA) to simulated vibration signals, to distinguish between normal and abnormal signals. In Chapter 4, we apply the functional principal component analysis (FPCA) in characterizing the vibration signals generated under several different levels of an environmental factor, a flow rate, associated with a condensate pump. An FDOE is applied with the target vibration curve and used to obtain an optimal flow rate. The obtained flow rate was found comparable to the theoretical pump curve best efficiency point (BEP) and recommended for use for optimal pump performance and reliability. In Chapter 5, we perform an extensive review of literature on FDOE and its applications. A standard FDOE framework was shown and demonstrated the five basic steps to be applied when using JMP Pro 17. Chapter 6 provided overall conclusions and suggestions for future work.Item Predictive analytics within the collegiate wrestling recruitment process(University of Missouri--Columbia, 2024) Mocco, Peyton James; Noble, James S.In this study, we dive into the world of sports analytics, specifically focusing on wrestling. By harnessing data-driven insights, we aim to revolutionize student-athlete recruitment and development. The research focuses on Folkstyle wrestling at the high school and collegiate levels, where performance data is collected and analyzed. A new prediction model offers a fresh perspective on identifying promising wrestlers. Through rigorous statistical analysis, the model uncovered key factors that correlate with success on the mat. These insights empower coaches, recruiters, and student-athletes alike, providing a competitive edge in talent acquisition. However, the journey does not end here. We acknowledge the limitations of the study--namely, its applicability to other wrestling styles such as Freestyle and Greco-Roman. As we move forward, we encourage fellow researchers to build upon the foundation, expanding data collection and refining predictive models. In conclusion, this thesis bridges the gap between sports and data science, opening doors to transformative practices in wrestling. This study enables us to redefine how champions are discovered and nurtured.Item Multi-objective decision-making in solid waste management including social sustainability consideration(University of Missouri--Columbia, 2024) Gutierrez Lopez, Jenny Pilar; McGarvey, Ronald; Noble, JamesWaste management is a critical sector that needs to coordinate its activities with outcomes that impact society. Multi-criteria decision-making methods for waste management have been widely considered using environmental and economic criteria. With the development of new social regulations and concerns, sustainable waste management needs to additionally target socially acceptable practices. Despite the need to aid solid waste management decision makers in contemplating the three pillars of sustainability, limited inclusion of social impacts has been found in the multi-objective decision-making literature. Therefore, one can observe the importance of understanding the local context in which the waste management system is located, and the essentiality of community consultation to recognize potential challenges and improvements to solid waste management systems. Consequently, the involvement of stakeholders is crucial during the quantification process of social indicators. The purposes of this study are threefold: (1) Develop an interview and literature-based framework for the quantification of social metrics in waste management and their inclusion in single-objective optimization problems; (2) Provide a solution approach for the multi-objective problem in waste management that considers the three pillars of sustainability obtaining a set of pareto optimal solutions; (3) Offer analysis of the tradeoffs of three pillars of sustainability for policy development in waste management.