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- <p>Portfolio management -- Data processing<br />Portfolio management -- Mathematical models<br />Mathematical optimization<br />Taguchi methods (Quality control)</p> (1)
- <p>Three-dimensional printing<br />Manufacturing processes -- Automation<br />Production control -- Automation<br />Aerospace industries -- Costs</p> (1)
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Articles 1 - 6 of 6
Full-Text Articles in Engineering
Multi-Modular Integral Pressurized Water Reactor Control And Operational Reconfiguration For A Flow Control Loop, Sergio Ricardo Pereira Perillo
Multi-Modular Integral Pressurized Water Reactor Control And Operational Reconfiguration For A Flow Control Loop, Sergio Ricardo Pereira Perillo
Doctoral Dissertations
This dissertation focused on the IRIS design since this will likely be one of the designs of choice for future deployment in the U.S and developing countries. With a net 335 MWe output IRIS novel design falls in the “medium” size category and it is a potential candidate for the so called modular reactors, which may be appropriate for base load electricity generation, especially in regions with smaller electricity grids, but especially well suited for more specialized non-electrical energy applications such as district heating and process steam for desalination. The first objective of this dissertation is to evaluate and quantify …
A New Lean Model: Improving Race Team Performance Through Team-Driver Communication Efficacy, Joseph Ruric Stainback Iv
A New Lean Model: Improving Race Team Performance Through Team-Driver Communication Efficacy, Joseph Ruric Stainback Iv
Doctoral Dissertations
In some organizational settings and in the field of competitive automobile racing, certain situations and rules place an emphasis on and sometimes escalate the need for effective team communications. This dissertation hypothesizes that effective and dense communications contributes directly to team performance. Supported by organizational behavioral and lean six sigma theory, communications is declared a form of waste within the context of Industrial Engineering subject to data collection, measurements, and real-time, value-added metrics. Measuring and reporting trends in communications provides a basis for a new and unique model called a Communications Productivity Model (CPM) with an associated Communications Density Report …
Kernel-Based Data Mining Approach With Variable Selection For Nonlinear High-Dimensional Data, Seung Hyun Baek
Kernel-Based Data Mining Approach With Variable Selection For Nonlinear High-Dimensional Data, Seung Hyun Baek
Doctoral Dissertations
In statistical data mining research, datasets often have nonlinearity and high-dimensionality. It has become difficult to analyze such datasets in a comprehensive manner using traditional statistical methodologies. Kernel-based data mining is one of the most effective statistical methodologies to investigate a variety of problems in areas including pattern recognition, machine learning, bioinformatics, chemometrics, and statistics. In particular, statistically-sophisticated procedures that emphasize the reliability of results and computational efficiency are required for the analysis of high-dimensional data. In this dissertation, first, a novel wrapper method called SVM-ICOMP-RFE based on hybridized support vector machine (SVM) and recursive feature elimination (RFE) with information-theoretic …
Sensor Data-Based Decision Making, Ahmet Soylemezoglu
Sensor Data-Based Decision Making, Ahmet Soylemezoglu
Doctoral Dissertations
"Increasing globalization and growing industrial system complexity has amplified the interest in the use of information provided by sensors as a means of improving overall manufacturing system performance and maintainability. However, utilization of sensors can only be effective if the real-time data can be integrated into the necessary business processes, such as production planning, scheduling and execution systems. This integration requires the development of intelligent decision making models that can effectively process the sensor data into information and suggest appropriate actions. To be able to improve the performance of a system, the health of the system also needs to be …
Emerging Technology Supply Chain Model For Additive Manufacturing, David M. Dietrich
Emerging Technology Supply Chain Model For Additive Manufacturing, David M. Dietrich
Doctoral Dissertations
"This research concerns developing an emerging manufacturing technology, additive manufacturing (AM), into a mature and flexible, cost-effective supply chain for aerospace production. The field of additive manufacturing is an approach to low volume manufacturing of plastic or metal parts using three dimensional Computer Aided Design data. As an emerging technology, AM's supply chain is not established compared to conventional aerospace manufacturing technologies, such as injection molding or composite manufacturing. Technical and business challenges limit the robustness of the additive manufacturing system for aerospace applications. The overall intent of this research is to: first, provide an introduction to two main polymer …
Application Of Quality Engineering To Investment Portfolio Selection And Optimization, Vivek Kulinchandra Jikar
Application Of Quality Engineering To Investment Portfolio Selection And Optimization, Vivek Kulinchandra Jikar
Doctoral Dissertations
"The Taguchi System of Quality Engineering (TSQE) is a widely accepted philosophy and set of tools and techniques to rapidly design and manufacture high quality, low cost products and services. It is heavily focused on creating stable system designs that allow a product or system to perform as desired by customers in the environment of their choice. This research demonstrates the power of the TSQE to manage an investment portfolio. In particular, it uses the concept of design stability to select investments and optimize portfolios. It proposes a new design stability-based investment screening metric and discusses its application. Further, this …