Operations Research, Systems Engineering and Industrial Engineering Commons^™

An Analytical Framework And Model Formulation For Measuring Risk In Engineering Enterprise Systems: A Capability Portfolio Perspective, Paul Raphael Garvey

Engineering Management & Systems Engineering Theses & Dissertations

This work formulates an analytical framework and computational model for assessing risk in engineering enterprise systems. It addresses the engineering management problem of how to represent, model, and measure risk in large-scale, complex systems engineered to function in enterprise-wide environments.

The research in this dissertation extends current practice in the management of risk for traditional systems and creates new constructs and protocols for the management of risk in engineering large-scale, complex, and highly networked enterprise systems. This work advances engineering management theory and analytic practice as applied to the measurement and management of risk for enterprise systems engineered within capability …

Developing A Philosophical Profile Of The Individual For Complex Problem-Solving Through Agent-Based Modeling, Ipek Bozkurt

Engineering Management & Systems Engineering Theses & Dissertations

Research that focuses on the emotional, mental, behavioral and cognitive capabilities of individuals has been abundant within disciplines such as psychology, sociology, and anthropology, among others. The main argument made in this dissertation, however, is that a different perspective is necessary in order to gain insight about individuals when facing the complex problems that are presented within engineering and management disciplines. This is done by developing the Philosophical Profile of the Individual (PPI) that uses epistemology, ontology and teleology as underlying dimensions of philosophical predispositions. The epistemology dimension considers whether an individual is an Empiricist or a Rationalist, the ontology …

Operational Knowledge Transfer In Municipal Utility Organizations, G. Christian Guvemator Iv

Engineering Management & Systems Engineering Theses & Dissertations

Municipal water and wastewater utility systems experience several challenges related to maintaining an experienced operations workforce. One of these issues is the loss of operational knowledge as the current experienced workforce reaches the age of retirement. The future success of system operability depends upon a process that transfers the knowledge of the experienced employee into the organization before he or she retires. Recent investigations highlight the importance of, and the methods for, knowledge transfer; however, current literature does not include significant information on the municipal utility industry. The objective of this investigation is to identify how operational knowledge is being …

Network Optimization Of Dynamically Complex Systems, Ramez Ahmed Shamseldin

Engineering Management & Systems Engineering Theses & Dissertations

The aim of this research is to optimize large scale network handling capabilities for large system inventories and to implement strategies for the purpose of reducing capital expenses. As computers become more and more networked, it is easier to share files among storage media. In addition, more bandwidth will be consumed by network flow because customers will be connected through networks which will transfer files and data, such as video files (MPEGn, AVI, WMV, etc.) to be watched at a customer's computer (host). Furthermore, these networks terminals will be used as mini warehouses to save files and data. Selective files …

Towards The Quantitative Analysis Of The Connectivity Value Of Networked Operations, Dean Deller

Engineering Management & Systems Engineering Theses & Dissertations

While the nature of and the approach to command and control is evolving in order to meet the challenges of Information Age warfare, the essential functions that must be accomplished remain constant. One of those essential functions is the arrangement of the assets within a combat force. Certainly, the many different ways to arrange a given set of assets will have different impacts on the combat effectiveness of the force. Some arrangements will enable self-synchronization, while other arrangements will impede it. How then, should an Information Age combat force be organized in order to optimize its effectiveness?

The concept of …

Adaptive Pareto Set Estimation For Stochastic Mixed Variable Design Problems, Christopher D. Arendt

Theses and Dissertations

Many design problems require the optimization of competing objective functions that may be too complicated to solve analytically. These problems are often modeled in a simulation environment where static input may result in dynamic (stochastic) responses to the various objective functions. System reliability, alloy composition, algorithm parameter selection, and structural design optimization are classes of problems that often exhibit such complex and stochastic properties. Since the physical testing and experimentation of new designs can be prohibitively expensive, engineers need adequate predictions concerning the viability of various designs in order to minimize wasteful testing. Presumably, an appropriate stochastic multi-objective optimizer can …

Exploitation Of Intra-Spectral Band Correlation For Rapid Feacture Selection And Target Identification In Hyperspectral Imagery, Michael K. Miller

Theses and Dissertations

This research extends the work produced by Capt. Robert Johnson for detecting target pixels within hyperspectral imagery (HSI). The methodology replaces Principle Components Analysis for dimensionality reduction with a clustering algorithm which seeks to associate spectral rather than spatial dimensions. By seeking similar spectral dimensions, the assumption of no a priori knowledge of the relationship between clustered members can be eliminated and clusters are formed by seeking high correlated adjacent spectral bands. Following dimensionality reduction Independent Components Analysis (ICA) is used to perform feature extraction. Kurtosis and Potential Target Fraction are added to Maximum Component Score and Potential Target Signal …

Host-Based Multivariate Statistical Computer Operating Process Anomaly Intrusion Detection System (Paids), Glen R. Shilland

Theses and Dissertations

No abstract provided.

Combat Identification Modeling Using Neural Network Techniques, Changwook Lim

Theses and Dissertations

The purposes of this research were: (1) validating Kim’s (2007) simulation method by applying analytic methods and (2) comparing the two different Robust Parameter Design methods with three measures of performance (label accuracy for enemy, friendly, and clutter). Considering the features of CID, input variables were defined as two controllable (threshold combination of detector and classifier) and three uncontrollable (map size, number of enemies and friendly). The first set of experiments considers Kim’s method using analytical methods. In order to create response variables, Kim’s method uses Monte Carlo simulation. The output results showed no difference between simulation and the analytic …

Investments In Energy Technological Change Under Uncertainty, Ekundayo Shittu

Doctoral Dissertations 1896 - February 2014

This dissertation addresses the crucial problem of how environmental policy uncertainty influences investments in energy technological change. The rising level of carbon emissions due to increasing global energy consumption calls for policy shift. In order to stem the negative consequences on the climate, policymakers are concerned with carving an optimal regulation that will encourage technology investments. However, decision makers are facing uncertainties surrounding future environmental policy. The first part considers the treatment of technological change in theoretical models.

This part has two purposes: (1) to show-through illustrative examples-that technological change can lead to quite different, and surprising, impacts on the …

Multiple Objective Optimization Of Performance Based Logistics, Delia Villanueva

Open Access Theses & Dissertations

This thesis presents a new Performance Based Logistics optimization model. Performance Based Logistics (PBL) is becoming increasingly important for manufacturers in mission critical environments that need to provide ultimate product availability at the lowest cost and with the highest level of customer satisfaction. The U.S. Department of Defense has mandated that Performance Based Logistics programs be adopted by its major weapon systems and equipment suppliers, is one of the newest support strategies to improve the weapon system readiness. This work presents a new multiple objective evolutionary approach that simultaneously optimizes objectives such as Reliability, Maintainability and Total Cost for Ownership. …

Multi-Objective Network Reliability Optimization Using Evolutionary Algorithms, Franciso Oswaldo Aguirre

Open Access Theses & Dissertations

This work presents a new multiple objective evolutionary algorithm to solve three well known network reliability allocation problems considering different conflicting objectives to be optimized simultaneously. The new algorithm is applied in the design of a telecommunication network that is formed for several stations or nodes interconnected by telecommunication links or paths. The problem presented in this work involves finding which links to activate in order to obtain connectivity in the nodes. The number of nodes that need to be connected depends of the case that is being evaluated. The three network reliability problems considered are: all-terminal, k-terminal, and two-terminal. …

Computational Applications In Stochastic Operations Research, William H. Kaczynski

Dissertations, Theses, and Masters Projects

Several computational applications in stochastic operations research are presented, where, for each application, a computational engine is used to achieve results that are otherwise overly tedious by hand calculations, or in some cases mathematically intractable. Algorithms and code are developed and implemented with specific emphasis placed on achieving exact results and substantiated via Monte Carlo simulation. The code for each application is provided in the software language utilized and algorithms are available for coding in another environment. The topics include univariate and bivariate nonparametric random variate generation using a piecewise-linear cumulative distribution, deriving exact statistical process control chart constants for …

Qualitative Mapping For Understanding The Collective Judgment Building Process : A Study Of The Federal Open Market Committee, Hyunjung Kim

Legacy Theses & Dissertations (2009 - 2024)

This study develops a mapping method for studying a collective judgment building process in a decision-making group. Environmental uncertainties and a lack of information require a decision maker to make judgments about various issues relevant to the decision task. In a group setting, the members together weave their structural model of the system with available information to build a collective judgment for the decision task.