Operations Research, Systems Engineering and Industrial Engineering Commons^™

A Confidence Paradigm For Classification Systems, Nathan J. Leap

Theses and Dissertations

There is no universally accepted methodology to determine how much confidence one should have in a classifier output. This research proposes a framework to determine the level of confidence in an indication from a classifier system where the output is or can be transformed into a posterior probability estimate. This is a theoretical framework that attempts to unite the viewpoints of the classification system developer (or engineer) and the classification system user (or war-fighter). The paradigm is based on the assumptions that the system confidence acts like, or can be modeled as a value and that indication confidence can be …

Combat Identification Using Multiple Tuav Swarm, Younin Kang

Theses and Dissertations

In modern warfare, Tactical Unmanned Aerial Vehicles (TUAVs) are rapidly taking on a leading role in traditional and non-traditional ISR, to include Automatic Target Recognition (ATR). However, additional advancements in processors and sensors on TUAVs are still needed before they can be widely employed as a primary source for positive identification in the Combat Identification (CID) process. Cost is a driving factor for operating an ATR system using multiple TUAVs. The cost of high quality sensors appropriate for a single TUAV can be significantly higher than less sophisticated sensors suitable for deployment on a group, or swarm, of coordinated TUAVs. …

Research On Logistic Management In Deltai Medical Company, Yan Hu

World Maritime University Dissertations

No abstract provided.

The Research On Container Operations At Container Freight Station And Rfid Implementation, Kasarla Naga Chandra Mohan

World Maritime University Dissertations

No abstract provided.

Research On Information Integration Of Zhoushan Port And Its External Environment, Peiyao Lu

World Maritime University Dissertations

No abstract provided.

Approach To Model On The Fourth Generation Port Competitiveness: An Application For Pda, Yiwen Cao

World Maritime University Dissertations

No abstract provided.

Metamodeling Techniques To Aid In The Aggregation Process Of Large Hierarchical Simulation Models, June F.D. Rodriguez

Theses and Dissertations

This research investigates how aggregation is currently conducted for simulation of large systems. The purpose is to examine how to achieve suitable aggregation in the simulation of large systems. More specifically, investigating how to accurately aggregate hierarchical lower-level (higher resolution) models into the next higher-level in order to reduce the complexity of the overall simulation model. The focus is on the exploration of the different aggregation techniques for hierarchical lower-level (higher resolution) models into the next higher-level. We develop aggregation procedures between two simulation levels (e.g., aggregation of engagement level models into a mission level model) to address how much …

Randomly Generating Manufacturing Flow Line Models Using Mathematica, Paul Savory

Department of Industrial and Management Systems Engineering: Faculty Publications

To test heuristic algorithms and techniques, researchers need numerous datasets so as to measure effectiveness and improve approaches. This paper discusses using Mathematica, a mathematical programming language, for randomly generating the specifications for manufacturing flow line models. Important issues include determining an arrival rate to a flow line, the number of flow line stations, the number of parallel servers for each production station, and specifying the service time distributions and their associated parameters. The paper concludes with a discussion on generating more general types of simulation models.

Analyzing Individual Decision Making Versus Group Decision Making For Alternative Selection, Alper Gezeravci

Theses and Dissertations

Many "real world" decisions are made by groups. It is rare that the responsi- bility for a very important decision is given to a single decision maker with complete authority. Group decision making adds both advantages to the process as well as disadvantages. This research examines the question: "Are decisions made by groups really that much different from the decisions made by individuals in the group?" A specific case study involving the selection of the best primary training aircraft type for military pilot training is used to examine this question. Fifteen military pilots with various backgrounds and experience levels participate …

Developing A Repeatable And Reliable Methodology To Determine Return-On-Investment, Mark Cullen Nesselrode

Computational Modeling & Simulation Engineering Theses & Dissertations

The high costs of modern weapons systems, fuel, personnel, and increasing environmental awareness is forcing U.S. forces to rely on simulation for training. Further, the need to train in a robust and theater specific environment is critical to ensure operational readiness immediately upon reaching the combat theater. Finally, the rapidly changing nature of the conflicts, crises, or contingencies in which U.S. forces are involved requires a new approach to training.

The purpose of this research is to develop and demonstrate the feasibility of a methodology that can provide a reliable, consistent method for determining ROI in various forms, focusing on …

Multi-Objective Optimization Of Mixed-Variable, Stochastic Systems Using Single-Objective Formulations, Todd J. Paciencia

Theses and Dissertations

Many problems exist where one desires to optimize systems with multiple, often competing, objectives. Further, these problems may not have a closed form representation, and may also have stochastic responses. Recently, a method expanded mixed variable generalized pattern search/ranking and selection (MVPS-RS) and Mesh Adaptive Direct Search (MADS) developed for single-objective, stochastic problems to the multi-objective case by using aspiration and reservation levels. However, the success of this method in approximating the true Pareto solution set can be dependent upon several factors. These factors include the experimental design and ranges of the aspiration and reservation levels, and the approximation quality …

Improved Feature Extraction, Feature Selection, And Identification Techniques That Create A Fast Unsupervised Hyperspectral Target Detection Algorithm, Robert J. Johnson

Theses and Dissertations

This research extends the emerging field of hyperspectral image (HSI) target detectors that assume a global linear mixture model (LMM) of HSI and employ independent component analysis (ICA) to unmix HSI images. Via new techniques to fully automate feature extraction, feature selection, and target pixel identification, an autonomous global anomaly detector, AutoGAD, has been developed for potential employment in an operational environment for real-time processing of HSI targets. For dimensionality reduction (initial feature extraction prior to ICA), a geometric solution that effectively approximates the number of distinct spectral signals is presented. The solution is based on the theory of the …

Improving Mixed Variable Optimization Of Computational And Model Parameters Using Multiple Surrogate Functions, David Bethea

Theses and Dissertations

This research focuses on reducing computational time in parameter optimization by using multiple surrogates and subprocess CPU times without compromising the quality of the results. This is motivated by applications that have objective functions with expensive computational times at high fidelity solutions. Applying, matching, and tuning optimization techniques at an algorithm level can reduce the time spent on unprofitable computations for parameter optimization. The objective is to recover known parameters of a flow property reference image by comparing to a template image that comes from a computational fluid dynamics simulation, followed by a numerical image registration and comparison process. Mixed …

Determining The Surface-To-Air Missile Requirement For Western And Southern Part Of The Turkish Air Defense System, Omer Alkanat

Theses and Dissertations

An air defense system is vital for countries to protect their homelands. Today, air defense systems consist of integrated systems such as early warning radars, fighter aircraft, airborne early warning aircraft and surface-to-air missile (SAM) systems. The Turkish air defense system does not have long range SAM systems. Turkey plans to procure SAM systems to protect her borders. This research develops two location optimization models to optimally locate SAM sites to defend specified areas of the nation. One of the models finds the minimum number of SAM sites to cover the specified area; the other finds the maximum coverage for …

Simulation Modeling And Analysis Of F-16 Pilot Training Squadron, Adem Okal

Theses and Dissertations

The need for fighter pilots in the Turkish Air Force is expected to increase with the planned acquisition of Joint Strike Fighters, ongoing new F-16 purchases, and other upgrades to the Turkish Air Force fighter inventory. This increased demand will affect the current fighter training squadron curriculum and scheduling. This study focuses on issues related to 143^rd Oncel squadron F-16 Pilot Training with this projected increase in number of student pilots (SP). Completing the training periods on time is an important issue along with maintaining effective training performance. In our study the Total Time of the training period serves …

Robust Sensitivity Analysis Of Courses Of Action Using An Additive Value Model, Hunter A. Marks

Theses and Dissertations

The Department of Defense (DoD) requires the ability to quantifiably measure progress in arenas that are complex and difficult to measure, such as the stability of a region. Therefore, the DoD works diligently to predict the effect of operations and sponsors research to improve prediction and analysis. They desire a repeatable, systematic methodology to aid in the selection of courses of action (COA) that efficiently meet stated objectives and quantitatively measure the degree of accomplishment of these objectives. The author proposes a value-focused thinking (VFT) decision analysis (DA) approach to this problem. This methodology not only aids in selection of …

Assessing Capabilities Of The High Energy Liquid Laser Area Defense System Through Combat Simulations, Ryan S. Ponack

Theses and Dissertations

High Energy Laser (HEL) technology continues to improve and its place in the battlefield is ever evolving. By combining the high energy delivery of solid state laser technology with the efficient thermal management of liquid laser technology, HELLADS has two main advantages over any HEL predecessors. One, the configuration is small and light enough to be carried on more tactical aircraft such as fighters. Two, the thermal management greatly increases HEL fire power by increasing dwell time on target. To assess HELLADS operational capabilities the test community has been challenged with how to effectively examine the advantages and limitations through …

Simulation Of National Intelligence Process With Fusion, Joseph S. Lupa

Theses and Dissertations

This work is a follow on effort of two previous Master's theses. The first was Modeling and Simulation of the Military Intelligence Process by Captain Carl Pawling in 2004. The other was A Knowledge Matrix Modeling of the Intelligence Cycle by Captain Kevin Whaley in 2005. Both of these were done to facilitate the study and analysis of the intelligence process for the National Security Space Organization (NSSO). Here, modifications are made the Pawling model to include tasking multiple intelligence sources for data collection to fulfill Requests for Information (RFIs) and fusing the collected data into one new piece of …

Discrete Event Simulation Of A Suppression Of Enemy Air Defenses (Sead) Mission, Ahmet Aydin Candir

Theses and Dissertations

Contemporary military campaigns increasingly count on the use of air power. Suppression of enemy air defenses (SEAD) operations have been a crucial element of military air power for 50 years. Several developments and evolution in both air defense and attack systems suggest that SEAD missions will continue to have growing importance to air forces. Since SEAD operations have a significant impact on air campaigns, it is important to examine their efficiency and identify improvement opportunities. This study explores factors that influence SEAD operations through use of a discrete event simulation built in Arena and subsequent statistical analysis of the results.

Developing An Excel Decision Support System Using In-Transit Visibility To Decrease Dod Transportation Delays, Brian B. Stone

Theses and Dissertations

The United States Air Force's Air Mobility Command (AMC) is responsible for efficiently transporting military personnel and cargo throughout the world. Organizations throughout the transportation system search for ways to decrease cargo transportation time as part of their ongoing mission to provide timely airlift services to the DoD. As cargo is transported through the transportation system it is in one of two states; waiting at an air base for transportation or in some phase of the loading, transportation, or unloading process. The loading and unloading process has been streamlined throughout the transportation system to a point which leaves little room …

Forecasting Instability Indicators In The Horn Of Africa Region, Bryan R. Tannehill

Theses and Dissertations

The forecasting of state failure and the associated indicators has been a topic of great interest to a number of different agencies. USAID, CENTCOM, the World Bank, the Center for Army Analyses, and others have all examined the subject based on their own specific objectives. Whether the goal is denying terrorists space in which to operate, deciding how to pre-position materials in anticipation of unrest, stabilizing foreign markets and trade, or preventing or mitigating humanitarian disasters, man made or otherwise, this topic has been of interest for over a decade. The Horn of Africa has been one of the least …

Combat Identification Modeling Using Robust Optimization Techniques, Taeho Kim

Theses and Dissertations

The purposes of this research were: (1) the modeling of a CID situation and (2) the search for robust and controllable input variable settings. The inputs were defined as controllable and noise variables and the confusion matrices in ROC theory were adapted to act as controllable factors. In this research a simple virtual battlespace representation is employed. The experimental results of the CID system are summarized by a posterior confusion matrix and throughout the confusion matrix analysis we can obtain all various types of data such as accuracy, error cost, error rates, and so forth. To find the optimal parameters …

A Simulation Optimization Approach To The Design Of Unmanned Aircraft Systems, Emily C. Evans

Theses and Dissertations

Military strategy and operations have evolved significantly over the past decade. This evolution has led to a change in the military resources required to carry out missions successfully. In line with these requirements, demand has increased for unmanned aerial vehicles (UAV) with enhanced capability to perform surveillance and to strike targets of interest. This research effort aids in the design of a next generation UAV by employing a simulation optimization approach. The goal of this research is to maximize the number of targets destroyed in a conflict scenario by a newly designed UAV that is subject to size, weight, and …

Lexicographic Goal Programming Approach For Portfolio Optimization, Mehdi Jafarian, Azizolah Jafari

Mehdi Jafarian

The mean variance model of portfolio optimization that was introduced by Markowitz includes two conflicted objective functions. These two criteria, risk and return does not encompass all of the information about investment. Information like liquidity, annual dividends and performance in later years. Thus portfolio selection is a usual multi-objective decision making (MODM) problem. This paper will investigate the optimum portfolio for a private investor, taking into account 6 criteria. It is well known that GP, based on preemptive priorities and target values, has been successful in solving MODM problems. In this paper we classify the MODM model with consideration of …

Applying Six Sigma Methodology To The Admissions Process In Higher Education, Alok Verma

Engineering Technology Faculty Publications

Time and quality are two important metrics for improving a company's production and profit performance. Six Sigma is one of the most powerful continuous improvement tools that have been used to improve the quality of products and business processes. Six Sigma methodology provides the techniques and tools to improve the capability and reduce the number of defects in any process. It was originally developed by Motorola to systematically improve processes by eliminating defects. Although, originally developed for manufacturing processes, the tool has been effectively applied to improve business processes also. Evaluation of applications for admission in higher education is often …

Effects Of Leader Relationship Quality (Lmx), Supervisor Support, And Upward Influence In National Science Foundation Industry /University Cooperative Research Centers, Janet L. Bryant

Psychology Theses & Dissertations

The Industry/University Cooperative Research Center (I/UCRC) is a type of partnership between industries and universities supported by the National Science Foundation. These partnerships enable the transfer of leading-edge technology developed in universities to industrial firms. Leadership plays a powerful role in the success of these research partnerships by creating an environment that is conducive to innovation. Directors of I/UCRCs must be able to successfully lead upward, that is, develop and maintain strong relationships with the university administrators to whom they report, to obtain the necessary support to sustain the center and foster innovation. This study uses leader-member exchange (LMX) theory …