Operations Research, Systems Engineering and Industrial Engineering Commons^™

Sortie Generation Simulation Of A Fighter Squadron, Abdurrahman Sevimli

Theses and Dissertations

The Turkish Air Force utilizes several fighter squadrons to enhance its military capabilities. One of the most critical challenges for these squadrons is generating sorties to meet the currency and demand during both peacetime and wartime. This sortie generation process directly affects the success of both training and operations. In this study, this process is assessed using a discrete event simulation. Air Force decision makers require a simulation tool to conduct “what-if” analysis on how potential changes in the environment affect an F-16 fighter squadron’s sortie generation process. Creating a usable simulation provides decision makers with a flexible tool to …

Methods To Address Extreme Class Imbalance In Machine Learning Based Network Intrusion Detection Systems, Russell W. Walter

Theses and Dissertations

Despite the considerable academic interest in using machine learning methods to detect cyber attacks and malicious network traffic, there is little evidence that modern organizations employ such systems. Due to the targeted nature of attacks and cybercriminals’ constantly changing behavior, valid observations of attack traffic suitable for training a classifier are extremely rare. Rare positive cases combined with the fact that the overwhelming majority of network traffic is benign create an extreme class imbalance problem. Using publically available datasets, this research examines the class imbalance problem by using small samples of the attack observations to create multiple training sets that …

Additive Manufacturing Process Parameter Effects On The Mechanical Properties Of Fused Filament Fabrication Nylon, Eric S. Holm

Theses and Dissertations

The purpose of this research was to determine how varying Fused Filament Fabrication (FFF) process parameters affect the mechanical properties of PA6 nylon dog-bone specimens produced on the Mark One 3D Printer. A design of experiment (DOE) was conducted using the factors of layer height and raster angle orientation. The mechanical properties measured in the experiment were tensile modulus, yield stress, percent strain at yield, ultimate tensile strength and percent strain at break. An analysis of variance (ANOVA) was performed to identify which factors were statistically significant in influencing mechanical properties. Results of the ANOVA showed that layer height was …

Unmanned Aerial Vehicle (Uav) Operators’ Workload Reduction: The Effect Of 3d Audio On Operators’ Workload And Performance During Multi-Aircraft Control, Sungbin Kim

Theses and Dissertations

The importance and number of Unmanned Aerial Vehicle (UAV) operations are rapidly growing in both military and civilian applications. This growth has produced significant manpower issues, producing a desire that multiple aircraft are controlled by a single operator as opposed to the current model where one aircraft may require multiple operators. A potential issue is the need for an operator to monitor radio traffic for the call signs of multi-aircraft. An investigation of the use of 3D sound was undertaken to investigate whether an automatic parser, which preselected the spatial location of relevant versus irrelevant call signs, could aid UAV …

Application Of System Engineering Leading Indicators To Scrum Agile Projects, Eric M. Shirley

Theses and Dissertations

SCRUM Agile metrics and System Engineering Leading Indicators (SE LIs) are measures used to evaluate the effectiveness and performance of a project across its lifecycle. The application of metrics can provide information on both internal resources and external project stakeholder requirements and constraints, showing past changes, trends, and potential future impacts. Both SCRUM Agile and SE LIs are designed to give a systems engineer/project manager insight into development progress allowing for progress to be checked at regular intervals as well as early corrective actions to be taken if necessary. This research applied SE LIs to a SCRUM Agile project to …

A Time-Variant Value-Focused Methodology For Supporting Pre-Acquisition, Brian K. Scheller

Theses and Dissertations

Military operations are dynamic in nature, as time-dependent requirements or adversary actions can contribute to differing levels of mission performance among systems. Future military operations commonly use multi-criteria decision analysis techniques that rely on value-focused thinking (VFT) to analyze and ultimately rank alternatives during the Analysis of Alternatives phase of the acquisition process. Traditional VFT approaches are not typically employed with the intention of analyzing time-variant performance of alternatives. In this research, a holistic approach towards integrating fundamental practices such as VFT, systems architecture, and modeling and simulation is used to analyze time-dependent data outputs of an alternative’s performance within …

Analysis Of Inpatient Hospital Staff Mental Workload By Means Of Discrete-Event Simulation, Erich W. Maxheimer

Theses and Dissertations

Many process improvement tools have been applied to the healthcare industry to improve safety and efficiency. However, nearly all of these tools have neglected to explicitly quantify mental workload of healthcare providers despite the consensus that it is related to human performance. This research uses the Improved Performance Research Integration Tool (IMPRINT), a discrete-event simulation (DES), to quantify mental workload. Specifically, this research examines staff members in an inpatient unit at the Wright-Patterson Medical Center to detect workload differences between staff, identify trends which lead to high workload demands, evaluate the influence of patient load on mental workload, and test …

Improving System Design Through The Integration Of Human Systems And Systems Engineering Models, Michael E. Watson

Theses and Dissertations

The human is a critical aspect of many systems, but frequently there is a failure to properly account for human capabilities and involvement during system design. This inattention results in systems with higher lifecycle costs, decreased user compatibility, and the potential to produce disastrous consequences. This research presents an approach to integrating the human into system models by using two methods: static and dynamic modeling. The static method uses a user-centered design framework to create system- and human-centered models that deconstruct the system and user into their respective components. These models are integrated to create system models that include relevant …

Consistency Analysis For Judgment Quantification In Hierarchical Decision Model, Mustafa Sulaiman Abbas

Dissertations and Theses

The objective of this research is to establish consistency thresholds linked to alpha (α) levels for HDM’s (Hierarchical Decision Model) judgment quantification method. Measuring consistency in order to control it is a crucial and inseparable part of any AHP/HDM experiment. The researchers on the subject recommend establishing thresholds that are statistically based on hypothesis testing, and are linked to the number of decision variables and (α) level. Such thresholds provide the means with which to evaluate the soundness and validity of an AHP/HDM decision. The linkage of thresholds to (α) levels allows the decision makers to set an appropriate inconsistency …

A Recommendation System For Meta-Modeling: A Meta-Learning Based Approach, Can Cui, Mengqi Hu, Jeffery D. Weir, Teresa Wu

Faculty Publications

Various meta-modeling techniques have been developed to replace computationally expensive simulation models. The performance of these meta-modeling techniques on different models is varied which makes existing model selection/recommendation approaches (e.g., trial-and-error, ensemble) problematic. To address these research gaps, we propose a general meta-modeling recommendation system using meta-learning which can automate the meta-modeling recommendation process by intelligently adapting the learning bias to problem characterizations. The proposed intelligent recommendation system includes four modules: (1) problem module, (2) meta-feature module which includes a comprehensive set of meta-features to characterize the geometrical properties of problems, (3) meta-learner module which compares the performance of instance-based …

Health Monitoring Device, Prim Boonwisut, Askar Zhapbassov, Tahmeed Rafee

Engagement & Service-Learning Summit

No abstract provided.

Human-System Integration, Jiahui Cai, Xianpeng Wang, Xinyue Cao, Siyu Liu, Wanyu Wu, Xiao Shi, Yutong Xu

Engagement & Service-Learning Summit

No abstract provided.

A Smart System: Driver Safety For The Car Savvy And Not Through Mobile Application, Veronica Cruz, Jonathan La Plain

Engagement & Service-Learning Summit

No abstract provided.

Application Of Smart Factory Design In Nuclear Energy Industry With Focus On Safety, Olivia Crasta, Cem Yilmaz

Engagement & Service-Learning Summit

No abstract provided.

Automatic Food Expiration Notification System, Nikolas-Viktor P. Doukas, Ozan Celebi, Lindsey E. Colgrove, Michael D. Werner, Tre Commings, Christopher M. Zatek, Daniel E. Odihi

Engagement & Service-Learning Summit

No abstract provided.

"Smart" Airport App, Jacob A. Collins, Alyssa Williams, Vikrant Neb, Pranav Gupta

Engagement & Service-Learning Summit

We are going to make an app that can be used by people traveling through or from ORD airport (Chicago), which will provide live time update for security check line (in terms of time), change of gate for the flight and whether or not the flight is on time. The reason for developing this application is to simplify and improve the passenger’s overall airport experience in order to make it more enjoyable, informative, and time efficient while decreasing the current negative mentality towards traveling. Resources needed to create the prototype would include softwares that help in creating wireframes of the …

Development Research And Implications For Cte, Jeff M. Shannon

Morehead State Theses and Dissertations

A capstone submitted in partial fulfillment of the requirements for the degree of Doctor of Education in the College of Education at Morehead State University By Jeff M. Shannon on March 9, 2016.

A R-Som Analysis Of The Link Between Financial Market Conditions And A Systemic Risk Index Based On Ica-Factors Of Systemic Risk Measures, Patrick Kouontchou, Amaury Lendasse, Yoan Miche, Alejandro Modesto, Peter Sarlin, Bertrand Maillet

Engineering Management and Systems Engineering Faculty Research & Creative Works

Due to the Recent Financial Crisis, Several Systemic Risk Measures Have Been Proposed in the Literature for Quantifying Financial System Wide Distress. in This Note We Propose an Aggregated Index for Financial Systemic Risk Measurement based on EOF and Ica Analyses on the Several Systemic Risk Measures Released in the Recent Literature. We Use This Index to Further Identify the States of the Market as Suggested in Kouontchou Et Al. [18]. We Show, by Characterizing Markets Conditions with a Robust Kohonen Self-Organizing Maps Algorithm that This Measure is Directly Linked to Crises Markets States and There is a Strong Link …

Skycsr: Optimal Communication Methods For Coordinating Ground Support In A Private And General Aviation Setting, Jessica Burke

Industrial and Manufacturing Engineering

Delays due to miscommunication of between the pilot and ground service providers are increasing. The objective of this project is to develop a new method of communication between pilots, line service technicians and customer service agents. This will be achieved first through an investigation into current methods and state of the industry, followed by a survey conducted with a group of pilots and flight schools. This culminates in a web application that will take the deficiencies identified in the survey, to make sure ground service or fuel orders are explicitly clear and minimize the probability of a mis-fueling, overlooked fueling, …

Carbon Emission Awareness And Information Platform, Jose Ignacio Cordero, Paul Romero

Industrial and Manufacturing Engineering

Climate change due to global warming has become a worldwide concern.

Nowadays, people are starting to wake up and realize that changes need to be

made in their lifestyles in order to preserve this earth and provide a better planet

for future generations. Finding a concrete solution to global warming and climate

change has proven to be a very challenging task. Governments have tried

implementing solutions and as a result, corporations have been forced to absorb

or transfer the cost of unsuccessful environmental regulations. Meanwhile,

individuals remain frustrated, wishing they could find a way to help.

The motivation behind this …

Multi-Level Route-Optimization Computer Application, Ryan Sutardji, Frank Nguyen

Industrial and Manufacturing Engineering

This report provides a detailed analysis on how to optimize driving routes by creating a computer application. There are many different route-optimization issues that logistical companies consistently face, as well as many different solutions and algorithms. With technology on the rise, pick-up, delivery, and transportation services are become a huge part of our everyday lives. When optimizing routes, reducing transportation costs by minimizing travel distance is always ideal, but other factors must be considered such as arriving at a location before or after a certain time. Our objective is to optimize driving routes based on travel distance and priorities. We …

Multi-Axis Machining Project Development, Ryan Patrick Blodgett, Andre Peter Rivera

Industrial and Manufacturing Engineering

Multi-axis milling is a manufacturing material removal process in which computer numerically controlled (CNC) tools cut away excess material through movement in four or more axes. Compared to traditional three-axis machining, multi-axis machining greatly increases the capability and accuracy of the CNC machining processes by reducing the amount of operations required to completely machine a part. Currently, the Industrial and Manufacturing Engineering Department at Cal Poly lacks an advanced CNC class that incorporates fourth and fifth axis CNC machining in the curriculum. This report describes the process behind creating a project for such a class. The class will demonstrate the …

Enhancing A Flight Dispatcher Display For Safer Flight Operations, Jeongjoon Boo

Open Access Theses

This study assesses capability of flight dispatchers to adopt enhancements on their display that enables detection of flights in abnormal activities and investigation of the causes. Three approaches were used. First, the expected function for enhancements was designed by collecting information from different places about what technologies are available for consideration. Second, hierarchical task analysis was conducted based on data collected by interviewing a former flight dispatcher in order to assess operational capability to handle the enhancement. Third, based on the results of first two approaches, a display prototype that includes the enhancement was developed and evaluated for usability and …

Enhancing Students Learning And Assessment Through Positive Reinforcement, Philip Appiah-Kubi

Engineering Management and Systems Faculty Publications

Students’ understanding of class material, and knowledge retention are assessed through homework, exams, and a host of other methods. None of these forms of assessment is intrinsically paramount to the others; however, the benefits depend on how well they are used. A good assessment depends on the purpose and learning objectives, and one way of maximizing the benefits of assessment is to involve students in the assessment methodology. This paper evaluates the benefits of having students prepare some of the questions for their final exams. Generally, students put in more effort when they understand that they are in charge. Each …

A Comparison Of Instructional Strategies For Teaching Entry-Level Welding At The High School Level, Jared Paul Massic

Theses and Dissertations

The traditional method of teaching welding has remained unchanged for decades. In this model, an instructor gives demonstrations to a class of students and then helps them individually as they practice the techniques of welding. This traditional instructional method has been effective but is time consuming. Due to a significant increase in the demand for skilled welders within the United States, efforts have been made to develop more efficient methods of providing welding instruction. Various electronic welding guidance systems and virtual welding systems have recently been developed. In this study, the researcher addressed two questions 1) Does the use of …

Harmonic Analysis In Integrated Energy System Based On Compressed Sensing, Ting Yang, Haibo Pen, Dan Wang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

The advent of Integrated Energy Systems enabled various distributed energy to access the system through different power electronic devices. The development of this has made the harmonic environment more complex. It needs low complexity and high precision of harmonic detection and analysis methods to improve power quality. To solve the shortages of large data storage capacities and high complexity of compression in sampling under the Nyquist sampling framework, this research paper presents a harmonic analysis scheme based on compressed sensing theory. The proposed scheme enables the performance of the functions of compressive sampling, signal reconstruction and harmonic detection simultaneously. In …

Feature Knowledge Based Fault Detection Of Induction Motors Through The Analysis Of Stator Current Data, Ting Yang, Haibo Pen, Zhaoxia Wang, Che Sau Chang

Research Collection School Of Computing and Information Systems

The fault detection of electrical or mechanical anomalies in induction motors has been a challenging problem for researchers over decades to ensure the safety and economic operations of industrial processes. To address this issue, this paper studies the stator current data obtained from inverter-fed laboratory induction motors and investigates the unique signatures of the healthy and faulty motors with the aim of developing knowledge based fault detection method for performing online detection of motor fault problems, such as broken-rotor-bar and bearing faults. Stator current data collected from induction motors were analyzed by leveraging fast Fourier transform (FFT), and the FFT …

A Simulation Model For Decision Support In Business Continuity Planning, Marissa Anne Mosunich

Master's Theses

Enterprises with a global supply network are at risk of lost revenue as a result of disruptive disasters at supplier locations. Various strategies exist for addressing this risk, and a variety of types of research has been done regarding the identification, assessment and response to the risk of disruption in a supply chain network.

This thesis establishes a decision model to support Business Continuity Planning at the first-tier supplier level. The decision model incorporates discrete-event simulation of supply chain networks (through Simio software), Monte Carlo simulation, and risk index optimization. After modeling disruption vulnerability in a supply chain network, costs …

The Bakken Goes Boom: Oil And The Changing Geographies Of Western North Dakota, William Caraher, Kyle Conway

Digital Press Books

In 2008, the Bakken went boom. Thanks to advances in hydraulic fracturing, oil production in western North Dakota exploded. As the price of oil went up, so did the oil rigs. People came from all over the country (and the world) in search of work, and cities and towns struggled to keep up. This book is about the challenges they faced. It is about the human dimensions of the boom, as told by artists, poets, journalists, and scholars. It captures the boom at its peak, before the price of oil fell and the boom went bust.

This is the only …

System Safety Modeling Of Alternative Geofencing Configurations For Small Uas, James T. Luxhoj

International Journal of Aviation, Aeronautics, and Aerospace

As is well known, the integration of small Unmanned Aircraft Systems (sUAS) or “drones” into the National Airspace System (NAS) has captured significant industry, academic, regulatory and media attention. For sUAS that typically fly low and slow, the possibility of a mid-air collision with a nearby general aviation aircraft needs to be studied from a system safety perspective to identify possible hazards and to assess mitigations. The Aviation System Risk Model (ASRM) is a first-generation socio-technical model that uses a Bayesian Belief Network (BBN) methodology to integrate possible hazards to assess a non-linear safety risk metric. Using inductive logic, the …