Operations Research, Systems Engineering and Industrial Engineering Commons^™

Sub-Orbital Spaceflight – An Addition To Our Multi-Modal Transportation System, Scott Haeffelin

Space Traffic Management Conference

The number of commercial spaceflights will be increasing by orders of magnitude over the next several decades. The current volume of space traffic can be managed on a case-by-case basis and there is little impact to the National Airspace System (NAS). This will change as more spaceports become operational, commercial sub-orbital flight companies begin serving their customers and as the cost of these flights begin to decrease. Current regulatory paths seek to allow the flexibility in the regulations for this industry to flourish while also maintaining a high standard of safety. There are, however, many nearsighted and old fashioned assumptions …

Space Data Integrator (Sdi) And Space Program Integrated Data And Estimated Risk (Spider): Proof-Of-Concept Software Solution For Integrating Launch And Reentry Vehicles Into The National Airspace System (Nas), Devin D. Dickens

Space Traffic Management Conference

The Space Data Integrator (SDI) Project is the initial step to satisfy the Federal Aviation Administration (FAA) strategic initiative to integrate commercial space launch and reentry vehicles into the National Airspace System. The project addresses the needs for greater situational awareness and monitoring, and increased response capability during non-nominal and catastrophic incidents during space operations.

The initial phase of this project leverages current FAA systems, and provide an initial demonstration of capability that will provide for state data from a commercial reentry vehicle to be ingested into a the FAA Traffic Flow Management System, and displayed on Traffic Situation Displays. …

Estimating Likelihood Of Having A Brca Gene Mutation Based On Family History Of Cancers And Recommending Optimized Cancer Preventive Actions, Mehrnaz Abdollahian

USF Tampa Graduate Theses and Dissertations

BRCA1 and BRCA2 are gene mutations that drastically increase chances of developing breast and ovarian cancers, up to 20-fold, for women. A genetic blood test is used to detect BRCA mutations. Though these mutations occur in one of every 400 in the general population (excluding Ashkenazi Jewish ethnicity), they are present in most cases of hereditary breast and ovarian cancer patients. Hence, it is common practice for the physicians to require genetic testing for those that fit the rules as recommended by the National Cancer Comprehensive Network. However, data from the Myriad Laboratory, the only provider of the test until …

Agv Controlled Fms, Fergus G. Maughan

The ITB Journal

One of the key factors that prevent the implementation of Flexible Manufacturing Systems (FMS) is the elaborate cost associated with the control software. In a FMS there is often a wide range of equipment such as personal computers Programmable Logical Controllers (PLCs), CNC Machines or robots, each of these having their own “intelligence” and library of data. Providing a means of communication between these individual controllers has traditionally been achieved using a Local Area Network (LAN). This proves more expensive when traditional manual operated machines have to be integrated into the system. The model described in this paper provides an …

Engineering Cyber Physical Systems: Machine Learning, Data Analytics And Smart Systems Architecting Preface, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Multi-faceted systems of the future will entail complex logic with many levels of reasoning in intricate arrangement. The organization of these systems involves a web of connections and demonstrates self-driven adaptability. They are designed for autonomy and may exhibit emergent behavior that can be visualized.

We are building systems that are created by a network of physical objects that contain embedded technology to communicate and interact with their internal states or the external environment. These changes in technology and deployment of system of systems having these new characteristics are demanding new ways of thinking and engineering. These are complex adaptive …

Optimizing Macd Parameters Via Genetic Algorithms For Soybean Futures, Phoebe S. Wiles, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

To create profits, traders must time the market correctly and enter and exit positions at ideal times. Finding the optimal time to enter the market can be quite daunting. The soybean market can be volatile and complex. Weather, sentiment, supply, and demand can all affect the price of soybeans. Traders typically use either fundamental analysis or technical analysis to predict the market for soybean futures' contracts. Every agricultural future's contract or security contract is different in its nature, volatility, and structure. Therefore, the purpose of this research is to optimize the moving average convergence divergence parameter values from traditionally used …

Noise Canceling In Volatility Forecasting Using An Adaptive Neural Network Filter, Soheil Almasi Monfared, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Volatility forecasting models are becoming more accurate, but noise looks to be an inseparable part of these forecasts. Nonetheless, using adaptive filters to cancel the noise should help improve the performance of the forecasting models. Adaptive filters have the advantage of changing based on the environment. This feature is vital when they are used along with a model for volatility forecasting and error cancellation in the financial markets. Nonlinear Autoregressive (NAR) neural networks have simple structures, but they are efficient tools in error cancelation systems when working with non-stationary and random walk noise processes. For this research, an adaptive threshold …

Analyzing Responses From Likert Surveys And Risk-Adjusted Ranking: A Data Analytics Perspective, Abhijit Gosavi

Engineering Management and Systems Engineering Faculty Research & Creative Works

We broadly consider the topic of ranking entities from surveys/opinions. Often, numerous ranks from different respondents are available for the same entity, e.g., a candidate from a pool, and yet an averaging of those ranks may not serve the purpose of identifying a consensus candidate. We first consider a risk-adjusted paradigm for ranking, where the rank is defined as the average (mean) rank plus a scalar times the risk in the rank; we use standard deviation as a risk metric. In case of a candidate being ranked either on the basis of opinions of a selection committee's members or on …

Selecting Attributes, Rules, And Membership Functions For Fuzzy Sos Architecture Evaluation, Louis Pape, Siddhartha Agarwal, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The development of the FILA-SoS meta-architecture approach to acknowledged systems of systems (SoS) analysis allows a relatively unbiased method for exploring a potential SoS architecture space. This paper delves more deeply into the process of building the lists of desirable fuzzy attributes of a SoS, developing rules for combining attribute values to an overall assessment, and discovering membership function shapes that work well. A wide range of options exist for all the individual elements of SoS assessment. Some recommendations for finding an appropriate combination for the adjustable parameters of fuzzy assessment models through random architecture chromosome testing and iteration are …

Predicting Public Bicycle Adoption Using The Technology Acceptance Model, Benjamin T. Hazen, Robert E. Overstreet, Yacan Wang

Faculty Publications

Bicycle sharing programs provide a sustainable mode of urban transportation. Although cities across the globe have developed these systems for their citizens and visitors, usage rates are not as high as anticipated. This research uses the technology acceptance model as the basis to understand one’s intention to adopt bicycle sharing programs. Using survey data derived from 421 participants in Beijing, China, the proposed covariance-based structural equation model consisting of perceived quality, perceived convenience, and perceived value is found to predict 50.5% of the variance in adoption intention. The findings of this research contribute to theory and practice in the burgeoning …

Integrating Process Mining With Discrete-Event Simulation Modeling, Siyao Liu

Theses and Dissertations

Discrete-event simulation (DES) is an invaluable tool which organizations can use to help better understand, diagnose, and optimize their operational processes. Studies have shown that for the typical DES exercise, the greatest amount of time is spent on developing an accurate model of the process that is to be studied. Process mining, a similar field of study, focuses on using historical data stored in software databases to accurate recreate and analyze business processes. Utilizing process mining techniques to help rapidly develop DES models can drastically reduce the amount of time spent building simulation models, which ultimately will enable organizations to …

Deriving System Vulnerabilities Using Log Analytics, Matthew Somers Higbee

Theses and Dissertations

System Administrators use many of the same tactics that are implemented by hackers to validate the security of their systems, such as port scanning and vulnerability scanning. Port scanning is slow, and can be highly inaccurate. After a scan is complete, the results of the scan must be cross checked with a vulnerability database to discover if any vulnerabilities are present. While these techniques are useful, they have severe limitations. System Administrators have full access to all of their machines. They should not have to rely exclusively on port scanning them from the outside of their machines to check for …

Determination Of Rule Patterns In Complex Event Processing Using Machine Learning Techniques, Nijat Mehdiyev, Julian Krumeich, David Lee Enke, Dirk Werth, Peter Loos

Engineering Management and Systems Engineering Faculty Research & Creative Works

Complex Event Processing (CEP) is a novel and promising methodology that enables the real-time analysis of stream event data. The main purpose of CEP is detection of the complex event patterns from the atomic and semantically low-level events such as sensor, log, or RFID data. Determination of the rule patterns for matching these simple events based on the temporal, semantic, or spatial correlations is the central task of CEP systems. In the current design of the CEP systems, experts provide event rule patterns. Having reached maturity, the Big Data Systems and Internet of Things (IoT) technology require the implementation of …

Value Modeling Forspace Launch System Missions, Myles Scarano

Von Braun Symposium Student Posters

No abstract provided.

Exergy Analysis Of Rocket Systems, Andrew Gilbert

Von Braun Symposium Student Posters

No abstract provided.

How Can Systems Engineering Be Improved Using Gamification? Gamification In Preference Solicitation And Organizational Communication, Joseph H. Clerkin, Bryan Mesmer

Von Braun Symposium Student Posters

No abstract provided.

Control Vs. Prediction--A Systems Engineering Approach, Anyama Tettey, Jeffrey Dyas

Von Braun Symposium Student Posters

No abstract provided.

Modified Atmosphere Packaging: A Progressive Technology For Shelf-Life Extension Of Fruits And Vegetables, Mahmoud Soltani, Reza Alimardani, Hossein Mobli, Seyed Saeid Mohtasebi

Journal of Applied Packaging Research

Packaging and storage are the final phases in the food industry. Quality preservation, improving safety and reduction of postharvest losses waste are some objectives of the packaging engineering. One of techniques that widely used in packaging of fruits and vegetables are modified atmosphere packaging (MAP). In MAP for fresh fruits and vegetable the air of packaging headspace replaces with a predetermined atmospheric gases different in proportion from that of air. Oxygen, carbon dioxide and nitrogen are the main gases used in MAP for injection to the headspace of pack. The choice and ratio of gases are very dependent upon the …

The Application Of Gage R&R Analysis In S Six Sigma Case Of Improving And Optimizing An Automotive Die Casting Product’S Measurement System, Qizheng Ren

Masters Theses & Specialist Projects

With the rapid development of automation technology in automotive manufacturing processes, massive and efficient production is a current trend. Therefore, measurement systems with accurate and automated measuring instruments are sought by automotive companies and suppliers. However, the problematic measuring instruments with unreliable accuracy and stability lead to erroneous measurements and wrong quality decisions that cause manufacturers huge profit losses. An effective method called “measurement system analysis” can be applied to define and eliminate erroneous measurements to ensure adequate reliability. An automotive transmission die casting parts supplier called company T was suffering a serious profit loss due to the erroneous measurements …

If You Commit, That Old Gown Looks Just Fine, William "Ike" Eisenhauer

Engineering and Technology Management Faculty Publications and Presentations

In this article, the author discusses issues pertaining to improvement of health systems, comparing the systems with Victorian ball gown. He states that significant elements of the improvement processes of the systems like removal of clutter, and workflow and paperwork, and mentions roles of industrial and systems engineering beyond business process improvement. He highlights the need of commitment for improving the systems by business enterprises.

An Approach For The Development Of Complex Systems Archetypes, Walter Lee Akers

Engineering Management & Systems Engineering Theses & Dissertations

The purpose of this research is to explore the principles and concepts of systems theory in pursuit of a collection of complex systems archetypes that can be used for system exploration and diagnostics. The study begins with an examination of the archetypes and classification systems that already exist in the domain of systems theory. This review includes a critique of their purpose, structure, and general applicability. The research then develops and employs a new approach to grounded theory, using a visual coding model to explore the origins, relationships, and meanings of the principles of systems theory. The goal of the …

Examining The Relationship Between Leadership Decision Making Styles And Personality Type Within The Department Of Defense, Antoine Lamont Prince Sr.

Engineering Management & Systems Engineering Theses & Dissertations

Leadership is perhaps the single most important function within the Department of Defense. While the old cliché “everyone is a leader regardless of position” may hold moral meaning, personnel in leadership positions are key. Under the umbrella of leadership is decision making. What leadership is to an organization, decision making is to leadership. Yet, despite this knowledge, unsound decisions are readily conducted. There are various theories as to why this holds true, one of which is personality type. Research however, shows that there is a limited amount of relevant knowledge to determine if there is in fact a …

A Machine Learning Approach To Post-Market Surveillance Of Medical Devices, Jonathan Bates, Shu-Xia Li, Craig Parzynski, Ronald Coifman, Harlan Krumholz, Joseph Ross

Yale Day of Data

Post-market surveillance is a collection of processes and activities used by product manufacturers and regulators, such as the U.S. Food and Drug Administration (FDA) to monitor the safety and effectiveness of medical devices once they are available for use “on the market”. These activities are designed to generate information to identify poorly performing devices and other safety problems, accurately characterize real-world device performance and clinical outcomes, and facilitate the development of new devices, or new uses for existing devices. Typically, a device is monitored by comparing adverse events in the exposed population to a matched unexposed population. This research considers …

Integrated Systems Health Management As An Enabler For Condition Based Maintenance And Autonomic Logistics, Robert M. Vandawalker

Theses and Dissertations

Health monitoring systems have demonstrated the ability to detect potential failures in components and predict how long until a critical failure is likely to occur. Implementing these systems on fielded structures, aircraft, or other vehicles is often a struggle to prove cost savings or operational improvements beyond improved safety. A system architecture to identify how the health monitoring systems are integrated into fielded aircraft is developed to assess cost, operations, maintenance, and logistics trade-spaces. The efficiency of a health monitoring system is examined for impacts to the operation of a squadron of cargo aircraft revealing sensitivity to and tolerance for …

Grabbing The Air Force By The Tail: Applying Strategic Cost Analytics To Understand And Manage Indirect Cost Behavior, Bradley C. Boehmke

Theses and Dissertations

Recent and projected reductions in defense spending are forcing the military services to develop systematic approaches to identify cost reduction opportunities and better manage financial resources. In response, the Air Force along with her sister services are developing strategic approaches to reduce front-line mission resources, commonly referred to as the Tooth . However, an underemphasized contributing source of costs are mission support activities, commonly referred to as the Tail . With the tail historically representing a sizable portion of the annual Air Force budget, strategically managing cost behavior of these indirect activities has the opportunity to generate significant cost reductions. …

Reliable Power System Planning And Operations Through Robust Optimization, Wei Yuan

USF Tampa Graduate Theses and Dissertations

In this dissertation, we introduce and study robust optimization models and decomposition algorithms in order to deal with the uncertainties such as terrorist attacks, natural disasters, and uncertain demand that are becoming more and more signicant in power systems operation and planning. An optimal power grid hardening problem is presented as a defender-attacker-defender (DAD) sequential game and solved by an exact decomposition algorithm. Network topology control, which is an eective corrective measure in power systems, is then incorporated into the defender-attacker-defender model as a recourse operation for the power system operator after a terrorist attack. Computational results validate the cost-eectiveness …

Spatiotemporal Sensing And Informatics For Complex Systems Monitoring, Fault Identification And Root Cause Diagnostics, Gang Liu

USF Tampa Graduate Theses and Dissertations

In order to cope with system complexity and dynamic environments, modern industries are investing in a variety of sensor networks and data acquisition systems to increase information visibility. Multi-sensor systems bring the proliferation of high-dimensional functional Big Data that capture rich information on the evolving dynamics of natural and engineered processes. With spatially and temporally dense data readily available, there is an urgent need to develop advanced methodologies and associated tools that will enable and assist (i) the handling of the big data communicated by the contemporary complex systems, (ii) the extraction and identification of pertinent knowledge about the environmental …

Analysis Of A Clinically Failed, Mechanically Intact, Reconstructive Compression Plate, Bharadwaj Cheruvu, Sunil Karmacharya, Richard T. Laughlin, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

A reconstructive orthopedic bone plate was submitted for analysis. Traditional failure analysis methods were used to assess the mode of the plate failure. Metallographic investigation of the plate was carried out in this report. Since limited data was available in the literature and clinical data related to subject demography, date of removal as well as reasons for removal unknown, in depth analysis was not possible. However, the plate was received in in-tact condition with minor biological deposits and scratches, it is speculated that the failure of the plate may have been due to biological/clinical reasons, likely infection, rejecting the device …

Creation And Analysis Of Checklists To Improve Raquet Stringing Performance In Tennis Warehouse, Alston S. Nguyen

Industrial and Manufacturing Engineering

Tennis Warehouse has a need to increase the supply of strung racquets and man hours to complete these strung racquets over the course of a year. That is, the demand can be increased by up to 4 times its average load during certain hectic parts of the year (professional tournaments, holidays, and competitive seasons). Not meeting this demand can lead to upset customers, unnecessary waste and replacing of rushed items and shipping costs, and a discouraged customer service representative workforce. The objective of this project is to use a set of checklists to address this problem and attempt to increase …

Haptics-Based Cataract Surgery Simulator, Jia Luo

Link Foundation Modeling, Simulation and Training Fellowship Reports

Surgical training using computer-based simulators are being adopted by many medical specialties, mainly because they offer several advantages to traditional training methods involving animals or cadavers. This article focuses on the design and implementation of a haptics-based cataract surgery simulator.