Operations Research, Systems Engineering and Industrial Engineering Commons^™

Implementation Process For Automated Data Analysis In Mineral Extraction Companies, Richard A. Leach

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

The need to determine knowledge from increasing amounts of information and raw data is a current and ongoing goal [1]. As technology continues to advance in the ability to collect and save more and more data, companies today must assimilate and understand this information as a valuable resource [2]. Companies in marketing and sales have found the use of a data warehouse and automated data analysis to be valuable resources [2]. This automated analysis of data has also been implemented in disciplines including scientific and medical research [2]. However, there continue to be other lower tech industrial areas of activity …

College Football Rankings: Maximum Flow Model, Jaymin Patel

Industrial Engineering Undergraduate Honors Theses

College football is a very popular sport in the United States. There is much debate over the college football rankings every week. A maximum flow network is implemented into the CMS+ rankings to observe the effects it has on the college football rankings.

The Prediction Predicament, William "Ike" Eisenhauer

Engineering and Technology Management Faculty Publications and Presentations

The article focuses on the prediction of predicament in terms of forecasting at industrial engineering level. Topics discussed include business optimize resources via forecasting; audience who cannot comprehend the methodology used for forecasting in healthcare operations; and use of forecasting for performance measurement.

Underwater Rope Fatigue Testing Machine, Napoleon Nino, Andrew Pimentel

Mechanical Engineering

The design and fabrication of an underwater rope fatigue testing machine meant to simulate the effects of an oceanic environment and the effects on rope.

Fuel Consumption Models For Tractors With Partial Drawbar Loads, Bryan Jeffrey Smith

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Three models for predicting fuel consumption for agricultural tractors with partial drawbar loads were compared. Data were collected from eight John Deere tractors, JD 7230R (e23), 7250R (e23), 7270R (e23), 7290R (e23), 7290R (IVT), 8320R (16 speed), 8345RT (IVT), 8370R (IVT). The tractors were tested with 7 load levels per speed at four different travel speeds as close as possible to 4, 7.5, 10, and 13 km·h^-1. The IVT tractors were operated in Auto mode and the geared tractors were shifted up three gears and throttled back to the same travel speeds as the IVT tractors. The 7 …

Spare Parts On Demand Using Additive Manufacturing : A Simulation Model For Cost Evaluation., Stefan Jedeck

Electronic Theses and Dissertations

Little is known about the impact of additive manufacturing in the spare part supply chain. A few studies are available, but they focus on specific parts and their applications only. A general model, which can be adapted to different applications, is nonexistent. This dissertation proposes a decision making framework that enables an interested practitioner/manager to decide whether using additive manufacturing to make spare parts on demand is economical when compared to conventional warehousing strategy. The framework consists of two major components: a general discrete event simulation model and a process of designing a wide range of simulation scenarios. The goal …

Modeling And Analysis Of Pca Workflow, Ewing Tiong

Masters Theses

Nursing shortage has been reported as a major problem faced not only by the United States but also by many other countries. One of the many interventions that has been used to curb nursing shortage is the increase in employment of Unlicensed Assistive Personnels (UAPs) as an alternative care delivery model. There are many types of UAP and one of them are Patient Care Assistants (PCAs). This research proposes a methodology to model and analyze the work ow of a PCA in terms of completing assigned tasks in a timely manner. The specific objectives of this research are to model …

Design Of A Web Application To Improve The Efficiency Of Crnas., Venkatramanan Chanchapalli Madhavan

All Theses

Physical artifacts such as whiteboards have been successfully used in healthcare facilities to keep track of dynamic changes in information and to manage work schedules. Since these whiteboards are easy- to- use and do not require any technical expertise, they have been easy- to-adopt. Additionally, they act as memory aids for the users by capturing transient information. However, they have their own limitations, the primary ones being the lack of mobility and real-time updates, both of which are crucial in a high consequence environment such as a healthcare facility. These whiteboards are usually kept in a central location with the …

Nursing Interruption Dynamics: The Impact Of Work System Factors, Yushi Yang

All Dissertations

Interruptions occur frequently in healthcare work systems. Hands-free Communication Devices (HCDs) were implemented in healthcare work systems to support the interruption process. However, from a sociotechnical systems perspective, HCDs may introduce new complications and unintended consequences to the work system. Research gaps exist in investigating the complexity of HCD interruptions in the real-world context. This dissertation aims to understand HCD interruption dynamics in the nursing work systems, using qualitative research methods. The first study examined the major differences between face-to-face and HCD-mediated interruptions, based on 30 hours of field observations in the acute care setting. Three major differences included: (1) …

Robust Execution Strategies For Project Scheduling With Unreliable Resources And Stochastic Durations, Na Fu, Hoong Chuin Lau, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

The resource-constrained project scheduling problem with minimum and maximum time lags (RCPSP/max) is a general model for resource scheduling in many real-world problems (such as manufacturing and construction engineering). We consider RCPSP/max problems where the durations of activities are stochastic and resources can have unforeseen breakdowns. Given a level of allowable risk, (Formula presented.), our mechanisms aim to compute the minimum robust makespan execution strategy. Robust makespan for an execution strategy is any makespan value that has a risk less than (Formula presented.). The risk for a makespan value, (Formula presented.) given an execution strategy, is the probability that a …

Characterizing The Effects Of Capillary Flow During Liquid Composite Molding, Michael Ray Morgan

Theses and Dissertations

As the aerospace industry continues to incorporate composites into its aircraft, there will be a need for alternative solutions to the current autoclaving process. Liquid composite molding (LCM) has proven to be a promising alternative, producing parts at faster rates and reduced costs while retaining aerospace grade quality. The most important factor of LCM is controlling the resin flow throughout the fiber reinforcement during infusion, as incomplete filling of fibers is a major quality issue as it results in dry spots or voids. Void formation occurs at the resin flow front due to competition between viscous forces and capillary pressure. …

Ergonomics Analysis Of Touchscreen Utilization As A Function Of Preferred Hand And Gender, Jordan E. Odell

Master's Theses

The growth of touchscreen technology has changed the way users interface with a wide range of computing and communication products and systems. Examples range from personal tablets and laptops to industrial applications such as process control, point-of-sales, and ticketing kiosk systems. An important area of application is the automobile industry which is designing cars with touchscreen control panels to replace the previously designed mechanical knobs and buttons. However, interacting with touchscreens does not provide the same tactile feedback as physical mechanisms, therefore they require more precise movement and visual attention, which distracts the user from the primary task.

The purpose …

Cost-Based Decision Making Model For Regional In-House Versus Outsourcing Logistics, Henrik Darren Lee

Master's Theses

This thesis proposes a model for selecting between insourcing logistics for local distribution and outsourcing these functions to a third-party logistics (3PL) company. Supply chain optimization, as well as global supply chain management, are topics that are now well-covered; local distribution, despite its integral function in an organization, is much less researched. Models exist for network design and optimization, but the practical application of these network models may call for decisions and considerations that are not covered in these optimization models.

A breakeven analysis selection model between using in-house logistic system and 3PL is derived, considering various regional parameters. The …

Turnover In Public Accounting And Its Effects On The Industry, Ashley Gentry

University Honors Program

There is a large turnover of employees in the public accounting firms in the United States. This research paper looks at the demographics of the employees that are leaving public accounting and what factors are causing them to leave the industry. It also looks at what kind of an effect this turnover has on the accounting industry. Research was gathered by reading past studies that have been done on this topic, as well as recent articles that have been published by credible sources. The demographics of the employees that are leaving are senior or management level and mostly women. Some …

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 …

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 …

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 …