Engineering Commons^™

Facility Redesign For Increased Throughput And Improved Product Flow Of Shark Rack Products Final Assembly At Paris Precision, Karina Hromyak, Julia Remnant

Industrial and Manufacturing Engineering

Paris Precision is a metal fabrication company that fabricates metal components for various companies, one of which is Shark Rack, which creates high end server racks. Shark Rack has plans for a dramatic increase in demand over the next two years. Paris Precision’s Final Assembly area is currently not conducive to produce such a large increase in demand. A redesign of the Final Assembly facility is needed to handle the increase in production and to improve product flow through the space. The project team’s objectives are to:

● Study current Final Assembly production process

● Analyze the production flow

● …

Ymca Operations Manual Development, Devlin Stewart

Industrial and Manufacturing Engineering

The San Luis Obispo YMCA sports department was losing money and overworking their employees due to lack of processes and organizational issues. To address this, a plan was made with the sports director to begin organizing the sports department. This would be done by creating an operations manual for them to organize and consolidate all of their relevant information.

The project was scoped to develop a plan for the YMCA to implement an operations manual. By delivering a work breakdown structure, a gantt chart, and a plan for continuous improvement, the YMCA could use these tools to develop their operations …

Zero Waste Campus Dining, Jenny Caudillo, Sarah Dahel, Youlen Ghazalian

Industrial and Manufacturing Engineering

Cal Poly Campus Dining has a goal of becoming a zero waste entity by providing their customers with alternative methods of disposing their trash. Their current operations produce waste, specifically their methods of packaging the food. Campus dining plans to be more sustainable by providing their customers with reusable containers. The objective of this implementation is to reduce waste produced from one-time use, disposable food containers. The success criteria for the desired system is based around the ability to track and measure the reusable containers to prevent further waste, while providing the user an accommodating environment to ensure they will …

Adapting Lean Six Sigma For A Non-Profit Organization, Jocelyn De Leon

Liberal Arts and Engineering Studies

Lean Six Sigma is a process improvement practice most commonly used in large scale manufacturing and health care industries to improve performance and efficiency. The goal of Lean Six Sigma is to improve efficiency, consistency, and focus on value added elements. Over the years, Lean Six Sigma has evolved from being primarily a manufacturing practice to serving more service based industries such as healthcare and government. However, Lean Six Sigma has yet to be implemented in the non-profit sector. This technical report outlines the importance of identifying the unique characteristics of the organization you wish to improve and then adapting …

Continuum Modeling Of The Densification Of W-Ni-Fe During Selective Laser Sintering, Connor M. West

Master's Theses

The purpose of this thesis is to effectively model the time history of the temperature distribution during the selective laser sintering process and use this information to investigate the resulting relative density. The temperature is a critical parameter of the process because it directly effects the overall quality of the part. First, an efficient, affordable, and reliable simulation was developed within the finite element software, Abaqus. Next, the results from the simulations were compared to the experimental results performed by Wang et al. (2016). The FEA model consisted of a 3 layer simulation. Multiple simulations at various laser recipes were …

An Ergonomics Analysis Of Redundancy Effect In Touch Screen Design For The Aged Population, Sarah Riesenberg

Master's Theses

Touch screen technology is rapidly increasing, and at the same time there is a shifting, aging population. As the percentage of the population over the age of 65 increases, adults of the age group are adopting smartphones and tablets more now than ever before. Although older adults are adopting touch screen devices, they face many challenges when interacting with said devices, such as not knowing how to navigate between pages, not knowing where to click for an action to occur, and the touch screen interface is often too sensitive or the buttons are not big enough. Furthermore, the challenges of …

Strategic Planning For Setting Up Base Stations In Emergency Medical Systems, Supriyo Ghosh, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

Emergency Medical Systems (EMSs) are an important component of public health-care services. Improving infrastructure for EMS and specifically the construction of base stations at the ”right” locations to reduce response times is the main focus of this paper. This is a computationally challenging task because of the: (a) exponentially large action space arising from having to consider combinations of potential base locations, which themselves can be significant; and (b) direct impact on the performance of the ambulance allocation problem, where we decide allocation of ambulances to bases. We present an incremental greedy approach to discover the placement of bases that …

Designing And Comparing Multiple Portfolios Of Parameter Configurations For Online Algorithm Selection, Aldy Gunawan, Hoong Chuin Lau, Mustafa Misir

Research Collection School Of Computing and Information Systems

Algorithm portfolios seek to determine an effective set of algorithms that can be used within an algorithm selection framework to solve problems. A limited number of these portfolio studies focus on generating different versions of a target algorithm using different parameter configurations. In this paper, we employ a Design of Experiments (DOE) approach to determine a promising range of values for each parameter of an algorithm. These ranges are further processed to determine a portfolio of parameter configurations, which would be used within two online Algorithm Selection approaches for solving different instances of a given combinatorial optimization problem effectively. We …

Self-Organizing Neural Network For Adaptive Operator Selection In Evolutionary Search, Teck Hou Teng, Stephanus Daniel Handoko, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Evolutionary Algorithm is a well-known meta-heuristics paradigm capable of providing high-quality solutions to computationally hard problems. As with the other meta-heuristics, its performance is often attributed to appropriate design choices such as the choice of crossover operators and some other parameters. In this chapter, we propose a continuous state Markov Decision Process model to select crossover operators based on the states during evolutionary search. We propose to find the operator selection policy efficiently using a self-organizing neural network, which is trained offline using randomly selected training samples. The trained neural network is then verified on test instances not used for …

Developing A Hierarchical Decision Model To Evaluate Nuclear Power Plant Alternative Siting Technologies, Marwan Mossa Lingga

Dissertations and Theses

A strong trend of returning to nuclear power is evident in different places in the world. Forty-five countries are planning to add nuclear power to their grids and more than 66 nuclear power plants are under construction.

Nuclear power plants that generate electricity and steam need to improve safety to become more acceptable to governments and the public. One novel practical solution to increase nuclear power plants' safety factor is to build them away from urban areas, such as offshore or underground. To date, Land-Based siting is the dominant option for siting all commercial operational nuclear power plants. However, the …

Air Quality Simulations Using Big Data Programming Models, Haripriya Ayyalasomayajula, Edgar Gabriel, Peggy Lindner, Daniel Price

Engineering Management and Systems Engineering Faculty Research & Creative Works

Forecasts of daily pollutant levels have become a standard part of weather predictions in television, on-line, and in newspapers. Research groups also need to analyze larger timeframes across more locations to correlate long term developments for different pollutants with multiple serious health effects such as asthma. This paper presents a comparison of the Hadoop MapReduce and Spark programing models for air quality simulations, guiding future code development for the research groups interested in these analyses. Two use cases have been used, namely (i) calculating the eight-hour rolling average of pollutants in a restricted region, (ii) identifying clusters of sensors showing …

The Context Of Tool Control In An Aircraft Assembly Environment Related To Productivity, Taylor Jay Sisson

KSU Journey Honors College Capstones and Theses

The aircraft industry focuses a large portion of its resources on tool control during the assembly of aircraft. Tool control is a strict process that demands time from the assembly process. This time is removed from the value-added time spent actually assembling the aircraft. A study at Lockheed Martin conducted in the Spring of 2016 is discussed that examines the time spent on tool control. Tool control is necessary in aircraft assembly to prevent tools from entering compartments of the aircraft. If such an event occurs, the tool may damage the aircraft. All aircraft assembly processes must be tool controlled, …

Improving The Security Of Wireless Sensor Networks, Mauricio Tellez Nava

Masters Theses, 2010-2019

With the rapid technological advancements of sensors, Wireless Sensor Networks (WSNs) have become the main technology for the Internet of Things (IoT). We investigated the security of WSNs in an environmental monitoring system with the goal to improve the overall security. We implemented a Secure Temperature Monitoring System (STMS), which served as our investigational environment. Our results revealed a security flaw found in the bootstrap loader (BSL) password used to protect firmware in the MSP430 MCU chips. We demonstrated how the BSL password could be brute forced in a matter of days. Furthermore, we illustrate how an attacker can reverse …

Working At Tds Telecom This Summer: Cad To Gis Transform And Creating Arcgis Tools By Using Python Scripts, Zhen Yuan

Sustainability and Social Justice

My summer internship at TDS telecom last for 3 months from June to August of 2015, where I learned many academic skills and techniques during this process. Except these skills I also learned a lot from this traveling to Wisconsin itself. TDS telecom is an American local telecommunication company which is headquartered in Madison, Wisconsin. And this internship was a paid full-time internship which can be separated into two parts: manually transferring CAD data and creating python scripts to transfer the CAD data.

Using Value-Focused Thinking For Engineered Resilient Systems, Colin A. Small

Industrial Engineering Undergraduate Honors Theses

The DoD needs their systems to be resilient in the face of an ever changing world. To increase resilience in future systems the DoD has created a program called Engineered Resilient Systems. Resilience can be broken down into two parts, mission and platform resilience. Mission resilience is the ability of a system to repel, resist, absorb, and recover from environments and threats that occur on planned missions. Platform resilience is the ability of a system platform to adapt to new missions and new threats.

The University of Arkansas department of Industrial Engineering is working for the ERS program researching resilience. …

Development Of A User Interface To Communicate With Virtual Delta Robot Using Modbus Tcp/Ip And C#, Armin Maraghehmoghaddam

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Business and Technology at Morehead State University in partial fulfillment of the requirements for the Degree of Master of Science by Armin Maraghehmoghaddam on May 1, 2016.

Capacity Fade Of Valve Regulated Lead Acid & Lithium Iron Phosphate Batteries Through High Rate, Pulsed Loads, Christopher Lee Williams

Industrial, Manufacturing, and Systems Theses - Archive

Electrochemical energy storage has become more power and energy dense in recent years. Many applications demanding energy storage operate in a pulsed manner. The most common chemistries considered for use in these applications include valve regulated lead acid (VRLA) and lithium-ion (LI). In the work presented here, one of each of these types of batteries has been assembled with ~60 V open circuit potentials (OCPs) and is in the process of experimentally characterizing their capacity fade and impedance growth when they are used to drive a high current pulsed load in a 5 seconds on / 5 seconds off pulsed …

Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For A Fleet Of Coal-Fired Power Plants, Antonio Alejandro Alanis Pena

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Major commercial electricity generation is done by burning fossil fuels out of which coal-fired power plants produce a substantial quantity of electricity worldwide. The United States has large reserves of coal, and it is cheaply available, making it a good choice for the generation of electricity on a large scale. However, one major problem associated with using coal for combustion is that it produces a group of pollutants known as nitrogen oxides (NOx). NOx are strong oxidizers and contribute to ozone formation and respiratory illness. The Environmental Protection Agency (EPA) regulates the quantity of NOx emitted to the atmosphere in …

Discriminating Parkinson's Disease Using Functional Connectivity And Brain Network Analysis, Daniel Gellerup

Industrial, Manufacturing, and Systems Theses - Archive

In this study, we explored the use of functional connectivity patterns in fMRI data to classify subjects on the basis of Parkinson's disease. We explore various brain networks and features. We partition our fMRI data in 5 filtered frequency ranges. We use a proximal support vector machine paired with a minimum-redundancy and maximum-relevance feature selection method on each frequency range. We use a majority voting ensemble classification method on the results of the proximal support vector machine classification results. We use a double 5-fold cross validation scheme for model validation. We achieve 84% accuracy 74% sensitivity, and 93% specificity. Our …

Operational Decision Making For Medical Clinics Through The Use Of Simulation And Multi-Attribute Utility Theory., Bo Sun

Electronic Theses and Dissertations

Currently, health care is a large industry that concerns everyone. Outpatient health care is an important part of the American health care system and is one of the strongest growth areas in the health care system. Many people pay attention to how to keep basic health care available to as many people as possible. A large health care system is usually evaluated by many performance measures. For example, the managers of a medical clinic are concerned about increasing staff utilization; both managers and patients are concerned about patient waiting time. In this dissertation, we study decision making for clinics in …

Statistical Learning Tools With Food Science, Jessica C. Hacker

Industrial Engineering Undergraduate Honors Theses

The food science discipline has many issues requiring research within academia in order to protect the food that gets distributed from industry. The team within the Center for Food Safety at the University of Arkansas’ Division of Agriculture has been studying the gastrointestinal microbial community in broiler chickens in order to control pathogenic bacteria and improve gut health within the chickens to promote a healthy adult microbiota. This has many positive effects on the quality of the chickens. The team performs a standard method of analysis on every experiment run within a software called QIIME to determine if a treatment …

Developing A Risk Analysis Model To Improve Study Abroad Awareness, Tyler Spain

Industrial Engineering Undergraduate Honors Theses

As international education opportunities increase in popularity among U.S. college students (McMurtrie, 2007), it is becoming more and more necessary for study abroad organizations to be aware of the risks students face as they travel abroad. While some international cities are riskier than others, it can be difficult to distinguish between cities which truly carry a high degree of risk for visiting students, and which cities are only perceived to be risky based on various personal misconceptions. The University of Arkansas Office of Study Abroad & International Exchange currently lacks a way to quantifiably analyze the risk of study abroad …

A System Dynamics Approach Applied To Wind Energy System Sustainability, Jenny Maria Tejeda Carlos

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Sustainability of energy systems is one of the most important challenges currently facing humanity. Access to energy is critical to ensure economic and social development of a nation (UNDP et al., 2000); however, extraction, production and consumption of energy resources are also associated with high volumes of greenhouse gas (GHG) emissions, environmental damage and, in some cases, adverse health effects in communities where energy facilities are located. Renewable energy sources have been considered as an alternative to traditional energy sources to meet energy demand in a sustainable manner (Del Rio and Burguillo, 2008). Wind energy is considered to be one …

Dynamic Constraint Optimal Selection Techniques For Linear Programming, Alireza Noroziroshan

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Linear programming has been studied for over 60 years. It has been considered as one of the most valuable optimization tool for many industrial problems. The simplex algorithm remains the predominant approach to solving linear programming problems. Here we use the simplex method in an active-set frame work to improve it substantially. In general an active-set method obtains solutions by adding one or more problem constraints at a time to solve smaller problems iteratively. In particular, some of these methods have proven to perform significantly faster than the simplex method. In this dissertation we proposed an e?cient constraint selection metric …

Developing A Logistics Risk Assessment Tool, Daniel C. Fritsche

Industrial Engineering Undergraduate Honors Theses

Economies around the world have thrived in the wake of the development and keen understanding of effective supply chain management practices. As a result, organizations have become more dependent on other organizations to move their products and services to completion due to complex sourcing and shipping arrangements that have precipitated from the formation of sophisticated supply chains. A supply chain is in general a flow of products or services. When this flow is disrupted or halted, disastrous consequences can ensue. In the worst cases, such as with a disaster relief organization like the American Red Cross, disruptions in supply chains …

Engineered Resilient Systems Model Applied To Network Design, Zephan W. Wade

Industrial Engineering Undergraduate Honors Theses

Engineered Resilient Systems (ERS) is a Department of Defense (DoD) program focusing on the effective and efficient design and development of resilient complex engineered systems throughout their lifecycle. There is growing literature with qualitative definitions of resilience and quantitative models for systems, but these focus typically on systems with one performance measure. In application, many systems have multiple functions and multiple performance measures. This research uses a quantitative resilience framework for ERS that includes system design options, reliability, external threats, vulnerabilities, responses, and consequences assessed on multiple system performance measures. This paper applies the ERS framework to designing resilient networks.

Markov-Based Ranking Methods, Baback Vaziri

Open Access Dissertations

Ranking methods are an essential tool to help make decisions. This dissertation document examines different aspects of the theory and application of pairwise comparison ranking methods, specifically those that use Markov chains. First, a new method is developed to solve a traditional recruiting problem, and is shown to improve the predictive power of its ranking. Next, modifications are made to an existing method that theoretically improves the reliability, while maintaining the rank integrity. Last, a framework is developed that defines a fair and comprehensive ranking method, and several popular methods are evaluated in their ability to adhere to the said …

Baseball Portfolio Optimization, Keegan Henderson

Industrial Engineering Undergraduate Honors Theses

Portfolio optimization techniques are methods used to determine the best set of stocks in which to invest. Mean-variance optimization, one method of portfolio optimization, attempts to find the set of portfolios that have the maximum expected return at each level of risk (Jorion, 1992). Another technique, Monte Carlo simulation, uses random number generation to create a probability distribution of potential returns (Kwak & Ingall, 2007). This can be used to determine the risk of potential investments not returning a certain desired amount (Thompson & McLeod, 2009). Though traditionally used in the world of finance, these tools can also be utilized …

Use Of Response Surfaces In The Design Of A Simple Step Stress Accelerated Test Plan, Alexander H. Wong

Graduate Theses and Dissertations

In designing accelerated testing plans, cost is a factor that is missing in much of the literature. This paper explicits considers cost by developing an optimization model with the objective to minimize costs for a simple step stress accelerated test plan. Two methodologies are employed. One is an optimization approach in which an attempt is made to quantify the behavior of a series-parallel hardware system over all stages of testing using a response surface, and then an optimization model is used to determine the settings for stresses and failure mode modifications for all stages of testing prior to the start …

A Tabu Search, Augment-Merge Heuristic To Solve The Stochastic Location Arc Routing Problem, Tiffany L. Yang

Graduate Theses and Dissertations

The location arc routing problem (LARP) is a network optimization problem combining strategic facility location decisions and tactical or operational vehicle routing decisions for customer demand located on arcs of a network. The LARP seeks to locate facilities, or depots, and create vehicle delivery routes to minimize costs. The total cost is comprised of three components: fixed facility locations costs, fixed route creation (or vehicle acquisition) costs, and variable arc traversal costs. The applications of the LARP are varied and often include public services such as mail delivery, garbage collection, and street sweeping. In all of these applications, the magnitude …