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Fault Adaptive Workload Allocation For Complex Manufacturing Systems, Charlie B. DeStefano 2019 University of Arkansas, Fayetteville

Fault Adaptive Workload Allocation For Complex Manufacturing Systems, Charlie B. Destefano

Theses and Dissertations

This research proposes novel fault adaptive workload allocation (FAWA) strategies for the health management of complex manufacturing systems. The primary goal of these strategies is to minimize maintenance costs and maximize production by strategically controlling when and where failures occur through condition-based workload allocation.

For complex systems that are capable of performing tasks a variety of different ways, such as an industrial robot arm that can move between locations using different joint angle configurations and path trajectories, each option, i.e. mission plan, will result in different degradation rates and life-expectancies. Consequently, this can make it difficult to predict when ...


Simulating Alternative Tuberculosis Diagnosis Methods In Underdeveloped Countries, Luke Turner 2019 University of Arkansas, Fayetteville

Simulating Alternative Tuberculosis Diagnosis Methods In Underdeveloped Countries, Luke Turner

Industrial Engineering Undergraduate Honors Theses

Tuberculosis is the deadliest infectious disease in the world; it is especially rampant in underdeveloped countries because they do not have the infrastructure, technology, or funding to properly combat the infection. However, the development of portable point-of-care diagnosis machines can reverse this epidemic as they far surpass conventional laboratory identification. The question now is where to place these machines, which is a difficult decision with a lack of data. Therefore, a flexible simulation model is created to test the implementation of these machines with different countries and configurations. The simulation tests the baseline model and three proposed implementations of the ...


Crude Oil Price Prediction With Decision Tree Based Regression Approach, Engu Chen, Xin James He 2019 Fairfield University

Crude Oil Price Prediction With Decision Tree Based Regression Approach, Engu Chen, Xin James He

Journal of International Technology and Information Management

Crude oil is an essential commodity for industry and the prediction of its price is crucial for many business entities and government organizations. While there have been quite a few conventional statistical models to forecast oil prices, we find that there is not much research using decision tree models to predict crude oil prices. In this research, we develop decision tree models to forecast crude oil prices. In addition to historical crude oil price time series data, we also use some predictor variables that would potentially affect crude oil prices, including crude oil demand and supply, and monthly GDP and ...


The Use Of Generic Scripting In Certain Application Development Projects, Vance Allen Etnyre, Jian Denny Lin, Nanfei Sun 2019 University of Houston-Clear Lake

The Use Of Generic Scripting In Certain Application Development Projects, Vance Allen Etnyre, Jian Denny Lin, Nanfei Sun

Journal of International Technology and Information Management

This article discusses generic scripting, a useful scripting technology for developing applications. In its simplest use, generic scripting can be used as a documentation tool to replace flowcharting or pseudocode. in certain situations, generic scripting can lead directly to a working application without the need to write, compile and test a new program. Generic scripting is discussed as a tool which can be used in logical design, detailed design and implementation of a new application. An example is presented to show how generic scripting can be used by non-programmers to simplify the development of applications. This example is used to ...


College Choice Criteria Utilizing Conjoint Analysis Enabled On A Saas Platform, Alison Munsch 2019 Iona College

College Choice Criteria Utilizing Conjoint Analysis Enabled On A Saas Platform, Alison Munsch

Journal of International Technology and Information Management

College enrollments and low to moderate household incomes are stagnating while tuition costs are increasing. The New York State Legislature enacted the nation’s first tuition-free degree program, the Excelsior Scholarship, designed to make a college education more affordable to middle class families. This legislation can impact what institution of higher education students will choose upon high school graduation. In order to understand the choice criteria for selecting an institution of higher education, a research study was conducted among a representative sample of high school upper classmen and parents of this respondent segment. The data collection and analysis were accomplished ...


Modeling Of Complex Parts For Industrial Waterjet Cleaning, Braden James 2019 University of Arkansas, Fayetteville

Modeling Of Complex Parts For Industrial Waterjet Cleaning, Braden James

Theses and Dissertations

Industrial high-pressure waterjet cleaning is common to many industries. The modeling in this paper functions inside a collaborative robotic framework for high mix, low volume processes where human robot collaboration is beneficial. Automation of pressure washing is desirable for economic and ergonomic reasons. An automated cleaning system needs path simulation and analysis to give the operator insight into the predicted cleaning performance of the system. In this paper, ablation, the removal of a substrate coating by waterjet, is modeled for robotic cleaning operations. The model is designed to work with complex parts often found in spray cleaning operations, namely parts ...


Foster Care Support Foundation Volunteer And Capital Outreach Analysis, Abeer Bhatti, Alexandro Martinez, Sunny Patel, Desmond Vail 2019 Kennesaw State University

Foster Care Support Foundation Volunteer And Capital Outreach Analysis, Abeer Bhatti, Alexandro Martinez, Sunny Patel, Desmond Vail

Senior Design Project For Engineers

Care Support Foundation (FCSF) provides free goods to children in Georgia. Annually, 11,000 volunteers are needed to deal with the massive influx of donations and fundraising events. Through our analyses, we aim to make recommendations to the FCSF, which can help raise funds and implement mitigating strategies that would increase funds and improve the foundation.


An Aco-Inspired, Probabilistic, Greedy Approach To The Drone Traveling Salesman Problem, Jessica Houseknecht 2019 Liberty University

An Aco-Inspired, Probabilistic, Greedy Approach To The Drone Traveling Salesman Problem, Jessica Houseknecht

Senior Honors Theses

In recent years, major companies have done research on using drones for parcel delivery. Research has shown that this can result in significant savings, which has led to the formulation of various truck and drone routing and scheduling optimization problems. This paper explains and analyzes a new approach to the Drone Traveling Salesman Problem (DTSP) based on ant colony optimization (ACO).

The ACO-based approach has an acceptance policy that maximizes the usage of the drone. The results reveal that the pheromone causes the algorithm to converge quickly to the best solution. The algorithm performs comparably to the MIP model, CP ...


Applications Of Optimization Modeling In Multi-Disciplinary Engineering Research, Anton F. Astner, Ekramul Haque Ehite, Yang Li, Colin Sasthav 2019 University of Tennessee, Knoxville

Applications Of Optimization Modeling In Multi-Disciplinary Engineering Research, Anton F. Astner, Ekramul Haque Ehite, Yang Li, Colin Sasthav

Biosystems Engineering and Soil Science Publications and Other Works

Optimization modeling is the process of selection of the best solution to a design problem using predetermined constraints from a set of prospective solutions. Increased computing power has made optimization solvers readily available for business/research needs. For example, Microsoft Excel has a simple, but robust solver. Such solvers can model linear, nonlinear, and integer programming problems that are limited in size. This study shows the use of the optimization model solvers in various research contexts.


Fiber-Reinforced Polymer Bridge Girders For Extremely Aggressive Environments, Abdellah Emad Azeez 2019 Embry-Riddle Aeronautical University

Fiber-Reinforced Polymer Bridge Girders For Extremely Aggressive Environments, Abdellah Emad Azeez

Dissertations and Theses

In 2012, the federal government estimated that $17.5 billion was spent on inspection, rehabilitation, maintenance, and replacement of the nation’s bridges. While the average lifespan of steel and reinforced concrete bridges is 50 years, certain bridges subjected to extremely aggressive marine environments may not reach this desired target. This research paper investigates using fiber-reinforced polymer (FRP) materials as primary bridge girders in medium span bridges (30 ft. to 75 ft.). The goal of this research is to identify the most efficient and cost-effective alternative for these corrosion-resistant materials and potentially extend the lifespan of these bridges up to ...


A Statistical Approach For Commercial Space Vehicle Integration Into The National Airspace System, Christopher Hays, Daniel Chu, Pedro Llanos 2019 Embry-Riddle Aeronautical University

A Statistical Approach For Commercial Space Vehicle Integration Into The National Airspace System, Christopher Hays, Daniel Chu, Pedro Llanos

Space Traffic Management Conference

This paper explores commercial space vehicle (CSV) suborbital flight trajectories in the temporal and spatial domains for CSV integration into the National Airspace System. The research data was collected via the Suborbital Space Flight Simulator (SSFS) housed in the College of Aviation at Embry-Riddle Aeronautical University - Daytona Beach campus, and analyzed using an original MATLAB data analytics tool. This study primarily focuses on statistical trends observed in previously simulated flights supported by three Project PoSSUM (Polar Suborbital Science in the Upper Mesosphere) campaigns comprised of 34 flights and 19 control flights, and to identify relevant milestones in the CSV flight ...


Enhancing Suborbital Science Through Better Understanding Of Wind Effects, Pedro Llanos, Diane Howard 2019 Embry-Riddle Aeronautical University - Daytona Beach

Enhancing Suborbital Science Through Better Understanding Of Wind Effects, Pedro Llanos, Diane Howard

Space Traffic Management Conference

This paper highlights the importance of understanding some key factors, such as winds effects, trajectory and vehicle parameters variations in order to streamline the space vehicle operations and enhance science in the upper mesosphere at about 85 km. Understanding these effects is crucial to refine current space operations and establish more robust procedures. These procedures will involve training new space operators to conduct and coordinate space operations in class E above FL600 airspace within the Air Traffic Organization (ATO).

Space vehicles such as Space Ship Two can spend up to 6 minutes in class E airspace above FL600 after launch ...


Decision Science For Community Development And Social Change, Michael P. Johnson Jr. 2019 University of Massachusetts - Boston

Decision Science For Community Development And Social Change, Michael P. Johnson Jr.

Michael P. Johnson

Operations research, also known as management science or decision science, is a mathematics-based discipline that draws from engineering, information systems, management, public policy and planning. OR enables individuals and organizations to make better decisions regarding manufacturing and logistics, service provision and strategy design. My particular interest in OR focuses on the needs of mission-driven and resource-constrained organizations that serve urban communities. In my talk I will describe how OR can use qualitative and quantitative analysis through meaningful engagement of communities to enable creative identification, formulation and solution of complex problems for local impact and social justice. Specific applications I'm ...


Curricular Optimization: Solving For The Optimal Student Success Pathway, William G. Thompson-Arjona 2019 University of Kentucky

Curricular Optimization: Solving For The Optimal Student Success Pathway, William G. Thompson-Arjona

Theses and Dissertations--Electrical and Computer Engineering

Considering the significant investment of higher education made by students and their families, graduating in a timely manner is of the utmost importance. Delay attributed to drop out or the retaking of a course adds cost and negatively affects a student’s academic progression. Considering this, it becomes paramount for institutions to focus on student success in relation to term scheduling.

Often overlooked, complexity of a course schedule may be one of the most important factors in whether or not a student successfully completes his or her degree. More often than not students entering an institution as a first time ...


A Game-Theoretic Approach To Share The Costs Of Cooperating Healthcare Networks, Jay M. Lightfoot 2019 University of Northern Colorado

A Game-Theoretic Approach To Share The Costs Of Cooperating Healthcare Networks, Jay M. Lightfoot

Journal of International Technology and Information Management

The growing demand for healthcare services combined with the disarray in the health insurance market in the United States has created a situation where rival health networks are aggressively competing by building duplicate health facilities and providing redundant services in localized geographic regions. Unfortunately, this strategy can reduce the quality of patient care and decrease profits (Kaissi & Charland, 2013). A solution to this problem is for health networks to cooperate and share healthcare equipment, facilities, and personnel. Toward that end, this paper presents a game-theoretic method that can share these costs in a fair, efficient, and repeatable manner.


A Systematic Review Of Process Modelling Methods And Its Application For Personalised Adaptive Learning Systems, Kingsley Okoye 2019 University of East London

A Systematic Review Of Process Modelling Methods And Its Application For Personalised Adaptive Learning Systems, Kingsley Okoye

Journal of International Technology and Information Management

This systematic review work investigates current literature and methods that are related to the application of process mining and modelling in real-time particularly as it concerns personalisation of learning systems, or yet still, e-content development. The work compares available studies based on the domain area of study, the scope of the study, methods used, and the scientific contribution of the papers and results. Consequently, the findings of the identified papers were systematically evaluated in order to point out potential confounding variables or flaws that might have been overlooked or missing in the current literature. In turn, a critical structured analysis ...


Pharmaceutical Scheduling Using Simulated Annealing And Steepest Descent Method, Bryant Jamison Spencer 2019 West Virginia University

Pharmaceutical Scheduling Using Simulated Annealing And Steepest Descent Method, Bryant Jamison Spencer

Graduate Theses, Dissertations, and Problem Reports

In the pharmaceutical manufacturing world, a deadline could be the difference between losing a multimillion-dollar contract or extending it. This, among many other reasons, is why good scheduling methods are vital. This problem report addresses Flexible Flowshop (FF) scheduling using Simulated Annealing (SA) in conjunction with the Steepest Descent heuristic (SD).

FF is a generalized version of the flowshop problem, where each product goes through S number of stages, where each stage has M number of machines. As opposed to a normal flowshop problem, all ‘jobs’ do not have to flow in the same sequence from stage to stage. The ...


Self-Leadership To Servant Leadership: A Metatheoretical Antecedent To Positive Social, Allen Lloyd Carn 2019 Walden University

Self-Leadership To Servant Leadership: A Metatheoretical Antecedent To Positive Social, Allen Lloyd Carn

Walden Dissertations and Doctoral Studies

A majority of current leadership programs are failing to deliver a comprehensive approach to leadership development by not providing middle and frontline managers the skills to enhance their potential to develop others. In failing to generate a comprehensive system, animosity towards all types of leadership has been festering for over 40 years as first identified by Greenleaf in 1977. The purpose of the study was to establish a link between the theoretical paradigms of servant leadership and self-leadership using the lens of emotional intelligence to generate an integral leadership development framework. The conceptual framework used Goleman et al.'s version ...


Strategies To Mitigate Supply Chain Disruption Risks, Daniel G. Haloukas 2019 Walden University

Strategies To Mitigate Supply Chain Disruption Risks, Daniel G. Haloukas

Walden Dissertations and Doctoral Studies

Businesses with global supply chains typically have a minimum of 1 interruption to their supply chain annually, which can decrease profitability and affect overall company performance. The purpose of this multiple case study was to explore strategies personal care business supply chain managers used to mitigate supply chain disruption risk. The targeted population was 9 supply chain managers working in 5 different Fortune 500 consumer packaged goods personal care companies in the northeastern United States who have successfully used strategies to mitigate supply chain disruptions. Corporate risk management was used as the conceptual framework of the study to determine how ...


Effect Of Model Of Care And Comorbidities On Multiple-Drug-Resistant Tuberculosis Treatment In Nigeria, Oluremilekun Comfort Kusimo 2019 Walden University

Effect Of Model Of Care And Comorbidities On Multiple-Drug-Resistant Tuberculosis Treatment In Nigeria, Oluremilekun Comfort Kusimo

Walden Dissertations and Doctoral Studies

Multidrug-resistant tuberculosis (MDR-TB) is a public health problem in several countries such as Angola, India, China, Kenya, and Nigeria. Due to the increasing high burden of MDR-TB, most of these countries do not have adequate capacities to manage MDR-TB patients effectively. This study investigated the effect of model of care; human immunodeficiency virus comorbidity; and demographic factors such as age, gender, and marital status on the treatment outcomes of MDR-TB patients in Nigeria. The study was based on the analysis of secondary data of 402 MDR-TB patients accessed from the data systems of the National Tuberculosis, Buruli Ulcer, and Leprosy ...


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