University of Nebraska at Lincoln
Walden University
Engineering Conferences International
Universidad de La Salle, Bogotá
Old Dominion University
West Virginia University
The Development And Use Of The Probabilistic Financial Decision Model For A Company Expansion,
2023
Liberty University
The Development And Use Of The Probabilistic Financial Decision Model For A Company Expansion, Elizabeth Wiese
Senior Honors Theses
In the United States, companies are expanding constantly. However, in an industrial equipment dealership expanding into a new state, it is important to understand the industry, new market, and costs associated with expanding. With using financial statements of data-backed percentages for growth, research seeks to set up a financial model to see if expansion for an industrial equipment dealership into the state of North Carolina will be a financially wise decision. Wesley Worldwide, an industrial equipment dealership, is moving forward with the investment of expanding into North Carolina. However, it is vital to understand the financial predictions for profit return …
The Impact Of A Carbon Tax On Emissions,
2023
University of Arkansas, Fayetteville
The Impact Of A Carbon Tax On Emissions, Jessica Creech
Industrial Engineering Undergraduate Honors Theses
A carbon tax is an economic policy that aims to reduce various emissions to serve the protection of the environment. Versions of this policy have been implemented in multiple countries across the world to introduce a cost for contributing to environmental damage. Since climate change is prevalent in today’s world, finding an effective method to reduce emissions is essential. However, many countries hesitate to utilize a carbon tax for two reasons. First, they are unsure if the carbon tax is effective at reducing emissions. Second, there is a concern that the implementation of such a tax will be detrimental to …
Automated Visualization Pipeline For Near Real-Time Risk Management System,
2023
University of Arkansas, Fayetteville
Automated Visualization Pipeline For Near Real-Time Risk Management System, Paris Joslin
Industrial Engineering Undergraduate Honors Theses
In modern society, technological capabilities and the amount of data readily available to users continue to grow exponentially. Many have adopted these new capabilities but lack the infrastructure needed to efficiently utilize high-powered software and programs. Without a method to collect, store, and process large datasets in real-time, individuals and businesses can quickly become overwhelmed, inhibiting effective decision-making processes. There is potential to improve decision-making abilities by enhancing the computing infrastructure. To accomplish this task, we will explore the ideas surrounding High Performance Computing (HPC) and data visualization software. High Performance Computing is the ability to process data and perform …
Interaction Effects And Selecting Regression Models Of Taylor Swift Song Popularity,
2023
University of Arkansas, Fayetteville
Interaction Effects And Selecting Regression Models Of Taylor Swift Song Popularity, Halle Schneidewind
Industrial Engineering Undergraduate Honors Theses
Understanding music popularity and what drives it is important not only for artists but for other individuals who are financially tied to music sales including producers, writers, and record labels. Studies have been done to define how a song’s popularity can be measured, what attributes or features are drivers for popularity, and to what extent can a song’s popularity even be predicted. This paper takes two linear regression approaches to predicting the popularity of a Taylor Swift song on Spotify based on auditory features the Spotify API estimates and historic popularity of songs on Spotify. One model takes into consideration …
Detecting Pathobiomes Using Machine Learning,
2023
University of Arkansas, Fayetteville
Detecting Pathobiomes Using Machine Learning, Valerie Jackson, Valerie Jackson
Industrial Engineering Undergraduate Honors Theses
Machine learning is a field with high growth potential due to the overall continuous progressions, developments, advancements, and improvements caused by the way it is used to help interpret and use large amounts of data [1]. One type of data that can be collected and analyzed by these machine learning models is data that is associated with DNA and information that the DNA gives. The research will be focusing specifically on using machine learning technology to detect pathobiomes indicative of salmonella pork. The pathobiome associated with salmonella is very similar to others, and this causes a problem for classification/detection with …
Digital Patient Engagement At A Perioperative Surgical Home Implemented Community Hospital,
2023
The Ohio State University, Columbus
Digital Patient Engagement At A Perioperative Surgical Home Implemented Community Hospital, Srinivasan Sridhar, Amy Mount Hunter, Bernadette Mccrory
Patient Experience Journal
Patients in rural areas typically require more perioperative ‘optimization’ for surgery. The rural healthcare systems often overwhelmed with coordinating perioperative services and deliver less than optimal surgical outcomes. This is due to limited supporting microsystems and ability to effectively engage and track patients over the 120-day perioperative period to limit post-surgical complications. The study assessed longitudinal patient engagement within a newly established Perioperative Surgical Home (PSH) at a rural community hospital serving 10+ surrounding counties to identify barriers and best practices for engagement. A digital patient engagement platform was implemented and used to assess longitudinal patient outcomes and engagement from …
Human Factors Engineering,
2023
Kennesaw State University
Human Factors Engineering, Robert S. Keyser
KSU Distinguished Course Repository
Human Factors Engineering is a comprehensive survey of human factors theory, research, and applications which are of particular relevance to Quality and Engineering Management. Emphasis will be placed on operator constraints in the design of work processes, workplaces, and instrumentation.
The Effect Of Mental Demand On Body Postures,
2023
Kennesaw State University
The Effect Of Mental Demand On Body Postures, Rodrick Adams, Valentina Niño
Symposium of Student Scholars
How we perceive our work has a profound relationship with how our body reacts to help facilitate the performance of our tasks. This is an observational study of the experiment in which participants performed tasks under four different conditions (baseline, interruptions, time, and alarm) and used NASA-TLX (NASA- Task Load Index) scores to assess their mental workload for each condition across six dimensions: mental demand, physical demand, temporal demand, effort, performance, and frustration level. We juxtaposed their NASA-TLX score with corresponding REBA (Rapid Entire Body Assessment) scores while standing and RULA (Rapid Upper Limb Assessment) scores while sitting to determine …
Reducing Restaurant Inventory Costs Through Sales Forecasting,
2023
Kennesaw State University
Reducing Restaurant Inventory Costs Through Sales Forecasting, Tyler Mason, Chris Schoen, Trevor Gilbert, Jonathan Enriquez
Senior Design Project For Engineers
Family Restaurant is a local restaurant in the greater Atlanta area that serves a variety of dishes that include an assortment of 19 different proteins. Currently, Family Restaurant places protein orders based on business intuition, and tends to over-stock and sometimes under-stock. To minimize inventory costs by reducing over-stocking and preventing under-stocking of proteins, we applied Facebook Prophet (FB Prophet), ARIMA, and XG Boost machine learning models to predict protein demand and then fed these results into a Fixed Time Period inventory model to make an overall order suggestion based on the specified time period. We trained our models on …
Hansen Technologies: Mvp Kaizen Event,
2023
Kennesaw State University
Hansen Technologies: Mvp Kaizen Event, Kyle Kraus, Ethan Mahon, Erick Hohler, Alexander Knowles
Senior Design Project For Engineers
Hansen Technologies, based in Commerce GA, is a global leader in the production of industrial refrigeration. One of their most profitable product assembly cells, the Multivalve Platform cell, is not currently producing enough to meet increasing demand. The MVP team focused on analyzing and designing a system using Kaizen to improve the throughput of the MVP cell. After conducting a root cause analysis through Gemba and video analysis, key areas were noted for improvement. Small inconsistencies, such as losing grip on the heavy MVP and searching for materials can take a lot of time away from achieving higher throughput levels. …
What-If Analysis In Various Operations In An Educational Chemical Laboratory,
2023
Department of Mechanical Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai,Tamilnadu,India
What-If Analysis In Various Operations In An Educational Chemical Laboratory, Agathiyan R, Udaya Prakash J
International Journal of Mechanical and Industrial Engineering
Students and lab workers at the technological educational institution in India, responded to a what if analysis questionnaire regarding the hazardous labelling of a number of chemicals present in various laboratories within the particular chemical laboratory. Only one in four students, on average, correctly matched all of the chemicals in the questionnaire with their corresponding hazard labels; the percentage of incorrect responses for chemicals that were part of the curriculum was comparable to the percentage of incorrect responses for chemicals that weren't taught. The analysis of the responses reveals that the conventional ways of teaching about danger labelling and safe …
Ergonomic Risk Assessment Of Maintenance Workers In Educational Institute,
2023
Department of Mechanical Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai,Tamilnadu,India
Ergonomic Risk Assessment Of Maintenance Workers In Educational Institute, S Lokeeshvar, Surrya Prakash D
International Journal of Mechanical and Industrial Engineering
Risks associated with ergonomics are pervasive groups that have crept into people's daily lives. Ergonomic risks have been linked to long-term health effects like musculoskeletal disorders, cumulative trauma disorders, and lower back pain. Due to the limitations of their jobs, workers are most impacted by these repetitive, continuous labor activities. The main objective of this project is to provide a solution to the ergonomic problems that construction workers in the educational maintenance industry encounter. Based on the conditions, only a few jobs were identified, and samples were obtained by watching and asking people about their jobs. For tasks like plantation, …
Optimization Of Acrylonitrile Butadiene Styrene Filament 3d Printing Process Parameters Based On Mechanical Test,
2023
Managing Director, Research and Development, Mr.R BUSINESS CORPORATION,Karur,Tamilnadu,India
Optimization Of Acrylonitrile Butadiene Styrene Filament 3d Printing Process Parameters Based On Mechanical Test, Raja S, Rajeswari N
International Journal of Mechanical and Industrial Engineering
This research paper's main goal is to improve the printing parameters that can be used in the 3D Printing Material Extrusion production method in order to get the best printing parameters for Acrylonitrile Butadiene Styrene (ABS) filament with the tensile test in the shortest possible time. The printing parameters that can be employed on 3D printing material extrusion machines include the extruder temperature, layer height, printing speed, and shell count. Also, tensile specimens in accordance with the ASTM (American Society for Testing and Materials) D638 standard were created utilizing ABS filament and the aforementioned adjusted printing settings. The most effective …
Structural Model Of The Technological Process Of Storage And Processing Of Oil Raw Materials,
2023
Tashkent State Technical University, Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: kabulov69@mail.ru.
Structural Model Of The Technological Process Of Storage And Processing Of Oil Raw Materials, N.A Kabulov
Chemical Technology, Control and Management
The technological method of storing and processing oilseed raw materials is structurally modelled in the article. Additionally, it is suggested that the generalized structure be presented as a three-part scheme, consisting of a raw material department, a processing shop, and transportation networks. On the basis of a thorough examination of the characteristics of the constituent parts of the technological complex, a practical model for the problem of the general characteristics of the technological complex is proposed.
Study Of The Graphene Energy Absorbing Layer And The Viscosity Of Sodium Alginate In Laser-Induced- Forward-Transfer (Lift) Bioprinting,
2023
The University of Texas Rio Grande Valley
Study Of The Graphene Energy Absorbing Layer And The Viscosity Of Sodium Alginate In Laser-Induced- Forward-Transfer (Lift) Bioprinting, Shuqi Zhou, Jianzhi Li, Ben Xu
Manufacturing & Industrial Engineering Faculty Publications and Presentations
Laser induced forward transfer (LIFT) bioprinting has been viewed as a new and actively developed three-dimensional bioprinting technology due to its high accuracy and good cell viability. The printing quality is highly dependent on the jet formation and its stability in the LIFT bioprinting process. The objective of this study is to investigate the effect of a graphene Energy Absorbing Layer (EAL) and alginate hydrogel (SA) (w.t. 1% and 2%) viscosity on jet generation in the LIFT bioprinting process. Since SA exhibits a shear-thinning behavior, it is a non-Newtonian fluid. The effect of EAL thickness and SA’s viscosity were addressed …
Queueing System With Potential For Recruiting Secondary Servers,
2023
Kettering University
Queueing System With Potential For Recruiting Secondary Servers, Srinivas Chakravarthy, Alexander N. Dudin, Sergey A. Dudin, Olga S. Dudina
Industrial & Manufacturing Engineering Publications
In this paper, we consider a single server queueing system in which the arrivals occur according to a Markovian arrival process (MAP). The served customers may be recruited (or opted from those customers’ point of view) to act as secondary servers to provide services to the waiting customers. Such customers who are recruited to be servers are referred to as secondary servers. The service times of the main as well as that of the secondary servers are assumed to be exponentially distributed possibly with different parameters. Assuming that at most there can only be one secondary server at any given …
Physics Infused Lstm Network For Track Association Based On Marine Vessel Automatic Identification System Data,
2023
West Virginia University
Physics Infused Lstm Network For Track Association Based On Marine Vessel Automatic Identification System Data, Tasmiah Haque
Graduate Theses, Dissertations, and Problem Reports
In marine surveillance, a crucial task is distinguishing between normal and abnormal vessel movements to timely identify potential threats. Subsequently, the vessels need to be monitored and tracked until necessary action can be taken. To achieve this, a track association problem is formulated where multiple vessels' unlabeled geographic and motion parameters are associated with their true labels. These parameters are typically obtained from the Automatic Identification System (AIS) database, which enables real-time tracking of marine vessels equipped with AIS. The parameters are time-stamped and collected over a long period, and therefore, modeling the inherent temporal patterns in the data is …
Higher-Order Effects In Biaxial Flexure Of Gfrp I-Section Beams,
2023
Old Dominion University
Higher-Order Effects In Biaxial Flexure Of Gfrp I-Section Beams, Zia Razzaq, Faridoon Z. Razzaq
Civil & Environmental Engineering Faculty Publications
A theoretical study of Glass Fiber Reinforced Polymer (GFRP) beams subjected to biaxial bending moments is presented with a focus on the influence of higher-order effects on maximum normal stresses. It is shown that the biaxial bending type of loading causes a dramatic increase in the maximum normal stress for a GFRP beam when induced torsional effects are included. The study demonstrates that the traditional first-order theory can grossly underestimate the maximum normal stress in a GFRP beam. Based on the numerical results presented using a higher-order theory which also accounts for induced warping normal stresses, the maximum normal stress …
Hendrickson Lift Kit,
2023
The University of Akron
Hendrickson Lift Kit, Matthew Rozmajzl
Williams Honors College, Honors Research Projects
This research project will be completed with Hendrickson Trailer as the sponsor. The goal of the project is to create a lift kit for a newer suspension system. The lift kit must provide enough lift force to lift an axle off the road and suspend it off the road while in transit. There are similar systems offered for different products at Hendrickson, but the configuration of this system is such that new brackets must be designed. The benefit of such a system is a reduction in wear on the lifted tires, and thus an increase in the life of the …
Integrated Machine Learning And Optimization Approaches,
2022
New Jersey Institute of Technology
Integrated Machine Learning And Optimization Approaches, Dogacan Yilmaz
Dissertations
This dissertation focuses on the integration of machine learning and optimization. Specifically, novel machine learning-based frameworks are proposed to help solve a broad range of well-known operations research problems to reduce the solution times. The first study presents a bidirectional Long Short-Term Memory framework to learn optimal solutions to sequential decision-making problems. Computational results show that the framework significantly reduces the solution time of benchmark capacitated lot-sizing problems without much loss in feasibility and optimality. Also, models trained using shorter planning horizons can successfully predict the optimal solution of the instances with longer planning horizons. For the hardest data set, …
