Engineering Commons^™

Rattle Detection – An Automotive Case Study, Orla Hartley

International Conference on Lean Six Sigma

This case study showcases the use of statistical tools to develop an objective Squeak and Rattle (S&R) measurement and detection test for End Of Line (EOL) sign off in an automotive manufacturing environment. Audio Induced S&R is an unwanted vibration within the vehicle caused by the sound system, impacting on customer perception of vehicle quality. Testing for S&R in an automotive environment has a key challenge; how to robustly detect a rattle at the EOL and thus prevent plant escapes to the customer. The objective test developed used microphones and analysers in order to replace an e subjective listening test. …

The Application Of Measures Of Lean Production For Services, Willem Salentijn, Jiju Antony, Chad Laux

International Conference on Lean Six Sigma

This paper gives insights on how to measure the degree of lean for services and explores existing instruments, proposing adaptions on an existing instrument, developed for production.

Sustaining Continuous Improvement In Public Sector Services Through Double Loop Learning, Chris Buckell Msc, Mairi Macintyre Assoc. Prof.

International Conference on Lean Six Sigma

Abstract

Purpose: Public Service Organisations (PSOs) are facing continuing funding challenges and increased pressure to maintain and improve service delivery with fewer resources. One response, with the promise of improving efficiency rather than cutting services, has been to implement Continuous Improvement (CI) but success has been sporadic and unpredictable. The well documented and pervasive CI methodologies in PSOs, including Lean and Six Sigma, have general agreement across practitioners and scholars alike, thus the reasons behind their potted success must lie elsewhere, in the culture or the environment perhaps? This work explores the wider contextual issues of CI implementation with the …

From Letters To Logistics - The Enabling Role Of A Lean Transformation Programme In A National Postal Service: The Case Of An Post, Ireland, Seamus O'Reilly, Leadiing Edge Group, An Post

International Conference on Lean Six Sigma

From Letters to Logistics - The enabling role of a lean transformation programme

in a national postal service: The case of An Post, Ireland

Seamus O’Reilly (Cork University Business School), David Murray (An Post) and Joe Aherne (Leading Edge Group)

Abstract

Purpose

This paper investigates the role of a lean transformation programme in supporting the transition of a national postal (mail) service from a traditional letter delivery service to a competitive parcel delivery service.

Methodology

Given the objective an intrinsic case study (Stake, 2005) approach was adopted, as this specific case was of interest. To support this approach the researchers …

Improve Outcomes In Lean Six Sigma With Servant Leadership, David W. Hoffa, Chad Laux, Manal Alduraibi

International Conference on Lean Six Sigma

1. Purpose

The purpose of this study was to explore lean leadership within Lean Six Sigma (LSS). The objective of this paper was to explore how LSS program success might be improved by focusing Black Belt efforts on mentoring Green Belts with a servant leadership model. The importance of Green Belt projects is typically overlooked in the literature. The effects of prioritizing the development of Green Belts and building a culture of continuous improvement over the traditional Black Belt project focus is explored.

2. Design/Methodology/Approach

The methodology of this paper is inspired by the authors’ field experiences in managing LSS …

Waste As A Product Of Organisational Culture, Dobrochna Sztajerska, Karolina Pawlusiak

International Conference on Lean Six Sigma

The organisational culture was subjected to studies for many years (Schein, 1983; Svyantek and DeShon, 1993; Sułkowski 2001, Chmielewska-Muciek 2009), so was the muda (waste) concept (Womack and Jones, 1996; Rother and Shook, 2003; Liker, 2003; Lisiecka and Burka, 2015). However, there is no research linking these two constructs, especially when it comes to looking for specific waste depending on the organisational culture.

Six Sigma And Lean Approach For Enhanced Process Value Chain, Maryam Zulfiqar

International Conference on Lean Six Sigma

Abstract

This research highlight the different aspects of implementing lean and six-sigma approach, their contrasting features and integration in manufacturing organizations. Qualitative research method has been used to conduct this research as the defined period of time for the research was limited. This method was pertinent for the deep analysis of literature and case studies of concerned approaches. It helped to conduct the research in a subjective manner. The use of secondary data saved time from preparing the questionnaires or surveys also the ethical approval from the University of the West of Scotland was not required. Descriptive feature of qualitative …

Lean Six Sigma As An Enabler For Healthcare Operational Excellence In Covid-19, Olivia Mcdermott Dr, Antony Jiju

International Conference on Lean Six Sigma

1. Purpose -This paper aims to present the results of a qualitative research interview study on the utilization and importance of Lean Six Sigma methods in the Healthcare sector in COVID-19 and in pandemics in general.
2. Design/methodology/approach -a qualitative interview approach was utilised by interviewing leading Lean Six Sigma academics and practitioners who are expert in and have experience in Lean Six Sigma.
3. Findings – Lean Six Sigma methods are proven and can be utilised in pandemic situations to improve efficiency and resilience in the healthcare system and readiness for pandemics.
4. Research limitations/implications - One limitation of this research was that …

Applying Lean Six Sigma And Systematic Layout Planning To Improve Patient Transportation Equipment Storage In An Acute Care Hospital, Sandra Furterer, Pratheeka Kancharla

International Conference on Lean Six Sigma

Purpose:

The purpose of this project was to optimize the patient transportation process at an acute care hospital to achieve reduced transportation times.

Methodology:

A detailed Lean Six Sigma study on the patient transport and equipment handling processes helped to determine possible ways to reduce the equipment handling time which eventually reduces the patient transportation time. The Systematic Layout Planning (SLP) approach usually applied in manufacturing environments was used to identify which patient transport equipment was needed to be stored in which locations throughout the hospital footprint. The assignment of equipment to locations was determined based on frequency of use, …

Proceedings Of The 8th International Junior Researcher And Engineer Workshop On Hydraulic Structures, International Association For Hydro-Environmental Engineering And Research

International Junior Researcher and Engineer Workshop on Hydraulic Structures

Full proceedings for the 8th International Junior Researcher and Engineer Workshop on Hydraulic Structures.

Design And Implementation Of A Microservices Web-Based Architecture For Code Deployment And Testing, Soin Abdoul Kassif Traore

Symposium of Student Scholars

Design and Implementation of a Microservices Web-based Architecture for CodeDeployment and Testing

Many tech stars like Netflix, Amazon, PayPal, eBay, and Twitter are evolving from monolithic to a microservice architecture due to the benefits for Agile and DevOps teams. Microservices architecture can be applied to multiple industries, like IoT, using containerization. Virtual containers give an ideal environment for developing and testing of IoT technologies. Since the IoT industry has an exponential growth, it is the responsibility of universities to teach IoT with hands-on labs to minimize the gap between what the students learn and what is on-demand in the job …

An Investigation On Non-Invasive Brain-Computer Interfaces: Emotiv Epoc+ Neuroheadset And Its Effectiveness, Md Jobair Hossain Faruk

Symposium of Student Scholars

Neurotechnology describes as one of the focal points of today’s research around the domain of Brain-Computer Interfaces (BCI). The primary attempts of BCI research are to decoding human speech from brain signals and controlling neuro-psychological patterns that would benefit people suffering from neurological disorders. In this study, we illustrate the progress of BCI research and present scores of unveiled contemporary approaches. First, we explore a decoding natural speech approach that is designed to decode human speech directly from the human brain onto a digital screen introduced by Facebook Reality Laband University of California San Francisco. Then, we study a recently …

Microplastics In Water Treatment Plants, Isabella Seeton

Symposium of Student Scholars

The growing of the consumer culture has contributed to the massive rising of microplastic in environmental samples. Several studies have shown that the rise in microfibers and microplastics has to do with common household items such as facewash, toothpaste, clothing, and cleaning supplies. In this research, we began by collecting samples from a North Georgia drinking water plant. Fluorescent orange polyethylene microspheres, 600-710-micron, were added to assess the extraction methodology. These microspheres were extracted using the National Oceanic and Atmospheric Administration (NOAA) procedure. Filtered samples were analyze on filter paper underneath a 3.5X-180X Zoom Stereo Microscope. The filter paper was …

Framework For Collecting Data From Iot Device, Md Saiful Islam

Symposium of Student Scholars

The Internet of Things (IoT) is the most significant and blooming technology in the 21st century. IoT has rapidly developed by covering hundreds of applications in the civil, health, military, and agriculture areas. IoT is based on the collection of sensor data through an embedded system, and this embedded system uploads the data on the internet. Devices and sensor technologies connected over a network can monitor and measure data in real-time. The main challenge is to collect data from IoT devices, transmit them to store in the Cloud, and later retrieve them at any time for visualization and data analysis. …

Sound, Material And Strength Correlation, Ryan Mcbride

Symposium of Student Scholars

With a growing amount of manufacturing utilizing 3D printing, there is a correlation between strength and material which can affect sound produced by sirens. An air raid siren that has been downloaded from Thingiverse.com spins with a 49:1 gear ratio to produce 2 tone sounds and with that large number of revolutions comes friction, and in order to create a 3D printed air raid siren, the siren must be made out of a material that can withstand high temperatures without melting and quick rotations without delaminating. There are many materials that can be printed to withstand those forces, but it …

Buckling Analysis Of 0pen-Top Bridge Trusses, Ronald Hernandez, Mohammad Jonaidi

Symposium of Student Scholars

Finite Element Analysis (FEA) is a computerized method for determining the behavior of engineering elements under various loading and environmental conditions. Models can be comprehensively generated and sectioned into finite elements and the software can determine important stages such as buckling and failure of the structure. Computer based FEA offers significant benefits by cutting down cost and time to perform analysis on complex structures. In this research, the powerful software Abaqus is used to make models and perform buckling analyses for Half-Through trusses as specified by American Association of State Highway and Transportation Officials (AASHTO) Standard Specifications. Some of the …

Review Of Finite Element Analysis (Fea) Of Concrete Reinforced Materials, George Williams, Mohammad Jonaidi

Symposium of Student Scholars

As a heterogeneous and generally anisotropic material with both brittle and ductile failure modes, concrete is a difficult material to simulate using finite element models. Coupled with discrete reinforcement interactions and different material properties depending on strain degradation, many different numerical models are available for accurately representing concrete with varying tradeoffs. This study provides a review of general Finite Element Analysis (FEA) techniques and methodologies, how concrete and reinforced concrete are unique, and examples of accurate modeling to assist in further understanding this subject. Finite element modeling of concrete and reinforced concrete structures offers considerable complexity due to concrete’s composite …

Data Analysis Methods For Health Monitoring Sensors, Shahriar Sobhan

Symposium of Student Scholars

Innovations in health monitoring systems are fundamental for the continuous improvement of remote healthcare. With the current presence of SARS-CoV-2, better known as COVID-19, in people’s daily lives, solutions for monitoring heart and especially respiration and pulmonary functions are more needed than ever. Besides, health monitoring systems are widely used for patients who need isolated care, unconscious patients who cannot get medical attention for themselves. As it is well-known, monitoring systems rely on sensor technologies. Currently, there are multiple research studies for remote monitoring using different types of sensors. In this effort, we survey the current approaches that utilize the …

Perfromance Improvement Of High Bypass Turbofan Engine Through Optimization Of High-Pressure Compressor Blade – A Case Study, Vlad Mandzyuk

Symposium of Student Scholars

This research determines the relation between the High-Pressure Compressor (HPC) blade characteristics, compressor pressure ratio, and lift-to-drag ratio of a high bypass turbofan engine. Alterations in the HPC blades airfoil, span, chord, taper ratio, twist, aspect ratio, sweep, and angle of incidence are performed and their effect on the engine’s performance is observed. The metrics used to compare engine performance include thrust, specific thrust, exit velocity, fuel/air ratio, power, and efficiency. Parametric cycle analysis and computational fluid dynamics are performed to compare and validate findings. The goal of this study is to optimize the design of HPC to maximize the …

Do I Have Your Attention ? Predicting Users' Engagement During Interviews With Biofeedback, Voice, And Supervised Machine Learning, Thaide Huichapa

Symposium of Student Scholars

Studies show that the quality of the information collected during an elicitation interview, and consequently the quality of the software product that needs to be developed, highly depends on the interviewee's engagement. Because of social expectations, interviewees tend to hide if they are bored or not engaged. To overcome this problem and support the analyst during the interviews, this research uses biometric data and voice features, together with supervised machine learning algorithms, to predict the interviewee's engagement. We built our solution on an experiment consisted of interviewing 31 participants. We collected the data using an Empatica wristband and a default …

Classroom Room Acoustics And Effect On Speech With And Without Face Coverings In Direct And Reverberant Sound Fields, Danny Hernandez-Borjas

Symposium of Student Scholars

Prior to the COVID-19 pandemic, life consisted of seeing people in dense public areas such as malls, parks, and schools. But the life these people once knew has changed with face coverings becoming more prevalent in society along with social distancing which caused these public places to limit their capacity. However, a certain faction of society-this being students, have been affected immensely due to this transition of life at school which includes mandatory face coverings in the classroom and social distancing. This research focuses on the effects on speech with and without face coverings in a classroom setting in certain …

Diversifying Nuclear Technology: A Technical Analysis On Small Modular Reactors And Its Impact On Nuclear Energy Policy, Carolina Lugo Mejia, Marcos Lugo

Helm's School of Government Conference - 2021-2024

The energy policy debate in the United States has revolved around the diversification of energy sources while promoting advantageous economic profits. One drive for this has been the discussion of anthropogenic, environmental endangerment concerns (Vlassopoulous 2011, 104). However, despite the environmental concerns, the U.S. has for some time only relied on one type of energy source—fossil fuels. Fossil fuels are categorized as natural gas, coal, petroleum, and other gases responsible (U.S. Energy Administration 2019). Natural gas is responsible for 38.4%, coal for 23.4%, petroleum for 0.4%, and other gases for 0.3% of the U.S.’s electrical generation (U.S. Energy Administration 2019). …

6th Aawe Workshop Program - Conference Proceedings, Nigel Kaye

American Association for Wind Engineering (AAWE) Workshop

The Glenn Department of Civil Engineering at Clemson University is hosting the 6th AAWE Workshop with a focus on student and early career presentations. The workshop will include several keynote addresses and panel discussions on non-academic wind engineering careers and future directions for wind engineering research.

Evolution Of A Digital Twin For Wing Assembly By Refill Friction Stir Spot Welding, Johnathon Hunt

Utah Space Grant Consortium

Refill Friction Stir Spot Welding (RFSSW) is an emerging solid state joining process for thin sheet aluminum. Many researchers are developing RFSSW process parameters and best practices for manufacturing, thus enabling the use of RFSSW in many industries. Within this development, this work focuses to predict the resultant residual stresses and distortion in a joined part after welding. These residual stresses are caused by the heat & mechanical inputs from the RFSSW process. This report provides the preliminary results of the two step solution to resultant temperature and stresses from a series of RFSSW in thin sheet aluminum.

Reliable Mode Tracking In Gradient-Based Optimization Frameworks With Flutter Constraints, Taylor Mcdonnell

Utah Space Grant Consortium

In this paper a new mode tracking method is presented which incorporates backtracking logic to maintain a high degree of confidence in mode tracking results. The effectiveness of this mode tracking method is demonstrated on linear and nonlinear aeroelastic systems of varying complexity in the context of aeroelastic analyses and optimizations with stability constraints. The high degree of confidence in mode correlations provided by the new mode tracking method allows for the creation and use of mode-specific C¹ continuous stability constraints in gradient-based optimization frameworks. Using our mode tracking method in the context of a gradient-based optimization framework with …

Sparse Monocular Scene Reconstruction Using Rolling Voxel Maps, Jacob Johnson

Utah Space Grant Consortium

We present a method for creating 3D obstacle maps in real-time using only a monocular camera and an inertial measurement unit (IMU). We track a large amount of sparse features in the image frame. Then, given scale-accurate pose estimates from a front-end visual-inertial odometry (VIO) algorithm, we estimate the inverse depth to each of the tracked features using a keyframe-based feature-only bundle adjustment. These features are then accumulated within a probabilistic robocentric 3D voxel map that rolls as the camera moves. This local rolling voxel map provides a simple scene representation within which obstacle avoidance planning can easily be done. …

Evaluation Of Liquid Doping Methods For Use In Laser Powder Bed Fusion, Taylor Davis

Utah Space Grant Consortium

Laser powder bed fusion (LPBF) is an additive manufacturing (AM) process that is well known for its geometric versatility and high-quality parts. While the properties of LPBF parts are commonly superior to those made using other AM techniques, LPBF is generally limited to a single material in any given build. While LPBF can accommodate the integration of multiple components into a single part geometrically, the material limitation leads to over-designing to ensure that every component can complete their various functions. Some studies have shown potential methods of 3D composition control throughout a part, but these methods are subject to high …

Wake Expansion Continuation: Multi-Modality Reduction In The Wind Farm Layout Optimization Problem, Jared J. Thomas

Utah Space Grant Consortium

In this paper we present a continuation optimization method for reducing multi-modality in the wind farm layout optimization problem that we call Wake Expansion Continuation (WEC). We achieve the reduction in multi-modality by starting with an increased wake diameter while maintaining normal velocity deficits at the center of the wakes, and then reducing the wake diameter for each of a series of optimization runs until the accurate wake diameter is used. We applied and demonstrated the effectiveness of WEC with two different wake models. We tested WEC on four optimization case studies with a gradient-based optimization method and a gradient-free …

Passive Atmospheric Safety Feature For Small Molten Salt Reactors In Accident Conditions, Brent Edgerton

Utah Space Grant Consortium

This investigation aims to discover the utility of atmospheric cooling of residual heat in Martian applications (1.5 MW_t). It also considers the possible terrestrial application (45 MW_t) of these concepts. The peculiarities of atmospheric cooling require novel geometric arrangements and material selection. The average convection coefficient is derived and applied to ANSYS Transient Thermal analysis for both terrestrial and Martian environments. This preliminary analysis found that atmospheric cooling is a viable method of Martian passive cooling and may serve as a possible method in terrestrial conditions. The key finding of this investigation is that the …

Automatic Data Collection System And Video Laryngoscope Database, Gabrielle Hoyer

Utah Space Grant Consortium

The aggregate intubation data collected by a network of video laryngoscopes can be processed to understand the quality of an individual’s or a group of individual’s practice(s). Currently, all data surrounding intubations is self-reported and not understood on an aggregate basis. We are developing a technology which can enable monitoring and benchmarking of intubations across a wide variety of practices.