Six Sigma And Lean Approach For Enhanced Process Value Chain,
2021
Purdue University
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 …
Applying Lean Six Sigma And Systematic Layout Planning To Improve Patient Transportation Equipment Storage In An Acute Care Hospital,
2021
University of Dayton
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, …
Online Classrooms During Covid-19 Pandemic: A Survey Of Industrial Engineering Instructors In Indonesia,
2021
Universitas Gadjah Mada
Online Classrooms During Covid-19 Pandemic: A Survey Of Industrial Engineering Instructors In Indonesia, Ardiyanto Ardiyanto, Taufik Mulyadin, Adinda Mutiara Santi, I Gusti Bagus Budi Dharma
Higher Learning Research Communications
Objectives: The purpose of this descriptive study was to understand the instructional methods, quality, and challenges in online instruction as industrial engineering instructors in Indonesia transitioned from face-to-face to fully online instruction during the COVID-19 pandemic.
Methods: Instructors were invited to complete a survey that requested perceptions on methods, perceived quality, and challenges regarding course delivery and assessment in their online classrooms.
Results: Despite the fact that more than half of the participants (59%) had some training, the majority (63%) reported that they had no experience in conducting online classrooms. Furthermore, more than 50% of the participants described the quality …
Minimizing Leakage In Thin Walled Structures Printed Through Selective Laser Melting,
2021
California Polytechnic State University, San Luis Obispo
Minimizing Leakage In Thin Walled Structures Printed Through Selective Laser Melting, Andrew Spencer Yap
Master's Theses
In this project, the scan strategy of selective laser melting (SLM) for thin walled structures was investigated by changing laser parameters and tool path. Producing thin walled structures is difficult due to defects such as warpage and porosity. A layer on the SLM 125 consists of hatch volume, fill contours, and borders, however, for thin walls, hatch volume can become unavailable, resulting in a solely border/fill contour laser tool path.
Three central composite designs (CCD) were created to optimize the laser parameters of borders to minimize leakage rate and porosity. The two factors changed were border laser power and scanning …
Development Of A Marine Biodegradable Target Balloon,
2021
California Polytechnic State University, San Luis Obispo
Development Of A Marine Biodegradable Target Balloon, Blake Samuel Robinson, Arash Sam Akhavi, David Leonardo Albarran-Martinez
Materials Engineering
The US Navy utilizes PVC target balloons, known as Killer Tomatoes, that are inflated onboard a naval vessel then deployed into the ocean to calibrate a variety of weaponry. The Navy has requested the investigation of biodegradable polymers to replace the PVC in attempts to reduce ocean waste that is generated from the leftover PVC material. After communicating with American Pacific Plastic Fabricators (APPF), the current manufacturer of the Killer Tomatoes, we gained an understanding of the manufacturing process and the material requirements that would allow a new material to be integrated into their current process. Two proprietary, trial polymers …
Inventory Locating With Quuppa: The Design And Development Of A Real-Time Process Monitoring Web Application Solution,
2021
California Polytechnic State University, San Luis Obispo
Inventory Locating With Quuppa: The Design And Development Of A Real-Time Process Monitoring Web Application Solution, Dylan C. Moreland, Trevor J. Howell, John W. Takiff, Patrick S. Dillon, Theo E. Fritz, William K. Mcintyre
Industrial and Manufacturing Engineering
Viasat, Inc. requires precise inventory tracking at their production facility in San Diego, CA. Viasat has installed the Quuppa indoor real-time locating system (RTLS), which it uses to track the real-time position of high-value work-in-process items. In its current state, the system only displays in-the-moment location information, with no available functionality for storing historical data for review, analysis, or visualization. In addition, the data displayed is noisy and prone to significant random error. This paper provides an overview of RTLS methods and technologies, assesses alternative solutions to Viasat’s issue, demonstrates our RTLS integrated web app solution, analyzes its impact, and …
Understanding The Impact Of The Covid-19 Pandemic Within Educational Communities Using Longitudinal Analysis,
2021
California Polytechnic State University, San Luis Obispo
Understanding The Impact Of The Covid-19 Pandemic Within Educational Communities Using Longitudinal Analysis, Alexa Steidl
Master's Theses
At California State University, Los Angeles and California Polytechnic University, San Luis
Obispo, a longitudinal survey was created in response to the COVID-19 pandemic for students within their respective engineering departments. A combination of nonparametric and longitudinal analysis is performed to evaluate the impacts of the transition to a virtual educational environment and the stressors brought on by the global pandemic. Additional qualitative evaluation is performed to gain insight and make program recommendations to enhance the resilience of individuals in the academic systems. Results demonstrate a large shift in circumstances immediately at the start of the pandemic, with a variety …
Modeling And Solving The Outsourcing Risk Management Problem In Multi-Echelon Supply Chains,
2021
California Polytechnic State University, San Luis Obispo
Modeling And Solving The Outsourcing Risk Management Problem In Multi-Echelon Supply Chains, Arian A. Nahangi
Master's Theses
Worldwide globalization has made supply chains more vulnerable to risk factors, increasing the associated costs of outsourcing goods. Outsourcing is highly beneficial for any company that values building upon its core competencies, but the emergence of the COVID-19 pandemic and other crises have exposed significant vulnerabilities within supply chains. These disruptions forced a shift in the production of goods from outsourcing to domestic methods.
This paper considers a multi-echelon supply chain model with global and domestic raw material suppliers, manufacturing plants, warehouses, and markets. All levels within the supply chain network are evaluated from a holistic perspective, calculating a total …
Transfer Learning Approach To Powder Bed Fusion Additive Manufacturing Defect Detection,
2021
California Polytechnic State University, San Luis Obispo
Transfer Learning Approach To Powder Bed Fusion Additive Manufacturing Defect Detection, Michael Wu
Master's Theses
Laser powder bed fusion (LPBF) remains a predominately open-loop additive manufacturing process with minimal in-situ quality and process control. Some machines feature optical monitoring systems but lack automated analytical capabilities for real-time defect detection. Recent advances in machine learning (ML) and convolutional neural networks (CNN) present compelling solutions to analyze images in real-time and to develop in-situ monitoring.
Approximately 30,000 selective laser melting (SLM) build images from 31 previous builds are gathered and labeled as either “okay” or “defect”. Then, 14 open-sourced CNN were trained using transfer learning to classify the SLM build images. These models were evaluated by F1 …
Perishable Food Waste Reduction Through Technological Implementation At The Retail Level Of The Food Supply Chain,
2021
California Polytechnic State University, San Luis Obispo
Perishable Food Waste Reduction Through Technological Implementation At The Retail Level Of The Food Supply Chain, Cassandra Harriman
Master's Theses
Food waste has become a disaster of global proportion that the world can no longer turn a blind eye to. This paper aims to reduce food waste at the retail level of the food supply chain by recommending and quantifying the effects of current technology that can be implemented in traditional supermarkets. This research recommends that retailers implement electronic shelf labels in stores and employ dynamic pricing of perishable products, leading to reduction of food waste. No prior research had considered the primary goal of reducing food waste while preserving retailer profit through technological implementation. This paper quantifies the effects …
Electric Field Induced Self-Assembly Of Mesoscale Structured Materials And Smart Fluids,
2021
New Jersey Institute of Technology
Electric Field Induced Self-Assembly Of Mesoscale Structured Materials And Smart Fluids, Suchandra Das
Dissertations
This dissertation aims to study the forces that drive self-assembly in binary mixtures of particles suspended in liquids and on fluid-liquid interfaces when they are subjected to a uniform electric or magnetic field. Three fluid-particle systems are investigated experimentally and theoretically : (i) Suspensions of dielectric particles in dielectric liquids; (ii) Suspensions of ferromagnetic and diamagnetic particles in ferrofluids; and (iii) Dielectric particles on dielectric fluid-liquid interfaces. The results of these studies are then used to estimate the parameter values needed to assemble materials with desired mesoscale microstructures.
The first fluid-particle system studied is an electrorheological (ER) fluid formed using …
Service Quality Assessment And Improvement Methods And Tools,
2021
New Jersey Institute of Technology
Service Quality Assessment And Improvement Methods And Tools, Kevin M. Moriarty
Dissertations
The nucleus of this research concept and system is being applied to turret lathe and milling machine Computer Numerical Control (CNC) tool systems. The research has a generic application to the service of broad array of sophisticated computer controlled / integrated machines, devices / equipment such as industrial robotics, medical equipment, surgical robots, and similar types of engineered system. Quality design review for quality service systems is a unique concept. Standard product service systems are qualitative and subjective in nature. The quantitative system identifies Key Predictive Attributes (KPAs) and applies quantitative methods to these attributes to develop a systematic process …
Bibliometric Review Of Predictive Maintenance Using Vibration Analysis,
2021
Symbiosis Institute of Technology, Symbiosis International (Deemed University)
Bibliometric Review Of Predictive Maintenance Using Vibration Analysis, Aashna Midha Ms., Ishita Maheshwari Ms., Kaushik Ojha Mr., Kritika Gupta Ms., Shripad V. Deshpande Mr.
Library Philosophy and Practice (e-journal)
Every day the world is depending more and more on machines in almost every aspect of life. With the increasing use of machines, there also needs to be an evolution in the maintenance of these machines. Predictive maintenance is a process used to monitor the equipment and machinery during its operation to detect any damages and/or deteriorations and enable the required maintenance plan in advance, resulting in reduced operational costs and full utilization of tools and parts. The fundamental goal of this bibliometric review paper is a comprehension of the extent and sources of the literature available for predictive maintenance …
Design And Sensitivity Analysis Of Blood Supply Chain Network, The Merits Of Lateral Resupply,
2021
University of Arkansas Little Rock
Design And Sensitivity Analysis Of Blood Supply Chain Network, The Merits Of Lateral Resupply, Mohammad Arani
Theses and Dissertations
The vibrant subject of blood banking and blood distribution is addressed where lateral resupply of blood products is allowed. In this research, a blood supply chain network design (BSCND) consisting of four conventional levels each of which corresponding to one entity in the real world is comprehensively studied: donors, blood collection facilities, blood centers, and hospitals. Two important properties are considered within the blood supply chain network (BSCN): ABO-Rh factors and shelf lives of blood products. Moreover, an integrated inventory system for sharing hospitals’ inventory levels is designed to investigate the two performance indicators of the network in terms of …
Strategies For Achieving The United States Health System's Quadruple Aim By Enhancing The Primary Care Level,
2021
University of South Florida
Strategies For Achieving The United States Health System's Quadruple Aim By Enhancing The Primary Care Level, Jennifer L. Mendoza-Alonzo
USF Tampa Graduate Theses and Dissertations
The quadruple aim is an approach to optimize the performance of the health system in the United States and consists of four dimensions. The main objective is to improve the population's health, followed by reducing cost, improving patients' experience, and increasing providers' satisfaction. In the present doctoral dissertation, I explore three strategies that help accomplish the quadruple aim at the primary care level. The analysis combines data science and operation research principles to address health system engineering questions.
Each strategy proposed in this document emphasizes one objective more than another; however, all of them in conjunction serve to attain the …
Robust Optimization With Recourse In Portfolio Management: Theory And Applications To Stocks And Projects,
2021
Southern Methodist University
Robust Optimization With Recourse In Portfolio Management: Theory And Applications To Stocks And Projects, Hedieh Ashrafi, Aurelie Thiele
Operations Research and Engineering Management Theses and Dissertations
Many real-world decision problems in engineering and management have uncertain parameters. Robust optimization methodology takes into account the uncertainty in parameters of the model in the decision-making framework. In robust optimization methodology, we assume we do not know the probability distribution of parameters, and we have partial information about parameters. Portfolio management is one of those famous applications that have an uncertain environment. So, for this application, robust methodology would be a good choice. This dissertation contains three main works as the following:\\ In the first work, we provided the combination of European options and a robust optimization model to …
Topological Changes In The Functional Brain Networks Induced By Isometric Force Exertions Using A Graph Theoretical Approach: An Eeg-Based Neuroergonomics Study,
2021
University of Central Florida
Topological Changes In The Functional Brain Networks Induced By Isometric Force Exertions Using A Graph Theoretical Approach: An Eeg-Based Neuroergonomics Study, Lina Ismail
Electronic Theses and Dissertations, 2020-2023
Neuroergonomics, the application of neuroscience to human factors and ergonomics, is an emerging science focusing on the human brain concerning performance at work and in everyday settings. The advent of portable neurophysiological methods, including electroencephalography (EEG), has enabled measurements of real-time brain activity during physical tasks without restricting body movements. However, the EEG signatures of different physical exertion activity levels that involve the musculoskeletal system in everyday settings remain poorly understood. Furthermore, the assessment of functional connectivity among different brain regions during different force exertion levels remains unclear. One approach to investigating the brain connectome is to model the underlying …
Improving Logistics Efficiency Through Collaborative Truck Routing,
2021
University of Arkansas, Fayetteville
Improving Logistics Efficiency Through Collaborative Truck Routing, Patrick Dougherty
Industrial Engineering Undergraduate Honors Theses
The logistics industry is among the world’s largest and most essential. Specifically, trucking is a massive component of the modern logistics system. In 2012, truck transportation carried 68% of all freight tonnage in the U.S. However, trucking currently faces significant problems with efficiency and sustainability. Of all miles driven by trucks yearly in the U.S., 25% are driven with empty loads and 36% are driven with underutilized loads. In addition to this economic inefficiency, the industry faces social and environmental challenges. Driver turnover rates are near 100%, and trucking accounts for a significant level of greenhouse gas emissions. One potential …
Quantifying The Benefits Of A Collaborative Supply Chain Network Using A Discrete-Time Vehicle Routing Model,
2021
University of Arkansas, Fayetteville
Quantifying The Benefits Of A Collaborative Supply Chain Network Using A Discrete-Time Vehicle Routing Model, Matthew Walters
Industrial Engineering Undergraduate Honors Theses
The transportation industry contributed around one trillion dollars to the economy in 2016 accounting for 8.9% percent of the GDP. In 2017, it was responsible for 1.5 billion tons of CO2 emissions. With the American Trucking agency predicting a 35% growth in the trucking industry between 2016 and 2027, there are rising concerns about the impact the trucking industry will have on the economy and the environment. The trucking industry is also very inefficient with many trucks driving with empty loads or with less than full capacity loads. There is potential to save billions of dollars and cut back …
Locating Drone Battery Supply Stations To Facilitate The Delivery Of Medical Supplies In Low And Middle-Income Countries,
2021
University of Arkansas, Fayetteville
Locating Drone Battery Supply Stations To Facilitate The Delivery Of Medical Supplies In Low And Middle-Income Countries, Madeline Suellentrop
Industrial Engineering Undergraduate Honors Theses
In the sub-Saharan region of Africa, the inability to perform emergency blood transfusions due to an inadequate blood supply has led to high fatality rates, especially among women and children. The prevalence of disease in this region limits the supply of local blood donations and, if blood is imported, then the region’s poor infrastructure inhibits fast distribution. There is a need for a technological update in the current process that overcomes the limitations of regional transportation, and drones present one promising solution for delivering small, lightweight items such as blood units. The current focus of this new delivery method is …
