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Evaluating Process Improvement Courses Of Action Through Modeling And Simulation, Joseph R. Owens 2017 Air Force Institute of Technology

Evaluating Process Improvement Courses Of Action Through Modeling And Simulation, Joseph R. Owens

Theses and Dissertations

Quantifying an expected improvement when considering moderate-complexity changes to a process is time consuming and has potential to overlook stochastic effects. By modeling a process as a Numerical Design Structure Matrix (NDSM), simulating the proposed changes, and evaluating performance, quantification can be rapidly accomplished to understand stochastic effects. This thesis explores a method to evaluate complex process changes within Six Sigma DMAIC process improvement to identify the most desirable outcome amongst several improvement options. A tool to perform the modeling and evaluation is developed. This process evaluation tool is verified for functionality, then is demonstrated against generic processes, a case …


Revealing Casual Pathways To Sustainable Water Service Delivering Using Fsqca, Kate E. Gasparro, Jeffrey P. Walters 2017 Stanford University

Revealing Casual Pathways To Sustainable Water Service Delivering Using Fsqca, Kate E. Gasparro, Jeffrey P. Walters

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

This study aimed to build on theory and practice regarding the combinations of conditions that influence water service sustainability when external partners are involved. The study investigates 26 well projects that have been implemented in developing countries with the assistance of Engineers Without Borders-USA (EWB-USA). Using past literature on sustainable water service delivery in developing communities, emergent coding techniques with project documents, and surveys with EWB-USA team members, this study identifies a set of project conditions to conduct fuzzy-set Qualitative Comparative Analysis (fsQCA). Findings show that the presence of a water committee cannot alone account for project sustainability. Additional conditions, …


Impulse, Matt Schmidt, Lora Berg, Christine Delfanian, Dave Graves, Heidi Kronaizl, Emily Weber, Micayla Standish 2017 South Dakota State University

Impulse, Matt Schmidt, Lora Berg, Christine Delfanian, Dave Graves, Heidi Kronaizl, Emily Weber, Micayla Standish

Impulse (Jerome J. Lohr College of Engineering Publication)

[Page] 2 Better Equipped
[Page] 4 Flashback Summer Scholars
[Page] 6 Biomedical Engineering
Ryan Mahutga is the third mechanical engineering graduate in five years to receive a prestigious National Science Foundation Graduate Research Fellowship.
Nigerian native John Asiruwa is working with associate professor Stephen Gent on a mechanical engineering project to help Sanford Health build better heart stents.
Electrical engineering graduate Bruce Lutz has selected the biomedical engineering program as a target for his future giving.
[Page] 9 Programs Accredited
[Page] 10 Fast Wheels
[Page] 12 Five Unforgettable Weeks
[Page] 14 Second in the Nation
[Page] 16 Athletes and Engineering …


A Systems-Based Framework For Design And Analysis Of An R And D Structure, Polinpapilinho F. Katina, Charles B. Keating, Luna M. Magpili 2017 Old Dominion University

A Systems-Based Framework For Design And Analysis Of An R And D Structure, Polinpapilinho F. Katina, Charles B. Keating, Luna M. Magpili

Engineering Management & Systems Engineering Faculty Publications

A critical challenge for managerial effectiveness and competitive advantage in research and development (R and D) organizations is developing an appropriate structural configuration. However, in finding an appropriate structural configuration, R and D managers are faced with unprecedented levels of uncertainty, ambiguity, and accelerating complexity, coupled with demands for increased productivity. This paper develops a systems-based framework to support rigorous design, analysis, and transformation of the structure for R and D organizations. The framework development includes: (1) a review of the literature for the nature and role of the structure in R and D management; (2) setting of the R …


Loading Time Flexibility In Cross-Docking Systems, Dincer Konur, Mihalis M. Golias 2017 Missouri University of Science and Technology

Loading Time Flexibility In Cross-Docking Systems, Dincer Konur, Mihalis M. Golias

Engineering Management and Systems Engineering Faculty Research & Creative Works

In this study, we investigate truck-to-door assignment problem for loading outgoing trucks in a cross-docking system with flexible handling times. Specifically, a truck's loading time depends on the number of workers assigned to the outbound door, where the truck is being loaded. An optimization problem is formulated to jointly determine the number of workers and the trucks to be loaded at each door. The resulting problem is a nonlinear integer programming model. Due to the complexity of this model, two evolutionary heuristic methods are proposed for solution. First heuristic method is based on truck assignments while the second heuristic is …


Development And Investigation Of An Air Transportation Operations Safety Climate Scale, Matthew D. Roberts 2017 Air Force Institute of Technology

Development And Investigation Of An Air Transportation Operations Safety Climate Scale, Matthew D. Roberts

Theses and Dissertations

Safety is of critical importance in many industries, and the US Air Force is no exception. Since 2005, the US Air Force has experienced more than 119 on-duty air and ground fatalities as well as 520 off-duty ground fatalities. One of the more dangerous environments in the U.S. Air Force and the civilian industry is air transportation operations where the fatal injury rate is higher than the national average. However, peer-reviewed safety research focusing on air transportation operations is practically non-existent, both in the military and civilian context. Therefore, safety research that helps us better understand how to shape safety …


Evaluation Of A Scientifically Developed Anesthesiology Handoff Protocol, Kristen Lise Welsh Webster 2017 Embry-Riddle Aeronautical University

Evaluation Of A Scientifically Developed Anesthesiology Handoff Protocol, Kristen Lise Welsh Webster

Doctoral Dissertations and Master's Theses

Communication failures have been cited as the leading cause of avoidable adverse events in healthcare. Specifically, within handoffs, these communication failures can cause error in the transfer of patient information. A multitude of factors can affect the transmission of patient information between providers including transactive memory, power distance, and conversational noise; however, literature suggests that the use of handoff protocols assist in improving communication and efficiency during handoffs. Studies regarding handoffs have typically centered on the content or delivery of the information during the handoff. To date, none have targeted the underlying mechanisms of the communication and their effects on …


The Subject Librarian Newsletter, Engineering And Computer Science, Fall 2017, Buenaventura "Ven" Basco 2017 University of Central Florida

The Subject Librarian Newsletter, Engineering And Computer Science, Fall 2017, Buenaventura "Ven" Basco

Libraries' Newsletters

No abstract provided.


Macrodamage Accumulation Model For A Human Femur, Farah Hamandi, Tarun Goswami 2017 Wright State University - Main Campus

Macrodamage Accumulation Model For A Human Femur, Farah Hamandi, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

The objective of this study was to more fully understand the mechanical behavior of bone tissue that is important to find an alternative material to be used as an implant and to develop an accurate model to predict the fracture of the bone. Predicting and preventing bone failure is an important area in orthopaedics. In this paper, the macrodamage accumulation models in the bone tissue have been investigated. Phenomenological models for bone damage have been discussed in detail. In addition, 3D finite element model of the femur prepared from imaging data with both cortical and trabecular structures is delineated using …


Split-Merge Model Of Workunit Replication In Distributed Computing, Alexander Rumyantsev, Srinivas R. Chakravarthy 2017 Petrozavodsk State University

Split-Merge Model Of Workunit Replication In Distributed Computing, Alexander Rumyantsev, Srinivas R. Chakravarthy

Industrial & Manufacturing Engineering Presentations And Conference Materials

No abstract provided.


Numerical Methods For Nonlinear Optimal Control Problems And Their Applications In Indoor Climate Control, Runxin He 2017 Washington University in St. Louis

Numerical Methods For Nonlinear Optimal Control Problems And Their Applications In Indoor Climate Control, Runxin He

McKelvey School of Engineering Graduate Student Theses & Dissertations

Efficiency, comfort, and convenience are three major aspects in the design of control systems for residential Heating, Ventilation, and Air Conditioning (HVAC) units. In this dissertation, we study optimization-based algorithms for HVAC control that minimizes energy consumption while maintaining a desired temperature, or even human comfort in a room. Our algorithm uses a Computer Fluid Dynamics (CFD) model, mathematically formulated using Partial Differential Equations (PDEs), to describe the interactions between temperature, pressure, and air flow. Our model allows us to naturally formulate problems such as controlling the temperature of a small region of interest within a room, or to control …


Forecasting Us Army Enlistment Contract Production In Complex Geographical Marketing Areas, Joshua L. McDonald, Edward D. White, Raymond R. Hill, Christian Pardo 2017 Army Materiel Systems Analysis Activity

Forecasting Us Army Enlistment Contract Production In Complex Geographical Marketing Areas, Joshua L. Mcdonald, Edward D. White, Raymond R. Hill, Christian Pardo

Faculty Publications

Purpose: The purpose of this paper is to demonstrate an improved method for forecasting the US Army recruiting. Design/methodology/approach: Time series methods, regression modeling, principle components and marketing research are included in this paper. Findings: This paper found the unique ability of multiple statistical methods applied to a forecasting context to consider the effects of inputs that are controlled to some degree by a decision maker. Research limitations/implications: This work will successfully inform the US Army recruiting leadership on how this improved methodology will improve their recruitment process.
Practical implications: Improved US Army analytical technique for forecasting recruiting goals.


Adaptive Learning Pedagogy In Udl And Multi-Modal Training, Ziho Kang, Mattlyn R. Dragoo, Randa L. Shehab, Han Yuan, Lei Ding, Stephen G. West 2017 University of Oklahoma Norman Campus

Adaptive Learning Pedagogy In Udl And Multi-Modal Training, Ziho Kang, Mattlyn R. Dragoo, Randa L. Shehab, Han Yuan, Lei Ding, Stephen G. West

National Training Aircraft Symposium (NTAS)

Currently, most learning methods are based on classroom teaching through unidirectional communication using boards or slides. However, the Universal Design for Learning (UDL) asserts that the students can increase their performance if the instructors can provide the students with diversified information representation, expression, and engagement means. Although UDL minimizes the mismatch between the teaching and learning styles, we lack the detailed methods to implement the UDL and its associated multi-modal training methods in the context of air traffic control candidates and/or technical operators. We propose an approach that adapts the Index of Learning Styles (ILS) based on four categories: perception, …


A Mixed Methods Study Of The Performance And Dynamics Of University Technology Transfer And Commercialization, Berk Dogan 2017 Louisiana State University and Agricultural and Mechanical College

A Mixed Methods Study Of The Performance And Dynamics Of University Technology Transfer And Commercialization, Berk Dogan

LSU Master's Theses

The technology transfer and commercialization encompasses various activities involved in acquiring intellectual property rights for the inventions, marketing of the inventions, and diffusing into the public domain through commercialization. Although many scholars have studied technology transfer within the academic institutions' context, the process has been assumed to be sequential. The technology transfer process is a complex process to be generalized as a linear sequential process. A mixed methods approach has been used to triangulate the findings from the literature review and descriptive analyses to conceptualize an alternative model that reflects the actual process more accurately. It was found that the …


Determination Of Recovery Time For A Simple Lifting Task Based On Weight, Frequency, And Duration Of The Lift, Milad Amini 2017 Louisiana State University and Agricultural and Mechanical College

Determination Of Recovery Time For A Simple Lifting Task Based On Weight, Frequency, And Duration Of The Lift, Milad Amini

LSU Master's Theses

Musculoskeletal disorders (MSDs) are a leading cause of injury in American workplaces which cost the economy billions of dollars each year. Extensive research has shown that job fatigue is one of the causes of MSDs. Allocating frequent and adequate rest break is suggested to be an effective method in mitigating the work overload and fatigue prevention. The objective of this research was to determine rest periods for lifting tasks based on the activity heart rate and by using a set of task variables. Twenty-four university male students took part in this study. The two response variables were perceived level of …


Predictive Power And Validity Of Connectome Predictive Modeling: A Replication And Extension, Michael Wang, Joaquin Goni, Enrico Amico 2017 Purdue University

Predictive Power And Validity Of Connectome Predictive Modeling: A Replication And Extension, Michael Wang, Joaquin Goni, Enrico Amico

The Summer Undergraduate Research Fellowship (SURF) Symposium

Neuroimaging, particularly functional magnetic resonance imaging (fMRI), is a rapidly growing research area and has applications ranging from disease classification to understanding neural development. With new advancements in imaging technology, researchers must employ new techniques to accommodate the influx of high resolution data sets. Here, we replicate a new technique: connectome-based predictive modeling (CPM), which constructs a linear predictive model of brain connectivity and behavior. CPM’s advantages over classic machine learning techniques include its relative ease of implementation and transparency compared to “black box” opaqueness and complexity. Is this method efficient, powerful, and reliable in the prediction of behavioral measures …


Pilot Performance With Advance Sensor Technlogies Considerations, Erin R. Groll, Nsikak Udo-Imeh, Steven Landry Dr. 2017 Purdue University

Pilot Performance With Advance Sensor Technlogies Considerations, Erin R. Groll, Nsikak Udo-Imeh, Steven Landry Dr.

The Summer Undergraduate Research Fellowship (SURF) Symposium

Research on human performance indicates people may discretely shift modes as the difficulty in tasks changes. These modes are referred to as “cognitive control modes.” Cognitive control modes are ways people operate and handle their process of thinking during a series of tasks. However, past work has been confined to subjective reports of these mode changes - objective markers in data of cognitive control modes, which should appear if these mode changes are truly discrete, have not be identified. This work will attempt to identify markers of cognitive control modes in data collected on pilots flying instrument approaches. Specifically, a …


Multi-Objective Two-Stage Stochastic Programming For Adaptive Interdisciplinary Pain Management With Piece-Wise Linear Network Transition Models, Gazi Md Daud Iqbal 2017 University of Texas at Arlington

Multi-Objective Two-Stage Stochastic Programming For Adaptive Interdisciplinary Pain Management With Piece-Wise Linear Network Transition Models, Gazi Md Daud Iqbal

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Pain is the most common symptom when a patient visits a physician. People experience pain throughout their lifetime at different degrees. If short term pain is not treated properly, then it can become long term pain, which is also known as chronic pain. The Eugene McDermott Center for pain management at UT Southwestern Medical Center conducts a two-stage pain management program for chronic pain. This research uses a two-stage stochastic programming approach to optimize personal adaptive treatment strategies for pain management. The goal is to generate adaptive treatment strategies using statistics based optimization approaches that can be used by physicians …


Essays In Measuring, Controlling, And Coordinating Supply Chain Inventory And Transportation Operations, Payam Parsa 2017 University of Arkansas, Fayetteville

Essays In Measuring, Controlling, And Coordinating Supply Chain Inventory And Transportation Operations, Payam Parsa

Graduate Theses and Dissertations

Supply chain collaboration programs, such as continuous replenishment program (CRP), is among the most popular supply chain management practices. CRP is an arrangement between two partners in a supply chain to share information on a regular basis for lowering logistics costs while maintaining or increasing service levels. CRP shifts the replenishment responsibility to the upstream partner to avoid the bullwhip effect across the supply chain. This dissertation aims to quantify, measure, and expand the benefits of CRP for the purpose of reducing logistics cost and improving customer service. The developed models in this dissertation are all applied in different case …


An Economic Analysis Of Residential Photovoltaic Systems With And Without Energy Storage, Rodney Moses Kizito 2017 University of Arkansas, Fayetteville

An Economic Analysis Of Residential Photovoltaic Systems With And Without Energy Storage, Rodney Moses Kizito

Graduate Theses and Dissertations

Residential photovoltaic (PV) systems serve as a source of electricity generation that is separate from the traditional utilities. Investor investment into residential PV systems provides several financial benefits such as federal tax credit incentives for installation, net metering credit from excess generated electricity added back to the grid, and savings in price per kilowatt-hour (kWh) from the PV system generation versus the increasing conventional utility price per kWh. As much benefit as stand-alone PV systems present, the incorporation of energy storage yields even greater benefits. Energy storage (ES) is capable of storing unused PV provided energy from daytime periods of …


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