Utilization And Standardization Of Beverage Based Containers,
2020
California Polytechnic State University, San Luis Obispo
Utilization And Standardization Of Beverage Based Containers, Michael T. Bobke, Jack C. Maughan, Kenia Vargas
Industrial and Manufacturing Engineering
The purpose of this document is to formally describe and explain all of the decisions associated with the data collection and analysis for this Cal Poly Senior Project. Throughout the project, we will utilize and hone the skills that each team member has developed during our time in Cal Poly's Engineering program. In addition, this document will briefly describe some of Blue Diamond’s history as one of the biggest almond companies in the world. The statement of work will introduce and describe the current status of the beverage base container process and international beverage container design. Next it will discuss …
Rebar Impalement Safety,
2020
California Polytechnic State University, San Luis Obispo
Rebar Impalement Safety, Spencer C. Nefores, Steven M. Hoover
Industrial and Manufacturing Engineering
This project is sponsored by Webcor with the purpose of finding a better solution to rebar impalement safety. The current rebar impalement safety caps being used by Webcor were found to frequently fall off after being installed. This results in workers being exposed to the hazard for longer than desired. The research that has been done by the team showed that rebar impalement is a serious hazard and results in injury or death every year. Site visits and interviews were performed to aid in understanding the problem and designing solutions. The customer needs, current state of the problem, existing solutions, …
Parklets San Luis,
2020
California Polytechnic State University, San Luis Obispo
Parklets San Luis, Owen Kenny, Preston Jag Stebel, Leonidas Goodman, Lukas Braun
Industrial and Manufacturing Engineering
Downtown San Luis Obispo has been a popular destination for tourists, students, families, and roadtrippers. However, according to Ryan Betz, Interim Assistant to the City Manager, foot traffic and retail business revenue has been decreasing. Downtown SLO does not have enough free public spaces. Recent projects such as sidewalk bump outs and lighted crosswalks have aimed at making SLO more pedestrian accessible, but they have not actually made downtown more pleasurable. These projects have not seemed to drive any more business or traffic downtown. There are a myriad of ways to rectify this; studies show that having a free place …
Optimizing The Environmental And Economic Sustainability Of Remote Community Infrastructure,
2020
Air Force Institute of Technology
Optimizing The Environmental And Economic Sustainability Of Remote Community Infrastructure, Jamie E. Filer, Justin D. Delorit, Andrew J. Hoisington, Steven J. Schuldt
Faculty Publications
Remote communities such as rural villages, post-disaster housing camps, and military forward operating bases are often located in remote and hostile areas with limited or no access to established infrastructure grids. Operating these communities with conventional assets requires constant resupply, which yields a significant logistical burden, creates negative environmental impacts, and increases costs. For example, a 2000-member isolated village in northern Canada relying on diesel generators required 8.6 million USD of fuel per year and emitted 8500 tons of carbon dioxide. Remote community planners can mitigate these negative impacts by selecting sustainable technologies that minimize resource consumption and emissions. However, …
Flood Prediction And Uncertainty Estimation Using Deep Learning,
2020
Missouri University of Science and Technology
Flood Prediction And Uncertainty Estimation Using Deep Learning, Vinayaka Gude, Steven Corns, Suzanna Long
Engineering Management and Systems Engineering Faculty Research & Creative Works
Floods are a complex phenomenon that are difficult to predict because of their non-linear and dynamic nature. Therefore, flood prediction has been a key research topic in the field of hydrology. Various researchers have approached this problem using different techniques ranging from physical models to image processing, but the accuracy and time steps are not sufficient for all applications. This study explores deep learning techniques for predicting gauge height and evaluating the associated uncertainty. Gauge height data for the Meramec River in Valley Park, Missouri was used to develop and validate the model. It was found that the deep learning …
Applications Of Unmanned Aerial Systems (Uas): A Delphi Study Projecting Future Uas Missions And Relevant Challenges,
2020
Air Force Life Cycle Management Center
Applications Of Unmanned Aerial Systems (Uas): A Delphi Study Projecting Future Uas Missions And Relevant Challenges, Alberto Sigala, Brent T. Langhals
Faculty Publications
Over recent decades, the world has experienced a growing demand for and reliance upon unmanned aerial systems (UAS) to perform a broad spectrum of applications to include military operations such as surveillance/reconnaissance and strike/attack. As UAS technology matures and capabilities expand, especially with respect to increased autonomy, acquisition professionals and operational decision makers must determine how best to incorporate advanced capabilities into existing and emerging mission areas. This research seeks to predict which autonomous UAS capabilities are most likely to emerge over the next 20 years as well as the key challenges for implementation for each capability. Employing the Delphi …
Vehicle Routing Problem For Multi-Product Cross-Docking,
2020
Singapore Management University
Vehicle Routing Problem For Multi-Product Cross-Docking, Aldy Gunawan, Audrey Tedja Widjaja, Benjamin Gan, Vincent F. Yu, Panca Jodiawan
Research Collection School Of Computing and Information Systems
Cross-docking is a logistic technique that can reduce costs occurred in a supply chain network while increasing the flow of goods, thus shortening the shipping cycle. Inside a cross-dock facility, the goods are directly transferred from incoming vehicles to outgoing vehicles without storing them in-between. Our research extends and combines this cross-docking technique with a well-known logistic problem, the vehicle routing problem (VRP), for delivering multiple products and addresses it as the VRP for multi-product cross-docking (VRP-MPCD). We developed a mixed integer programming model and generated two sets of VRP-MPCD instances, which are based on VRPCD instances. The instances are …
Algorithm Selection Framework: A Holistic Approach To The Algorithm Selection Problem,
2020
Air Force Institute of Technology
Algorithm Selection Framework: A Holistic Approach To The Algorithm Selection Problem, Marc W. Chalé
Theses and Dissertations
A holistic approach to the algorithm selection problem is presented. The “algorithm selection framework" uses a combination of user input and meta-data to streamline the algorithm selection for any data analysis task. The framework removes the conjecture of the common trial and error strategy and generates a preference ranked list of recommended analysis techniques. The framework is performed on nine analysis problems. Each of the recommended analysis techniques are implemented on the corresponding data sets. Algorithm performance is assessed using the primary metric of recall and the secondary metric of run time. In six of the problems, the recall of …
Vote Forecasting Using Multi-Objective Decision Analysis,
2020
Air Force Institute of Technology
Vote Forecasting Using Multi-Objective Decision Analysis, Connor G. Crandall
Theses and Dissertations
In December 2018, the United States Federal Government began what would become the longest government shutdown in U.S. history. This was the 21st shutdown since the adoption of the current appropriations process and 4th of the last decade. These shutdowns occur after government departments and agencies submit budget requests to Congress and the legislature is unable to come to an agreement to pass an appropriations bill. There is no clear solution to this problem. But this study hypothesizes that government departments and agencies could benefit from considering the political viability of their own budget requests prior to submitting them to …
Investigating Lifecycle Costs Of Optimized Battery-Photovoltaic Systems On A Forward Operating Base,
2020
Air Force Institute of Technology
Investigating Lifecycle Costs Of Optimized Battery-Photovoltaic Systems On A Forward Operating Base, Neal S. Fennell
Theses and Dissertations
The purpose of this research was to investigate the total life-cycle cost of using utility-scale battery systems to increase the energy efficiency of forward operating bases, thereby reducing the burden of diesel fuel logistics. Specifically, this thesis answered three research questions addressing optimal sizing for various battery types connected with photovoltaic grids, logistical parameters directly impacting total cost, and the cost of increasing the energy resilience of the network. The research questions were answered through a review of literature, modeling, and data analysis. The model determines an optimal size and area for a Vanadium redox flow, Lithium-ion, or Lead-acid battery …
Defense Contractor Profit,
2020
Air Force Institute of Technology
Defense Contractor Profit, Clayton S. Eilert
Theses and Dissertations
This research seeks to achieve two objectives: 1) to provide a comprehensive survey of research related to defense contractor profitability, and 2) to conduct an updated analysis of such profitability. No previous comprehensive survey of the topic was found in the academic literature. Therefore, the provision of such a survey may significantly benefit future researchers. A paucity of recent defense contractor profit research related was identified; only one published study analyzed data after 2000 and none used data more recent than 2010. This research reconciles the gap in recent defense contractor profit studies via objective two. Panel data analysis is …
Preliminary Study Of Communication Network Characterization Towards Improved Organizational Behavior,
2020
Air Force Institute of Technology
Preliminary Study Of Communication Network Characterization Towards Improved Organizational Behavior, Taylor F. Flaxington
Theses and Dissertations
Nearly one third of the Air Force acquisition system’s large programs are over cost and half are over budget; performance must improve. This research applies a systems perspective to this challenge and frames the acquisition system as a complex system of systems. It is a system composed of people in multiple organizations; organizations interacting with one another to develop, acquire and sustain weapon programs. The system’s performance is an emergent behavior of its components (people), structure and processes. Communication networks are a view of a system’s structure, revealing the flows and interactions between components (people) as the system accomplishes its …
Predicting Upper Atmospheric Weather Conditions Utilizing Long-Short Term Memory Neural Networks For Aircraft Fuel Efficiency,
2020
Air Force Institute of Technology
Predicting Upper Atmospheric Weather Conditions Utilizing Long-Short Term Memory Neural Networks For Aircraft Fuel Efficiency, Garrett A. Alarcon
Theses and Dissertations
Aviation fuel is a major component of the Air Force (AF) budget, and vital for the core mission of the AF. This study investigated the viability of LSTMs to increase the accuracy of deterministic NWP models, while also investigating the ability to reduce model generation time. Increased forecast accuracy for wind speeds could be implemented into existing flight path models to further increase fuel efficiency, while reduced modeling times would allow flight planners to generate a flight plan in rapid response situations. The most viable model consisted of an ensemble of six LSTMs trained o six coordinates. The model's error …
Meta Learning Recommendation System For Classification,
2020
Air Force Institute of Technology
Meta Learning Recommendation System For Classification, Clarence O. Williams Iii
Theses and Dissertations
A data driven approach is an emerging paradigm for the handling of analytic problems. In this paradigm the mantra is to let the data speak freely. However, when using machine learning algorithms, the data does not naturally reveal the best or even a good approach for algorithm choice. One method to let the algorithm reveal itself is through the use of Meta Learning, which uses the features of a dataset to determine a useful model to represent the entire dataset. This research proposes an improvement on the meta-model recommendation system by adding classification problems to the candidate problem space with …
Recognizing Potential Cyberspace Warriors Through The Use Of Suspicion Propensity Index,
2020
Air Force Institute of Technology
Recognizing Potential Cyberspace Warriors Through The Use Of Suspicion Propensity Index, Meghan G. Strang
Theses and Dissertations
The Air Force currently suffers from excessively high attrition rates in the cyberspace career. The field is currently aiming to develop an entrance examination for the career, striving to improve personnel selection and decrease these high attrition rates. The attribute of suspicion is a key focus of the preliminary examination development, theorizing that it is a potential indicator present among competent cyber operators. This research makes use of the Suspicion Propensity Index (SPI), a reliable measure of one’s tendency to be suspicious, along with the highly cited Mayer’s trust questionnaire in order to compare the attributes that appear in successful …
Golng Off The Grid: Optimizing Solar Renewable Energy Systems At Remote Locations To Minimize Logistics Requirements, Increase Sustainability, And Strengthen Energy Assurance,
2020
Air Force Institute of Technology
Golng Off The Grid: Optimizing Solar Renewable Energy Systems At Remote Locations To Minimize Logistics Requirements, Increase Sustainability, And Strengthen Energy Assurance, Nathanael J. Thomsen
Theses and Dissertations
Grid-based electrical infrastructure is unavailable at many remote locations including developing nation communities, isolated construction sites, and military contingency bases. Powering these locations with diesel generators requires regular fuel resupply, resulting in increased costs, environmental impacts, and burdensome logistics—making generators an obstacle for energy resiliency and sustainability. This research examines using solar renewable energy systems to replace generators at remote locations and presents a multi-objective optimization model that minimizes logistics variables. Replacing a single deployed generator would save over 500,000 gal of fuel annually, eliminating the need for 100 fuel tanker deliveries.
Preferred Treatment Methods For Patients With Inflammatory Bowel Disease,
2020
Air Force Institute of Technology
Preferred Treatment Methods For Patients With Inflammatory Bowel Disease, James L. Deitschel
Theses and Dissertations
Shared decision making is the concept of physicians involving patients in the treatment planning process. The University of Maryland Medical Center is interested in applying shared decision making to the treatment of patients with Inflammatory Bowel Disease (IBD). The two treatment methods analyzed in this study were medical management and surgery. To explore patient preferences between these two alternatives, a discrete choice experiment (DCE) was employed. The responses for the DCE were binary, so logistic regression models were explored. The conditional logistic regression model was determined to be the most appropriate for this analysis. After step-wise regression was performed, a …
Providing Rational For Further Funding Additive Manufacturing Efforts In The Air Force,
2020
Air Force Institute of Technology
Providing Rational For Further Funding Additive Manufacturing Efforts In The Air Force, Trever J. Braunberger
Theses and Dissertations
Extremely long lead times for legacy aircraft replacement parts often exceed 120 days and cost 3 to 4 times the original price drives a search for alternative manufacturing methods such as additive manufacturing. Currently, the method to procuring a legacy replacement for aircraft such as the C-130 is daunting and at times, impossible. Through a comprehensive knowledge collection of organizational data the Air Force body of knowledge increases and provides actionable data to decision makers which has the potential of dramatically decreasing part wait times and procurement. The proposed, intuitive decision analysis framework mapped out in this research provides relevant …
Analysis And Forecasting Of The 360th Air Force Recruiting Group Goal Distribution,
2020
Air Force Institute of Technology
Analysis And Forecasting Of The 360th Air Force Recruiting Group Goal Distribution, Tyler Spangler
Theses and Dissertations
This research utilizes monthly data from 2012-2017 to determine economic or demographic factors that significantly contribute to increased goaling and production potential in areas of the 360th Recruiting Groups. Using regression analysis, a model of recruiting goals and production is built to identify squadrons within the 360 RCGs zone that are capable of producing more or fewer recruits and the factors that contribute to this increased or decreased capability. This research identifies that a zones high school graduation rate, the number of recruiters, and the number of JROTC detachments in a zone are positively correlated with recruiting goals and that …
An Analysis Of Learning Curve Theory & Diminishing Rates Of Learning,
2020
Air Force Institute of Technology
An Analysis Of Learning Curve Theory & Diminishing Rates Of Learning, Dakotah W. Hogan
Theses and Dissertations
Traditional learning curve theory assumes a constant learning rate regardless of the number of units produced; however, a collection of theoretical and empirical evidence indicates that learning rates decrease as more units are produced in some cases. These diminishing learning rates cause traditional learning curves to underestimate required resources, potentially resulting in cost overruns. A diminishing learning rate model, Boones Learning Curve (2018), was recently developed to model this phenomenon. This research confirmed that Boones Learning Curve is more accurate in modeling observed learning curves using production data of 169 Department of Defense end-items. However, further empirical analysis revealed deficiencies …
