Management and Operations Commons^™

Examining The Effect Of Contractor Logistics Support On The Reliability Of Military Aircraft, Rodrigo S. Campos De Moura

Theses and Dissertations

This study utilizes survival analysis for examining the effect of Contractor Logistics Support (CLS) on the reliability of military aircraft before and after implementing CLS. The provider of CLS in this study is the original equipment manufacturer that designed and produced the target aircraft of this study, the Embraer A-29 Super Tucano.

Green Skies Over Akron: “Revolutionizing Cak With A $20m Sustainability Blueprint", Oluwasemilore A. Akintelure, Kyle Rediger, Katie Horn

National Training Aircraft Symposium (NTAS)

Our groundbreaking research at Akron-Canton Airport (CAK) proposes a transformative $20 million electrical master plan, designed to revolutionize the airport into a sustainable aviation hub and an Advanced Air Mobility (AAM) leader - a unique stance compared to similar airports in its economic corridor. This initiative, poised to impact millions of travelers, integrates cutting-edge solar panel installations and infrastructure for electric Vertical Take-Off and Landing (eVTOL) vehicles. Our comprehensive analysis, encompassing energy consumption, economic impacts, and risk assessments, underpins this ambitious project. The implementation of green energy solutions is projected to substantially reduce CAK's carbon footprint, leading to a healthier …

Going Airborne: Kent State's Pioneering Leap Into Integrated Advanced Air Mobility, Jason T. Lorenzon

National Training Aircraft Symposium (NTAS)

This proposal centers on the development of a Concept of Operations in Advanced Air Mobility (AAM). Kent State University's College of Aeronautics and Engineering is poised to pioneer the integration of drones and electric Vertical Takeoff and Landing (eVTOL) systems, bridging the gap between its campus and airport by transporting students and faculty the 3NM distance from campus to the airport and back by a UAV. Beyond a standard research initiative, this proposal signifies a groundbreaking effort to reshape the landscape of educational aeronautics and Advanced Air Mobility and Urban Air Mobility. Our overarching goal is to transcend conventional boundaries …

Integrating Unmanned Aerial Systems For Enhanced Wildlife Hazard Assessment In Airport Environments, Savanna Box, Anna Golendukhina, Raymond Ayres, Nicholas Buckalew

National Training Aircraft Symposium (NTAS)

Our team has explored the use of Unmanned Aerial Systems (UAS) technologies to develop a concept of operations for data collection during a Wildlife Hazard Assessment. Data have been collected in a farmland area located two nautical miles south of Daytona Beach International Airport (Class C Airspace). The research team has applied and assessed the effectiveness of several Safety Risk Management protocols designed to ensure safe UAS operations during a WHA. The UAS crew has applied drone technologies to visually detect and record wildlife observations, activities, and natural habitats that could attract wildlife to the airport environment, as recommended by …

Fair Fault-Tolerant Approach For Access Point Failures In Networked Control System Greenhouses, Mohammed Ali Yaslam Ba Humaish

Theses and Dissertations

Greenhouse Networked Control Systems (NCS) are popular applications in modern agriculture due to their ability to monitor and control various environmental factors that can affect crop growth and quality. However, designing and operating a greenhouse in the context of NCS could be challenging due to the need for highly available and cost-efficient systems. This thesis presents a design methodology for greenhouse NCS that addresses these challenges, offering a framework to optimize crop productivity, minimize costs, and improve system availability and reliability. It contributes several innovations to the field of greenhouse NCS design. For example, it recommends using the 2.4GHz frequency …

The Role Of Organizational Theory For The Formulation Of A Sustainable Model Applicable To Air Traffic Management And Control Operations, Eva Maleviti

Publications

This paper provides a comprehensive introduction to Air Traffic Management (ATM), which encompasses Air Traffic Control (ATC) procedures, Reduced Separation Vertical Minima (RVSM) and Performance-Based Navigation (PBN) schemes. It also discusses the role of these and other elements in promoting environmental sustainability and the key factors essential for creating effective aviation operations. The main objective of this paper is to identify and select the most relevant components for establishing a theoretical framework for sustainable ATM and ATC practices. Notably, the organizational theory is used in this paper, aiming to create a firm theoretical model that can support sustainability in the …

Delphi Panel For Establishing Land Use Compatibility Areas And Standards For Vertiports, David C. Ison

International Journal of Aviation, Aeronautics, and Aerospace

This study aimed to determine land use compatibility guidelines for vertiports, which are locations where vertical take-off and landing (VTOL) aircraft operate. The study employed a three-round e-Delphi panel to establish vertiport land use compatibility zones and standards. The results reached a consensus of at least 70%, providing comprehensive land use compatibility recommendations for vertiports. The study provides a foundation for vertiport land use compatibility planning, ensuring the integration of vertiports in existing communities. The findings can also increase public and local officials' awareness of the needs and requirements of Advanced Air Mobility (AAM) infrastructure development. The uniformity between existing …

The Intellectual Structure And The Future Of Counter-Uncrewed Aerial Systems (Uas) Research: A Bibliometric And A Scoping Review, Chuyang Yang, Chenyu Huang, Yanhui Zhao

International Journal of Aviation, Aeronautics, and Aerospace

With advancements in remote sensing technology and affordable design, uncrewed aerial systems (UAS), commonly known as drones, have become prevalent in civil and military applications, such as agriculture, public safety, and aerial imaging. However, the rise in unlawful UAS activities, such as non-compliance with legal standards and potential terrorist attacks, has raised significant public concern, necessitating effective detection and mitigation solutions. Despite the growing importance of this issue, comprehensive and detailed examinations of existing counter-UAS solutions are lacking. To address this gap, this study conducts a bibliometric analysis and scoping review of the current literature to identify key topics and …

Leveraging Artificial Intelligence To Improve Data Configuration & Accuracy In Modern Flight Management Systems, Sreeram Chittayil

International Journal of Aviation, Aeronautics, and Aerospace

AI (Artificial intelligence) can automate the process of generating optimized flight routes using real-time data, such as AIRAC (Aeronautical Information Regulation and Control), significantly reducing the time needed for flight management tasks. While AIRAC data typically takes up to 28 days to refresh, AI could condense this process to just minutes, enhancing operational efficiency and ensuring pilots have timely and accurate flight information. The research includes practical experiments, prototype code, and visual case studies to demonstrate AI's role in optimizing FMS functions while addressing issues related to data input errors and human intervention. Key findings from trials show the algorithm's …

Performance Prism: A Comprehensive Framework For Performance Measurement In Aircraft Maintenance, Mohammed Timjerdine, Saoudi Taibi, Younes Moubachir

International Journal of Aviation, Aeronautics, and Aerospace

Aircraft maintenance is governed by rigorous safety requirements and high operational complexity, demanding robust performance measurement frameworks to ensure optimal maintenance practices. This paper investigates existing performance measurement methodologies within the sector, highlighting their limitations and the need for a more structured evaluation system. Through this critical analysis of current literature, the paper proposes the Performance Prism (PP) framework as a novel and potentially robust solution for assessing and enhancing aircraft maintenance performance. Because the PP framework integrates multiple dimensions of evaluation, it provides a holistic assessment of aircraft maintenance performance, thereby enhancing reliability, efficiency, and overall effectiveness. Using examples …

Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman

College of Graduate Studies: Theses & Dissertations

Proper condition monitoring has been a major issue among railroad administrations since it might cause catastrophic dilemmas that lead to fatalities or damage to the infrastructure. Although various aspects of train safety have been conducted by scholars, in-motion monitoring detection of defect occurrence, cause, and severity is still a big concern. Hence extensive studies are still required to enhance the accuracy of inspection methods for railroad condition monitoring (CM). Distributed acoustic sensing (DAS) has been recognized as a promising method because of its sensing capabilities over long distances and for massive structures. As DAS produces large datasets, algorithms for precise …

Short-Term Forecasting Airport Passenger Flow During Periods Of Volatility: Comparative Investigation Of Time Series Vs. Neural Network Models, David H. Hopfe, Kiljae Lee, Chunyan Yu

Publications

Recurrent Neural Networks (RNNs), known for handling complex data tasks like language translation and speech recognition, are seldom employed in airport management practice for daily and weekly passenger flow forecasting tasks. In this paper, we evaluate the effectiveness and adaptability of various neural network models (RNN, LSTM, GRU, Deep LSTM, Bidirectional LSTM, multivariate RNN, and multivariate LSTM) against standard time series models (ARIMA, SARIMA, and SARIMAX) for a short-term forecasting airport security checkpoint passenger flows at five major U.S. airports during the pandemic.

At Atlanta's Hartsfield-Jackson Airport (ATL), the RNN notably surpasses SARIMA's forecasting accuracy by 34% (DM= 3.44, p …

Impact Of Weather Factors On Airport Arrival Rates: Application Of Machine Learning In Air Transportation, Robert W. Maxson, Dothang Truong, Woojin Choi

Publications

Weather is responsible for approximately 70% of air transportation delays in the National Airspace System, and delays resulting from convective weather alone cost airlines and passengers millions of dollars each year due to delays that could be avoided. This research sought to establish relationships between environmental variables and airport efficiency estimates by data mining archived weather and airport performance data at ten geographically and climatologically different airports. Several meaningful relationships were discovered from six out of ten airports using various machine learning methods within an overarching data mining protocol, and the developed models were tested using historical data.

Risk Assessment Matrix Of Operational Safety (Ramos): Aviation Safety With A Matlab® Design Toolkit, Haoruo Fu, Chien-Tsung Lu, Zhenglei Ji

Journal of Aviation/Aerospace Education & Research

Safety is the priority of the aviation industry that requires continuous support and improvement. While the Safety Management Systems (SMS) is mandatory for the Federal Aviation Administration (FAA) Federal Aviation Regulation (FAR) Part 121 air carriers and Part 139 airports in the United States, SMS remains optional to General Aviation (GA) due to various reasons including limited budget and manpower associated with technologies. This paper aims to promote the adoption of MATLAB^® to develop a low-cost Risk Assessment Matrix of Operational Safety (RAMOS) (risk calculation and control) for GA operators. A case is presented to demonstrate the application of …

A Deep Bilstm Machine Learning Method For Flight Delay Prediction Classification, Desmond B. Bisandu, Irene Moulitsas

Journal of Aviation/Aerospace Education & Research

This paper proposes a classification approach for flight delays using Bidirectional Long Short-Term Memory (BiLSTM) and Long Short-Term Memory (LSTM) models. Flight delays are a major issue in the airline industry, causing inconvenience to passengers and financial losses to airlines. The BiLSTM and LSTM models, powerful deep learning techniques, have shown promising results in a classification task. In this study, we collected a dataset from the United States (US) Bureau of Transportation Statistics (BTS) of flight on-time performance information and used it to train and test the BiLSTM and LSTM models. We set three criteria for selecting highly important features …

Perception Of Crisis Management, Service Quality, And Loyalty Programs On Airline Travel Intention: What Roles Do Fear Of Covid-19 And Risk Attitude Play?, Sohel M. Imroz, Tamilla Curtis, Scott C. Ambrose

Publications

This research investigates the antecedents of airline travel intention, including the effects of crisis management, service quality perceptions, and loyalty programs, along with the fear of coronavirus disease (COVID-19) and risk attitude among individuals from different parts of the world during the peak of the pandemic. Its main objective is to assess how these variables impact passenger airline travel intention. Partial least squares structural equation modeling was used to assess the measurement model and test the hypothesized relationships on the sample of 944 travelers. Results indicated strong positive associations between fear of COVID-19, risk-averse attitudes, and service quality with respect …

A Literary Survey On The U.S. Airline Maintenance Outsourcing: Technology, Economics, And Politics Perspectives, Linfeng Jin, Chien-Ting Lu

Publications

This study examines the U.S. airline maintenance outsourcing- a common business phenomenon in the post-1978 deregulated airline industry. Over the years, there have been several fatal accidents in the U.S. linked to airline maintenance outsourcing, and it has caught the attention of the government and general public. This paper went over the complex airline maintenance outsourcing factors from technology, economics, and political tripartite perspectives. And suggestions for the airlines, the regulators and the legislators are made in the end

Integrating External Sensors With Crazyflie Drones, Xiaowen Wang, Dheryta Jaisinghani, Andrew Berns

Summer Undergraduate Research Program (SURP) Symposium

• Drones are widely used: Mini drones such as Crazyflie 2.1 are used in a variety of fields.
• Grove Sound Sensor function: Grove Sound Sensor can capture sound, providing more application possibilities for drones.
• The potential of Crazyflie 2.1: Although Crazyflie 2.1 has the potential to be an integrated sensor platform, prior to this project, it was uncertain whether sensors could be connected on it.
• Project motivation: Our project aims to explore whether Crazyflie 2.1 can be connected to the Grove Sound Sensor and collect and process data from the sensor.
• Impact of the project: If successful, this project will open …

Evaluating The Efficacy Of Virtual Reality (Vr) Training Devices For Pilot Training, Ryan Guthridge, Virginia Clinton-Lisell

Journal of Aviation Technology and Engineering

Virtual Reality (VR) technology is a quickly advancing field that has many documented benefits, including highly detailed environments, accuracy to the real world, and low cost of entry in the flight simulation market. At the time of this study, VR technology has not been well tested or widely accepted in the aviation industry. In this mixed methods study, quantitative and qualitative data was collected on beginning-level instrument pilots (n = 120) while performing a visual traffic pattern at an airport. A one-way ANOVA was used to evaluate the equivalence of each group in the study based on previous flight and …

Investigating The Costs And Economic Impact Of Flight Delays In The Aviation Industry And The Potential Strategies For Reduction, Ashmith Anupkumar

Electronic Theses, Projects, and Dissertations

This study addressed a critical issue in our travel life: flight delays. This study covers all aspects of a flight delay, from its causes and consequences to reduction strategies. The focused research questions were: To determine the outcome of flight delays in the aviation industry, to determine costs associated with flight delays for airlines, airports, and passengers, and to determine strategies for reducing flight delays in the aviation industry for robust findings. The findings for each question were as follows: the primary causes were overscheduling, airport hubbing, late check-ins, technical failure, etc. And the consequences were significant financial loss, the …