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2033 Digital Modernization at USMEPCOM: A Strategic Analysis of Future Military Applicant Processing
Get PDFThis research examines the projected 2033 applicant processing scenario considering the digital modernization efforts of the United States Military Entrance Processing Command (USMEPCOM). The study evaluates the necessary modifications to current processes, with a particular focus on the influence of two key information technology systems, the MEPCOM Integrated Resource System (MIRS) 1.1 and the Military Health System (MHS) Genesis, on manpower at a Military Entrance Processing Station (MEPS). In doing so, the study establishes baseline processing metrics for assessing these impacts. By utilizing discrete event simulation modeling and leveraging current literature, the study proposes strategies for incorporating technological advancements into MEPS operations. The focus is on improving workflows and reallocating manpower considering the interaction between emerging digital capabilities and current structures. The findings indicate that, while the integration of digital technologies significantly enhances operational efficiency and capacity, it also presents challenges in terms of interoperability and adaptability. Addressing these challenges, the study describes strategic approaches for USMEPCOM, emphasizing the importance of a data-driven, resilient modernization strategy
Advanced Intermediate Manufacturing (AIM) Supply Chain Concepts Leading to Reduced Lead Times and Improved Responsiveness
Get PDFThis thesis investigates the optimization of the supply chain for key aircraft components, focusing on the implementation of Advanced Intermediate Manufacturing (AIM) production facilities. Utilizing anyLogistix, the study compares the current supply chain model based on Supply Chain Operations Wing (SCOW) data with various AIM production facility configurations: single, dual, quadruple, and three utilization-driven models (high, medium, and low). The findings demonstrate that integrating AIM production facilities significantly reduces lead times, with even a single facility dramatically cutting down the lead time from over 800 days to approximately 104 days. The utilization models further provide insights into operational flexibility under varying demand scenarios. The thesis recommends starting with a single AIM production facility as a balanced approach to enhancing supply chain efficiency and managing investment costs effectively
U.S. Army Cadet Command Branch Prediction Model
Get PDFThe current system for providing US Army ROTC cadets their branches leaves significant uncertainty until the final pronouncement of branch assigned. This uncertainty can be alleviated by providing a prediction model for cadets to input personal data and desired branch to identify likelihood of receiving the request. This thesis produces a machine learning model capable of producing branch prediction for cadets
Developing a Rule-of-thumb to Predict Total O&S Costs Utilizing a Single CES Element
Get PDFA rule of thumb is a broadly accurate guide based on experience rather than theory. This study examines the potential for a rule of thumb to predict Operation and Sustainment (O&S) costs. The Center for Naval Analysis (CNA) found that a single variable could accurately predict total O&S costs. We found that while a single variable could be highly predictive and strongly correlated to total O&S costs, it is not the same variable for all platforms. We improved upon this initial heuristic proposed by Stumborg by developing an individual heuristic for each Mission Design (MD). We found that a form of manpower was the most predictive element at both the 2 and 3 Level Cost Element Structure (CES)
Atomistic Simulation: A Powerful and Effective Tool for Exploring the Stability and Thermomechanical Properties of Materials
Get PDFComputational Modeling of Single Shear Bolted Joints in Hybrid Composite Laminates with and without Film Adhesive
Get PDFThis research explores the effectiveness of predicting composite failure subject to quasi-static loading conditions using computational methods. FEA models were created using Abaqus and were employed to predict composite yield and initial failure behavior. Boundary conditions are generated to replicate the loading scenario seen in the experimental tests. Computationally predicted structural response of the composite range in accuracy from a 2% difference compared to experimental values to a maximum of 63%
Exploratory Analysis of Cislunar Disposal Options for Select L1 And L2 Orbit Families
Get PDFThe purpose of this research is to characterize the disposal options available for the planar and out of plane orbit families near the Moon. These options are meant to provide the impending Space Race around the cislunar regime a method to mitigate debris in the future. The disposal options are built upon a Sphere of Influence (SOI) reachability concept from a Circular Restricted Three-Body Problem (CR3BP). The SOI reachability will be based on the maneuver applied on a closed orbit in the velocity direction of the rotating frame. The post-maneuver trajectories will be propagated for 180 days and transformed into a heliocentric frame if they do not return to the Earth-Moon system. The perisol and aposol are used to calculate viable graveyard orbits
Relative Trajectories in the Circular-Restricted N-Body Problem (CRNBP) for a Sun-Mars L4 Long-Period Orbit
No full textExpanding interest into asteroids and systems further away from the traditional Earth environment necessitates an investigation into challenges that rendezvous and proximity operations (RPO) may face in this new domain. RPO trajectories in the Circular Restricted 3-Body Problem (CR3BP) for the Sun-Mars system will be compared to trajectories in the Circular Restricted N-Body Problem (CRNBP) with identical initial conditions for the Sun-Mars-Jupiter-Earth system to include additional multi-body effects. Initial results indicate that bounded relative trajectories likely do not exist in the CRNBP model, but some initial conditions that place Jupiter further from the satellite formation produce significantly more favorable conditions
Max Range Reentry Optimization in Pseudo 5DOF for Lifting Bodies with Heating and Survivability Constraints
No full textThis report will detail the methods and results of an optimal control problem (OCP) used to understand the maximum range of a reentering vehicle under heating and deceleration design constraints. A quick assumption of max range can be made on a reentry body by assuming a control effort to obtain the maximum lifting coefficient throughout the reentry. These trajectories often assume planar flight for quick calculations, and are useful for determining the absolute practical distance of a reentry. This is often an over simplification of the problem. Most reentry vehicles have certain design constraints that would limit the available reentry range such as deceleration limits for manned flight, heating constraints, and final velocity constraints for reentering missile platforms. These constraints turn the simple planar reentry problem into an OCP requiring numerical methods to solve. This research found that with an optimal control solution, a 60% reduction in total stagnation heat load allowable results in an 11% reduction in the performance metric
Utilization of the System Engineering Design Process to Design and Test a Low-Cost Infectious Aerosol Control Mechanism for Patient Aeromedical Evacuation
Get PDFThe aeromedical evacuation of military patients is a critical component of care for Armed Forces members. The Air Force’s ability to transport patients relies on the technology and systems available. A vital transport responsibility is keeping the patient and medical personnel safe during transport. The historical and legacy systems provide reliable transport mechanisms for the Armed Forces’ patients infected with high-level biological agents, but drawbacks must be considered. This dissertation will discuss the development, conceptual design, and initial evaluation of a new low-cost, litter-mounted patient transport system, Biological-Mitigation in Patient Transport (B-MIPT), using the “V” model of the system engineering design process. It will also detail the system engineering methods used to derive the design requirements based on historical and legacy systems. The resultant system was tested with two potential decontamination options: ultraviolet-C (UV-C) light-emitting diodes (LEDs) at 255 nm and an in-line high-efficiency particulate air (HEPA) filter. System verification illustrated the need for more experimentation to demonstrate the robustness of both decontamination subsystems to optimize the overall design. The best decontamination method that satisfies the design requirements can be evaluated after aerosol containment and decontamination efficiency experiments are complete. The system can potentially be used for aeromedical evacuation and as proof of concept for future designs requiring single-patient transport or replicated for mass-patient transport for individuals infected with a low-level biological agent