Foreword by Editor COL Brandon S. Thompson
DOI:
https://doi.org/10.37266/ISER.2025v12i2.pp70Keywords:
GDRKMCC, USMA, Systems Engineering, Engineering Management, Capstone Conference, West PointAbstract
This Industrial and Systems Engineering Review special issue highlights top papers from the 2024 Annual General Donald R. Keith memorial capstone conference held at the United States Military Academy (USMA), West Point, NY on the 2nd of May. Conference judges from industry, academia, and the military evaluated over 60 academic papers and selected the listed in this issue for publication in this journal. Each of these papers presents the results of a year-long senior design project or honors research at an undergraduate institution. The topics of these papers cover a wide spectrum, but all implemented aspects of systems engineering and engineering management to address real-world challenges facing industry and military organizations.
Systems engineering topics included mathematical modeling, human factors engineering, risk analysis, and value modeling. Leland IV et al. applied a mathematical approach to quantify cybersecurity risk and implemented the solution in a Model-Based Systems Engineering product, called the Cyber-security Risk Assessment and Mitigation (CRAM) Tool. Oo et al. used human factors systems engineering principles to enhance the user experience and reduce operator burden for the military air defense system. Advised by Jeremy Schlegel, Noah Cillo used systems engineering tools to provide a baseline of qualitative and quantitative variables of musical forms of communication and their impacts for the Sandia National Laboratories. Schreiner et al. developed a Capital Investment Risk Model (CIRM) for the Department of Veterans Affairs using ArcGIS to provide a layered risk visual of the country using a unique multi-criteria additive risk model and comparing the risk score against veteran satisfaction. Barzyk et al. introduced an innovative methodology that leverages generative artificial intelligence for automated data tagging to support tactical zero trust architecture implementation within military mission command systems. Batt et al. employed value modeling, project metrics, and linear regression analysis to assess project health of business and project management processes for the U.S. Army Corps of Engineers.
Engineering management applications involved lean six sigma, scheduling optimization, and resource allocation. Berry et al. applied lean six sigma principles to reduce schedule variance within the kitting department at Tobyhanna Army Depot. Day et al. minimized the scheduling time of the airspace allocation process by developing a 3D Bin Packing Problem model limited by unique airspace assignment constraints. Allen et al. created a data-driven scheduling tool inspired by the Vehicle Routing Problem to improve the efficiency of ground refueling operations saving an estimated 6,000 miles of refueling routing.
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