SYSTEMS ENGINEERING AT THE U.S. MILITARY ACADEMY

1992 ◽  
Vol 2 (1) ◽  
pp. 509-513
Author(s):  
James L. Kays
2021 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
James Schreiner

FOREWORD This special issue of the Industrial and Systems Engineering Review highlights top papers from the 2020 annual General Donald R. Keith memorial capstone conference held at the United States Military Academy in West Point, NY. The conference was certainly a first of its kind virtual conference including asynchronous delivery of paper presentations followed by synchronous question and answer sessions with evaluation panels. Following a careful review of 63 total submissions, eleven were selected for publication in this journal. Unique to this year’s special edition is the mixed selection of seven project team capstone papers, and four honors research papers. Each paper incorporated features of systems or industrial engineering and presented detailed and reflective analysis on the topic. Although there are many elements which cut across the works, three general bodies of knowledge emerged in the papers including: systems engineering and decision analysis, systems design, modeling and simulation, and system dynamics. Systems Engineering and Decision Analysis topics included three unique contributions. Recognized as ‘best paper’ at the 2020 virtual conference, the work of Robinson et al. designed a multi-year predictive cost engineering model enabled through an MS O365 Power BI decision support interface to support U.S. Army Corps of Engineer (USACE) inland waterway national investment strategies. Schloo and Mittal’s work presents research in testing and evaluation of the Engagement Skills Trainer (EST) 2000 towards improving real-world soldier performance. Gerlica et al. employs a robust and scalable K-means clustering methodology to improve decision making in defensive shift schemes for Air Force Baseball outfield personnel. Systems Design works included three unique contributions. Binney et al. worked to design evaluation criteria for military occupational specialties associated with open-source intelligence (OSINT) analysts for the Army’s OSINT Office. Hales et al. interdisciplinary work aided in the design of search and identification systems to be incorporated on autonomous robotics to enable survivability improvements for the Army’s chemical, biological, radiological, nuclear, and explosives (CBRNE) units. Burke and Connell evaluated and designed a performance measurement-based assessment methodology for U.S. Pacific Command’s Key Leader Engagement process. System modeling and simulation included three unique contributions: Arderi et al. simulated and assessed how the Hyper-Enabled Operator (HEO) project improves situational awareness for U.S. Special Forces using the Infantry Warrior Simulation (IWARS). Blanks et al. employed a VBA module and Xpress software for a scheduling optimization model for enhancement of final exam scheduling at the U.S. Air Force Academy. Kelley and Mittal utilized a Batch Run Analysis and Simulation Studio (BRASS) program to batch multiple iterations of IWARS scenarios to study the integration of autonomous systems alongside military units. Finally, two unique contributions utilizing system dynamics (SD) modeling is presented: Dixon and Krueger developed a Vensim SD model to examine how policy recommendations across Central America could restrict gang activities while positively promoting women’s involvement in society. Cromer et al. utilized systems design approaches and a K-means clustering machine learning techniques to develop SD models in support of the U.S. Africa Command and Defense Threat Reduction Agency to examine the interdependence of threats across the Horn of Africa. Thank you and congratulations to the 2020 undergraduate scholars and all authors who provided meaningful contributions through steadfast intellectual efforts in their fields of study! Well done! LTC James H. Schreiner, PhD, PMP, CPEM Program Director, Systems and Decision Sciences (SDS) Department of Systems Engineering United States Military Academy Mahan Hall, Bldg 752, Room 423 West Point, NY 10996, USA [email protected]


2011 ◽  
Vol 38 (1) ◽  
pp. 164-172 ◽  
Author(s):  
Morten G. Ender ◽  
David E. Rohall ◽  
Andrew J. Brennan ◽  
Michael D. Matthews ◽  
Irving Smith

Author(s):  
Thomas G. Bradbeer

Matthew B. Ridgway was an influential American airborne commander during the Second World War and led United Nations forces during the Korean War. A 1917 graduate of the U.S. Military Academy, Ridgway served multiple tours in Latin America and Asia as a junior and mid-grade officer. A protégée of General George Marshall, he commanded the Eighty-Second airborne division during the invasions of Sicily, Italy, and France. During the Battle of Bulge and the invasion of Germany, he served as commander of the newly created Eighteenth Airborne Corps. Years later, during the Korean War, Ridgway transitioned from a staff position as a deputy to Army Chief of Staff Lawton Collins to become commander of the Eighth Army in Korea, and then commander of all U.N. forces in the Korean theatre. Ridgway's career, especially his leadership during the two wars, provides insights on the officer skills needed to effectively transition to different levels of command.


SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A93-A94
Author(s):  
Nita Lewis Shattuck ◽  
Lawrence G Shattuck ◽  
Panagiotis Matsangas

2017 ◽  
Vol 27 (1) ◽  
pp. 214-228 ◽  
Author(s):  
Clifford A. Whitcomb ◽  
Corina White ◽  
Rabia Khan ◽  
Dana Grambow ◽  
Jose Velez ◽  
...  

2020 ◽  
pp. 0095327X2097337
Author(s):  
Hillary S. Schaefer ◽  
Andrew G. Farina ◽  
Dave I. Cotting ◽  
Eliot S. Proctor ◽  
Cheveso L. Cook ◽  
...  

The military environment presents an intersection between a setting featuring unavoidable risk and individual risk-taking propensity; prior work suggests risk-takers have positive and negative outcomes here, and messaging about risk-taking in the military is mixed. The current study used social identity theory to examine how self-reported risk propensity related to three identities/outcomes among cadets at the U.S. Military Academy: attributes of an archetypal “Model Soldier” (physical and military excellence), “Model Student” (grade point average, service positions, and behavior), and Military Values (bravery, duty, and resilience). Structural equation modeling demonstrated that risk-taking was positively related to our Model Soldier and Military Values identities but negatively associated with being a Model Student. Additionally, high-risk-taking cadets were viewed by peers and instructors as confident but prone to judgment, self-discipline, and insight difficulties, suggesting overconfidence among risk-takers. Quantified as a difference between confidence and self-discipline, judgment, and insight, overconfidence mediated the relationship between risk-taking and the three identities, suggesting overconfidence drives both positive and negative associations with risk-taking. Military and leadership implications are presented.


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