Annual Acquisition Research Symposium Proceedings & Presentations Collection home page

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Since 2004, the Acquisition Research Program (ARP) at the Naval Postgraduate School (NPS) hosts a symposium annually for the acquisition community to focus on the business of defese acquisition. This symposium provides a forum for the presentation of current scholarly defense-focused acquisition research, as well as for dialogue between scholars, acquisition policy-makers, NPS students, practitioners, industry, FFRDCs and URACs. Papers/presentations are given by expert researchers from NPS and US universities/think tanks on recently completed defense-focused research and by thought leaders from DoD, industry and URAC/FFRDCs. The annual acquisition research symposium also serves an essential part of the graduate student learning experience at NPS. Students attend and participate in panel sessions to be enriched and to provide their valuable insights. The symposium also provides students the opportunity to present their research project results and/or socialize their current research topics to symposium participants at the annual student research poster show.

Approved for public release; distribution is unlimited. Prepared for the Acquisition Research Program at the Naval Postgraduate School, Monterey, CA 93943

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Collection's Items (Sorted by Submit Date in Descending order): 661 to 680 of 2351
Issue DateTitleAuthor(s)
2021-05-10Using Value Engineering to Propel Cyber-Physical Systems AcquisitionAlfred R. Schenker, Nickolas H. Guertin
2021-05-10Factors Limiting the Speed of Software AcquisitionDavid Tate, John Bailey
2021-05-10Rapid Innovation with Chinese Characteristics: National Defense Science and Technology Innovation Rapid Response Teams and the Military-Civil Fusion Innovation EcosystemEmily de La Bruyère
2021-05-10How to Measure Value From Defence Spending? The Malaysian Case StudyKogila Balakrishnan
2021-05-10Making the Kessel Run: Re-Insourcing Software Development in the U.S. Air ForceBryan Hudgens, Kathryn Aten; Jennifer Aroune, Robert Hollister; Nathan Taylor
2021-05-10Addressing Software-Based, Platform Interoperability Risks in Defense Systems by Using Distressed Debt Financial Strategies: A Technical Debt Mitigation ConceptAnn Gallenson, Scot Miller; Susan Higgins
2021-05-10Structural Complexity Analysis to Evaluate Technical Risk in Defense AcquisitionAntonio Pugliese, Roshanak Nilchiani; Maximilian Vierlboeck
2021-05-10A Study of MBSE Through the Development of Modeling and Data Exchange ProcessesWilliam Emeny, Ryan Robar; Dustin Talley, Michael Rubow; Lance Lowenberg, Lynn Nguyen
2021-05-10Digital Transformation for Defense Acquisition: Digital Engineering Competency Framework (DECF)Nicole Hutchison, Hoong Yan See Tao; Kara Pepe, Mark Blackburn; Clifford Whitcomb, Rabia Khan; Russell Peak, Adam Baker; Dinesh Verma
2021-05-10A Framework to Categorize the Benefits and Value of Digital EngineeringTom McDermott
2021-05-10Analyzing Digital Transformation using the Zachman Framework and SysMLMark kassan, John Colombi; Thomas Ford, Warren Connell
2021-05-10Strategies for Addressing Uncertain Markets and Uncertain TechnologiesWilliam Rouse, Dinesh Verma; D. Scott Lucero, Edward Hanawalt
2021-05-10Exploring Performance in Science and Technology ProgramsJohnathan Ritschel, Scott Drylie; Clay Koschnick, Eric Plack; Edward White
2021-05-10Understanding the Challenges of Providing Personal Protective Equipment in the United States During COVID-19Shaghayegh R. Arangdad, A Blanton Godfrey
2021-05-10Capability Based Planning in Humanitarian Operations: A Hybrid Optimization and Simulation Framework for Strategic Acquisition in the Armed ForcesStefan Wolfgang Pickl, Max Krüger; Dieter Budde, Gonzalo Barbeito
2021-05-10Framework for Augmenting Current Fleet with Commercially Available Assets for Logistics Support in Contested EnvironmentAruna Apte, Uday Apte; Ken Doerr
2021-05-10Rethinking Government Supplier Decisions: The Economic Evaluation of Alternatives (EEoA)Francois Melese, James Fan
2021-05-10Topological Data Analysis in Conjunction with Traditional Machine Learning Techniques to Predict Future MDAP PM RatingsBrian B. Joseph, Trami Pham; Christopher Hastings
2021-05-10Applying Multi-Criteria Decision-Making to the Technology Investment Decision-Making ProcessThomas R. Ivan, Edward E. Ille
2021-05-10Interdependence Analysis for Artificial Intelligence System SafetyBruce Nagy, Scot Miller
Collection's Items (Sorted by Submit Date in Descending order): 661 to 680 of 2351