Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/2468
Title: System Dynamics Modeling for Improved Knowledge Value Assessment: A Proof of Concept Study
Authors: David N. Ford
Thomas J. Housel
John T. Dillard
Keywords: DoD Acquisition Programs
Alternative Diversity
Analysis of Alternatives (AoA)
Knowledge Value Added (KVA)
Unmanned Aerial Vehicles (UAV)
Alternative Selection
Issue Date: 9-Aug-2010
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Knowledge Valuation Analysis (KVA)
NPS-AM-10-162
Abstract: Effective and efficient DoD acquisition programs require the analysis of a wide range of materiel alternatives. Diversity among alternatives, difficulties in selecting metrics and measuring performance, and other factors make the Analysis of Alternatives (AoA)difficult. The benefits of alternatives should be included in the AoA, but cost estimates dominate most AoA processes. Incorporating benefits into AoA is particularly difficult because of the intangible nature of many important benefits. The current work addresses the need to improve the use of benefits in AoA by building a system dynamics model of a military operation and integrating it with the Knowledge Value Added (KVA) methodology. The synergies may be able to significantly improve the accuracy of KVA estimates in the AoA process. A notional mobile weapon system was modeled and calibrated to reflect four weaponized Unmanned Aerial Vehicles (UAV). Modeling a hypothetical AoA for upgrading one of the UAV indicated that there were potentially significant synergies that could increase the number of alternatives that could be analyzed, establishing common units of benefit estimates for an AoA, improved reliability of an AoA, and improved justification of AoA results. These can improve alternative selection, thereby improving final materiel effectiveness, thereby improving the DoD acquisition processes.
Description: Acquisition Management / NPS Faculty Research
URI: https://dair.nps.edu/handle/123456789/2468
Appears in Collections:Sponsored Acquisition Research & Technical Reports

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