Facilitating Decision Making, Re-Use and Collaboration: A Knowledge Management Approach for System Self-Awareness

Abstract

Decades of reform have been largely ineffective at improving the efficiency of the DoD Acquisition System, due in part to the complex processes and stovepipe activities that result in duplication of effort, lack of re-use and limited collaboration on related development efforts. This research applies Knowledge Management (KM) concepts and methodologies to the DoD acquisition enterprise to increase "Program Self Awareness." This research supports the implementation of reform initiatives such as Capability Portfolio Management and Open Systems Architecture which share the common objectives of reducing duplication of effort, promoting collaboration and re-use of components. The DoD Maritime Domain Awareness (MDA) Program will be used as a test case to develop prototype data schemas and apply text and data mining tools to identify duplication and/or gaps in the features of select MDA technologies. This paper will also provide the foundation for future development of the System Self-awareness concept and KM tools to support decision making and collaboration in diversified commercial and military applications.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2009
Accession Number
ADA513921

Entities

People

  • Chris Odell
  • Douglas J. MacKinnon
  • John Robey
  • Shelley P. Gallup
  • Ying Zhao

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Best Practices
  • Complex Systems
  • Data Mining
  • Department Of Defense
  • Governments
  • Knowledge Management
  • Maritime Domain Awareness
  • Military Applications
  • Military Operations
  • Naval Operations
  • Organizational Structure
  • Security
  • Systems Engineering
  • Teamwork
  • Text Mining
  • Visualizations

Readers

  • Government and Public Administration Law.
  • Software Engineering.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy