Acquisition Management for System-of-Systems: Requirement Evolution and Acquisition Strategy Planning

Abstract

The complex interdependencies between systems organized for a system-of-systems (SoS) capability pose a challenge to effective acquisition management of SoS assets. In general methodologies to assess risk that cascades through interdependencies are critical to effectively analyzing alternatives in a capability-based acquisition strategy. A particular problem occurs in cases where requirements on systems are evolving. In this paper, a Bayesian Network (BN) method is presented, which models requirement evolution in the midst of system interdependencies. The method analyzes the cascading effects of requirement and systems interdependencies on risk. A primary output of the approach is the identification of both critical systems and requirements. A synthetic problem is solved to demonstrate the proposed method.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 2012
Accession Number
ADA563318

Entities

People

  • Daniel Delaurentis
  • Seung Y. Han
  • Zhemei Fang

Organizations

  • Purdue University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Aeronautics
  • Aircrafts
  • Bayesian Networks
  • Commerce
  • Complex Systems
  • Department Of Defense
  • Engineering
  • Families (Human)
  • Littoral Combat Ships
  • Probability
  • Probability Distributions
  • Random Variables
  • System Of Systems
  • Systems Engineering
  • Unmanned Aerial Vehicles
  • Unmanned Surface Vehicles

Fields of Study

  • Computer science

Readers

  • Defense Acquisition Program Management
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy