Engineering Design with Decision Support: An Application of Goal Decomposition

Abstract

Mathematical modeling is becoming a vital tool in engineering design. These models have been used to provide decision support to designers of systems characterized by many design choices. However, for the design of complex systems, these models become too large and cumbersome to be of significant value. As a result, research has progressed in the decomposition of the design problem. A decision support system, serving as a computer-based aid for engineers designing weapon systems, must integrate procedures dealing with designing for producibility and designing for supportability with those dealing with designing for performance cost and schedule (ULCE Implementation Plan, 1987). One of the characteristics of large weapon system development that causes difficulties in achieving this integration is the hierarchical nature of the design process. Typically, a system is designed in terms of subsystems which are required to meet certain specifications. Problems begin to arise when these specifications cannot be met. Consequently, these design processes may be enhanced by a computer-based system that supports the hierarchical nature of design. This research examines the application of mathematical modeling and knowledge-based system techniques to the development of decision support systems to support engineering design.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1990
Accession Number
ADA226730

Entities

People

  • Charles E. Wells

Organizations

  • Universal Energy Systems

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Artificial Intelligence
  • Complex Systems
  • Computer Programming
  • Computers
  • Decision Support Systems
  • Engineering
  • Engineers
  • Expert Systems
  • Hierarchies
  • Human Resources
  • Knowledge Based Systems
  • Mathematical Models
  • Models
  • United States
  • Weapon Systems

Fields of Study

  • Computer science
  • Engineering

Readers

  • Artificial Intelligence
  • Software Engineering
  • Systems Analysis and Design