Architecture and Integration Requirements for an ULCE (Unified Life Cycle Engineering) Design Environment.

Abstract

The goal of Unified Life Cycle Engineering is to develop an advanced design environment that allows considerations of producibility and supportability to be integrated into the design process in a timely fashion, i.e., early in the design process, along with the usual considerations of performance, cost, and schedule. This paper reports the results of a study to develop the needed architecture for a design process that would implement Unified Life Cycle Engineering (ULCE) and analyze the problems of assimilation, interpretation, and integration of diverse data bases and analytical tools. The developed architecture addresses multiple levels of subsystem hierarchy and incorporates concurrency in the consideration of factors related to producibility, supportability, performance, cost, and schedule in the design process. Requirements and specifications for an executive and a control system to implement an ULCE architecture are developed and trends in research relevant to integration problems that will impact ULCE systems development are identified. Keywords: Trade-offs; Computer aided engineering.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1988
Accession Number
ADA194516

Entities

People

  • David Dierolf
  • David J. Owen
  • Karen J. Richter
  • Molly L. Brei
  • William E. Cralley

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Airframes
  • Artificial Intelligence
  • Computer Programming
  • Computer Programs
  • Computer-Aided Design
  • Computers
  • Databases
  • Engineers
  • Landing Gear
  • Manufacturing
  • Nose Wheels
  • Organizational Structure
  • Personnel Management
  • Systems Engineering
  • Three Dimensional

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Software Engineering.