Decision Support Requirements in a Unified Life Cycle Engineering (ULCE) Environment. Volume 2. Conceptual Approaches to Optimization.

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. A key factor in being able to develop an ULCE design environment is the management of the design decision-making process in such a way as to ensure that designs, optimized among all the competing factors, both up front and downstream, can be produced. This report is the result of a study addressing the design decision support problem under ULCE. Volume I contains the results of the ULCE DSS Working Group efforts to outline a research and development plan for the design decision support for ULCE. Volume II is a review of the optimization techniques currently used or proposed to aid in the decision processes involved with competing requirements. The third volume of the report applies some of these optimization methods and other design support techniques to actual design problems.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1988
Accession Number
ADA195753

Entities

People

  • Joseph Naft
  • Karen J. Richter
  • Michael G. Pecht
  • Shapour Azam

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Dynamic Programming
  • Engineering
  • Engineers
  • Evolutionary Algorithms
  • Integer Programming
  • Mathematical Models
  • Mathematical Programming
  • Mechanical Engineering
  • Multiobjective Optimization
  • Optimization
  • Systems Engineering

Fields of Study

  • Engineering

Readers

  • Life Cycle Cost Analysis
  • Software Engineering
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.