Concurrent Engineering Teams. Volume 2: Annotated Bibliography

Abstract

Specific concurrent engineering practices vary among organizations. There are, however, various management practices that appear to work well for most organizations. This paper presents the reader with specific, useful examples from several defense contractors illustrating how multifunctional concurrent engineering teams are being organized and managed and how concurrent engineering team meetings are conducted and supported. The types of computer support that could be used to enhance the efficiency and effectiveness of concurrent engineering team meetings are identified. The general findings are that there exists a direct relationship between total quality management (TQM) and concurrent engineering, and that many applications of computer-aided group problem solving are possible and practical today for the concurrent engineering team meetings. Areas identified for additional research are the documentation of the decision process and rationale during the product and process definition, the capturing of lessons learned during the implementation of concurrent engineering, and the performance evaluation and training of team members.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1990
Accession Number
ADA236094

Entities

People

  • David A. Dierolf
  • Karen J. Richter

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Business Administration
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Databases
  • Engineers
  • Industrial Engineering
  • Information Processing
  • Information Science
  • Information Systems
  • Knowledge Management
  • Management Personnel
  • Manufacturing Engineering
  • Network Science
  • Organizational Structure
  • Systems Engineering

Fields of Study

  • Computer science
  • Engineering

Readers

  • Business Analytics
  • Organizational Process Management (OPM).