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Information Management for Engineering Design

  • Textbook
  • © 1985

Overview

Authors:
  1. Randy H. Katz

    1. Computer Science Division Electrical Engineering and Computer Science Department, University of California, Berkeley, Berkeley, USA

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Part of the book series: Surveys in Computer Science (SURVEYS)

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-IX
    Download chapter PDF

  2. Computer-Aided Design Tools and Systems

    • Randy H. Katz
    Pages 1-11

  3. Survey of Engineering Design Applications

    • Randy H. Katz
    Pages 12-25

  4. Design Data Structure

    • Randy H. Katz
    Pages 26-42

  5. The Object Model

    • Randy H. Katz
    Pages 43-55

  6. Design Transaction Management

    • Randy H. Katz
    Pages 56-66

  7. Design Management System Architecture

    • Randy H. Katz
    Pages 67-83

  8. Conclusions

    • Randy H. Katz
    Pages 84-87

  9. Annotated Bibliography

    • Randy H. Katz
    Pages 89-93
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Keywords

About this book

Computer-aided design syst,ems have become a big business. Advances in technology have made it commercially feasible to place a powerful engineering workstation on every designer's desk. A major selling point for these workstations is the computer­ aided design software they provide, rather than the actual hardware. The trade magazines are full of advertisements promising full menu design systems, complete with an integrated database (preferably "relational"). What does it all mean? This book focuses on the critical issues of managing the information about a large design project. While undeniably one of the most important areas of CAD, it is also one of the least understood. Merely glueing a database system to a set of existing tools is not a solution. Several additional system components must be built to create a true design management system. These are described in this book. The book has been written from the viewpoint of how and when to apply database technology to the problems encountered by builders of computer-aided design systems. Design systems provide an excellent environment for discovering how far we can generalize the existing database concepts for non-commercial applications. This has emerged as a major new challenge for database system research. We have attem­ pted to avoid a "database egocentric" view by pointing out where existing database technology is inappropriate for design systems, at least given the current state of the database art. Acknowledgements.

Authors and Affiliations

  • Computer Science Division Electrical Engineering and Computer Science Department, University of California, Berkeley, Berkeley, USA

    Randy H. Katz

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