CAD/CAM Robotics and Factories of the Future

Volume II: Automation of Design, Analysis and Manufacturing

  • Birendra Prasad
  • S. N. Dwivedi
  • K. B. Irani
Conference proceedings

Table of contents

  1. Front Matter
    Pages I-XXI
  2. V. Kumar, M. D. German, S.-J. Lee, E. Atrek, R. Kodali, A. D. Belegundu et al.
    Pages 1-116
  3. S. K. Taneja, S. P. Rana, N. Singh, Michael D. Oliff, James Davis, Lorenzo Vicens et al.
    Pages 117-164
  4. Michael E. Grost, Trent Jaeger, Ming C. Leu, Dinesh K. Pai, Qiuming Zhu, A. Kusiak et al.
    Pages 165-229
  5. Sarma R. Vishnubhotla, Gautam Biswas, Michael D. Oliff, T. Cecchin, J. Ragot, D. Sauter et al.
    Pages 231-295
  6. Back Matter
    Pages 297-310

About these proceedings

Introduction

This volume is about automation - automation in design, automation in manufacturing, and automation in production. Automation is essen­ tial for increased productivity of quality products at reduced costs. That even partial or piecemeal automation of a production facility can deliver dramatic improvements in productivity has been amply demon­ strated in many a real-life situation. Hence, currently, great ef­ forts are being devoted to research and development of general as well special methodologies of and tools for automation. This volume re­ ports on some of these methodologies and tools. In general terms, methodologies for automation can be divided into two groups. There are situations where a process, whether open-loop or closed-loop, is fairly clearly understood. In such a situation, it is possible to create a mathematical model and to prescribe a mathe­ matical procedure to optimize the output. If such mathematical models and procedures are computationally tractable, we call the correspond­ ing automation - algorithmic or parametric programming. There is, however, a second set of situations which include process­ es that are not well understood and the available mathematical models are only approximate and discrete. While there are others for which mathematical procedures are so complex and disjoint that they are computationally intractable. These are the situations for which heuristics are quite suitable for automation. We choose to call such automation, knowledge-based automation or heuristic programming.

Keywords

Fertigung Produktivität algorithms automation computer-aided design (CAD) computer-aided manufacturing (CAM) development heuristics knowledge manufacturing model production programming robot robotics

Editors and affiliations

  • Birendra Prasad
    • 1
  • S. N. Dwivedi
  • K. B. Irani
  1. 1.Technical System Development, Electronic Data Systems, General MotorsArtificial Intelligence ServicesTroyUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-52323-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 1989
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-52325-0
  • Online ISBN 978-3-642-52323-6
  • About this book