Computer Integrated Manufacturing

Current Status and Challenges

  • I. Burhan Turksen
  • Kiyoji Asai
  • Gunduz Ulusoy

Part of the NATO ASI Series book series (volume 49)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Current Status

    1. Front Matter
      Pages 1-1
    2. Horst W. Artmann
      Pages 3-35
    3. Ir. B. Furth
      Pages 37-64
    4. Satoru Takashima
      Pages 91-110
  3. New Directions

    1. Front Matter
      Pages 111-111
    2. Abhijit Chaudhury, Shimon Y. Nof, Andrew B. Whinston
      Pages 113-139
    3. Hans-J. Schneider, Dimitris Karagiannis
      Pages 161-196
    4. L. M. Camarinha-Matos, A. Steiger-Garção
      Pages 197-212
  4. Management of Uncertainty

    1. Front Matter
      Pages 213-213
    2. Lotfi A. Zadeh
      Pages 215-241
    3. K. Hirota, S. Hachisu, Y. Arai
      Pages 267-294
    4. E. Bensana, G. Bel, D. Dubois
      Pages 295-330
  5. Models Toward Integration

    1. Front Matter
      Pages 331-331
    2. A. S. Kiran, B. C. Tansel
      Pages 377-395

About these proceedings

Introduction

The Current state of expectations is that Computer Integrated Manufacturing (CIM) will ulti­ mately determine the industrial growth of world nations within the next few decades. Computer Aided Design (CAD), Computer Aided Manufacturing (CAM), Flexible Manufacturing Systems (FMS), Robotics together with Knowledge and Information Based Systems (KIBS) and Com­ munication Networks are expected to develop to a mature state to respond effectively to the managerial requirements of the factories of the future that are becoming highly integrated and complex. CIM represents a new production approach which will allow the factories to deliver a high variety of products at a low cost and with short production cycles. The new technologies for CIM are needed to develop manufacturing environments that are smarter, faster, close-cou­ pled, integrated, optimized, and flexible. Sophistication and a high degree of specialization in materials science, artificial intelligence, communications technology and knowledge-information science techniques are needed among others for the development of realizable and workable CIM systems that are capable of adjusting to volatile markets. CIM factories are to allow the production of a wide variety of similar products in small batches through standard but multi­ mission oriented designs that accommodate flexibility with specialized software.

Keywords

Planning artificial intelligence automation fuzzy logic fuzzy sets fuzzy system intelligence knowledge knowledge base knowledge-based system modeling production robot scheduling uncertainty

Editors and affiliations

  • I. Burhan Turksen
    • 1
  • Kiyoji Asai
    • 2
  • Gunduz Ulusoy
    • 3
  1. 1.Department of Industrial EngineeringUniversity of TorontoTorontoCanada
  2. 2.Department of Industrial Engineering, College of EngineeringUniversity of Osaka PrefectureSakai, OsakaJapan
  3. 3.Department of Industrial EngineeringBogazici UniversityIstanbulTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-83590-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 1988
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-83592-6
  • Online ISBN 978-3-642-83590-2
  • About this book