Cooperative Knowledge Processing for Engineering Design

1. Front Matter

   Pages i-xx

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2. System Level Problems — Meeting Our Customer’s Needs

   1. Front Matter

      Pages 1-2

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   2. Manufacturing systems in the 21st century

      • M. E. Merchant

      Pages 3-15

   3. Complexity of manufacturing systems-subject oriented knowledge processing and control

      • J. Peklenik

      Pages 17-42

3. Co-operating Knowledge Sources

   1. Front Matter

      Pages 43-46

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   2. A unified decision support tool for product management

      • H. E. Cook, C. J. Gauthier Professor

      Pages 47-59

   3. Knowledge organisation and govern-for-flexibility in manufacturing

      • R. C. Michelini, G. L. Kovács

      Pages 61-82

   4. Comparison of decentralised and centralised computer-based production control

      • M. Weigelt, P. Mertens

      Pages 83-91

4. Collaborative Knowledge Processing

   1. Front Matter

      Pages 93-95

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   2. Enterprise integration with agent-based engineering data management

      • M. Kollingbaum, H. Stadlbauer

      Pages 97-108

   3. Knowledge Capture Helps to Get It Right the First Time

      1. Collaborative capture of geometry rationale

         • M. Klein

         Pages 109-117

      2. Design knowledge representation, retrieval and delivery for co-operative knowledge processing

         • C.-J. Su, M. Tseng

         Pages 119-143

   4. Time to market can be reduced by Reusing successful solutions

      1. Application of an object repository as an example of co-operative knowledge processing

         • G. L. Kovács, G. Jacucci, A. Lo Surdo, E. Mambella, M. Ronchetti, G. Succi et al.

         Pages 145-160

   5. Simulation Embody Knowledge and Support Sharing

      1. Supporting early design stages of technical systems by knowledge-based simulation

         • U. Langer, A. Lehmann

         Pages 161-175

5. Web of Shared Understanding

   1. Front Matter

      Pages 177-180

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   2. Sharing Understanding Needs Communication Across the Web

      1. The transaction costs analysis of the customer-supplier relationships in product development

         • Claudio Ciborra

         Pages 181-204

      2. A discourse model for collaborative design

         • Michael P. Case, Stephen C-Y. Lu

         Pages 205-224

   3. Shared Understanding Needs Semantic Relationships in the Web

      1. Unified Representation systems for different levels of abstraction

         • Arthur B. Baskin, Stephen C-Y. Lu

         Pages 225-235

      2. Information management for cooperative engineering

         • M. N. Huhns, M. P. Singh

         Pages 237-261

   4. Sharing Understanding Requires Persistence of the Web

      1. Flexible manufacturing system simulation using Sentinel — an active object oriented database management system

         • S. Chakravarthy, S. Tufekci

         Pages 263-284

Cooperative working environments and their development are becoming increasingly important and ever more frequent in different industrial sectors and this book provides a scientific approach for managing Team Engineering. Meta-cognitive knowledge and networks are identified as the key resources enabling engineering teams to work effectively and to reduce engineering time and this book illustrates how computer support can aid cooperative work within the context of practical methodologies and examples.
The fields covered in the book include:

• State-of-the-art research in cooperative learning tools;
• Practical examples and methodologies illustrating the implementation of cooperative networks; and
• An interdisciplinary approach to team engineering.

This valuable new book is sponsored by the International Federation for Information Processing (IFIP) and will be essential reading for researchers, engineers, technical managers involved in the development of advanced applications for engineering and manufacturing, and software design and engineering.

• communication
• engineering design
• information processing
• knowledge
• learning
• manufacturing
• networks
• problem solving
• simulation
• software

• Intelligent Information Technologies, Corp., Urbana, USA

  Arthur B. Baskin

• Computer and Automation Research Institute, Budapest, Hungary

  George Kovács

• University of Trento, Rovereto, Italy

  Gianni Jacucci

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