Advanced Information Technologies for Industrial Material Flow Systems

1. Front Matter

   Pages I-IX

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2. Nature of Information in Material Flow Systems

   1. Front Matter

      Pages 1-1

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   2. Managing Information Complexity in Material Flow Systems

      • James J. Solberg, Joseph A. Heim

      Pages 3-20

   3. Information Dynamics for Computer Integrated Product Realization

      • Charles A. Fritsch

      Pages 21-38

   4. Some Interactions of Information and Control in Integrated Automation Systems

      • Edward J. Barkmeyer

      Pages 39-54

3. Data and Knowledge Methodologies in Material Flow Systems

   1. Front Matter

      Pages 55-55

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   2. Distributed, Intelligent Information System for Automated, Integrated Manufacturing Systems

      • Detlef M. Weber, Colin L. Moodie

      Pages 57-79

   3. Applying Distributed Artificial Intelligence to Flexible Manufacturing

      • Michael J. Shaw, Andrew B. Whinston

      Pages 81-93

   4. Combining Predicate Transition Nets and Rule Based Systems for Planning, Programming and Exception Handling in Manufacturing Process Control

      • R. Dillmann, U. Negretto

      Pages 95-108

   5. A Knowledge-Based System for Production Equipment Selection and Layout

      • Andrew Kusiak, Sunderesh S. Heragu

      Pages 109-140

   6. Specifications for Knowledge Representation in Intelligent Systems Layout Design Environments

      • Benoit Montreuil

      Pages 141-168

4. Robotics and Communications

   1. Front Matter

      Pages 169-169

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   2. The Impact of Advances in Information Technology on Interactive Robotics

      • S. Y. Nof

      Pages 171-188

   3. The Karlsruhe Autonomous Mobile Assembly Robot

      • Ulrich Rembold

      Pages 189-199

   4. Knowledge Representation and Integration of Robot Assembly Applications

      • S. Schneider

      Pages 201-213

   5. Results of the Development of a Manipulator with a very large reach

      • Martin-Christoph Wanner, Alexander Schließmann

      Pages 215-222

   6. Global Path Planning Approaches for Material Movements in a Worksite

      • Jean-Claude Latombe

      Pages 223-278

   7. The Need for a Generic Framework for Systems Integration

      • R. H. Weston, J. D. Gascoigne, C. M. Sumpter, A. Hodgson

      Pages 279-306

5. Modeling Issues of Specific Material Flow Systems Functions

   1. Front Matter

      Pages 307-307

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   2. Some Issues in Controlling Integrated WIP Material Handling Systems

      • Leon F. McGinnis

      Pages 309-328

This book contains the results of an Advanced Research Workshop that took place in Grenoble, France, in June 1988. The objective of this NATO ARW on Advanced Information Technologies for Industrial Material Flow Systems (MFS) was to bring together eminent research professionals from academia, industry and government who specialize in the study and application of information technology for material flow contro!' The current world status was reviewed and an agenda for needed research was discussed and established. The workshop focused on the following subjects: The nature of information within the material flow domain. Status of contemporary databases for engineering and material flow. Distributed databases and information integration. Artificial intelligence techniques and models for material flow problem solving. Digital communications for material flow systems. Robotics, intelligent systems, and material flow contro!' Material handling and storage systems information and contro!' Implementation, organization, and economic research-issues as related to the above. Material flow control is as important as manufacturing and other process control in the computer integrated environment. Important developments have been occurring internationally in information technology, robotics, artificial intelligence and their application in material flow/material handling systems. In a traditional sense, material flow in manufacturing (and other industrial operations) consists of the independent movement of work-in-process between processing entities in order to fulfill the requirements of the appropriate production and process plans. Generally, information, in this environment, has been communicated from processors to movers.

• artificial intelligence
• computer
• control
• intelligence
• problem solving
• robot
• robotics
• storage
• data structures

• School of Industrial Engineering, Purdue University, W. Lafayette, USA

  Shimon Y. Nof, Colin L. Moodie

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