Proceedings of the Artificial Intelligence and Manufacturing Research Planning Workshop
Leslie D. Interrante General Chair; George F. Luger, Editor
June 24-26, 1996, Albuquerque, New Mexico. Published by The AAAI Press, Menlo Park, California. This proceedings is available in book format.
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Contents
Sponsors
Organizing Committee
Preface / ix
Leslie Interrante and Steve Smith
Verification and Validation: A Case Study of a Decision Support System / 2
A. Terry Bahill, K. Bharathan, and Richard F. Curlee, University of Arizona
Bucket Brigades: A Self-Organizing Scheme for Sharing Work / 9
John J. Bartholdi, III, Georgia Institute of Technology; and Donald D.
Eisenstein, The University of Chicago
A Theory of Features for Discrete Manufacturing / 14
J. C. Boudreaux National Institute of Standards and Technology, U.S.
Department of Commerce
High Performance Expert Systems / 22
Todd D. Cherkasky, Work and Technology Institute
Tabu Search with Target Analysis to the Assembly Line Balancing
Problems--An Artificial Intelligence
Approach / 30
Wen-Chyuan Chiang, University of Tulsa
An Approach to Resource Constrained Project
Scheduling / 35
James M. Crawford, CIRL, University of Oregon
Research in Enterprise Integration / 40
Mark S. Fox, University of Toronto
Achieving Reconfigurable CAD/CAPP Integration by Reasoning from Shape
Producing Capabilities / 53
Daniel M. Gaines, Fernando Castaño, and Caroline G. Hayes,
University of Illinois at
Urbana-Champaign
Constraint-Based Scheduling for Batch Manufacturing / 63
Robert P. Goldman, Mark S. Boddy, and Mark J. Ringer, Honeywell Technology
Center
Mixed-Initiative Management of Integrated Process-Planning and
Production-Scheduling Solutions / 71
David W. Hildum, Norman M. Sadeh, Thomas J. Laliberty, and Stephen F. Smith,
Carnegie Mellon University; John McA'Nulty, Raytheon Company; and Dag Kjenstad,
Carnegie Mellon University
Optimizing Robot Placement for Visit-Point Tasks / 81
Yong K. Hwang and Peter A. Watterberg, Sandia National Laboratories
Qualitative Spatial Reasoning for Manufacturing Features / 88
Erik J. Johnson and Michael M. Marefat,
University of Arizona
Design Issues of a Knowledge-Based Welding Advisor / 98
Stephen D. Kleban, Sandia National Laboratories
How Can AI Procedures Become More Effective for Manufacturing? / 103
Boris Kovalerchuk, Lousiana State University; Evgenii Vityaev, Russan
Academy of Science; and Evangelos Triantaphyllou, Louisiana State University
Supporting Dynamic Adaptive Autonomy for Agent-based Systems / 112
Cheryl E. Martin, Robert H. Macfadzean, and K. Suzanne Barber, University of
Texas at Austin
Resource Reconfiguration Decisions for Distributed Shop Floor Control /
121
Patrick McDonnell and Sanjay Joshi, Pennsylvania State University
SmartWeld: A Knowledge-based Approach to Welding / 129
J. L. Mitchiner, S. D. Kleban, B. V. Hess, and K. W. Mahin, Sandia National
Laboratories; and D. Messink, IntelliCorp
An Agent-Based Fractal Model of Agile Manufacturing Enterprises:
Modeling and Decision-Making Issues / 136
Venkat N. Rajan, Wichita State University
Critics and Advisors: Heuristic Knowledge and Manufacturability / 146
J. J. Rivera, W. A. Stubblefield, and A. L. Ames, Sandia National
Laboratories
Configuration as Composite Constraint Satisfaction / 153
Daniel Sabin and Eugene C. Freuder, University of New Hampshire
Applying a Neural Network Based Classification Scheme to Inspect
Manufactured Assemblies / 162
Patrick J. Sincebaugh, U.S. Army Research Laboratory
Utilizing Neural Networks to Interpret Data Acquired from Automated Test
Systems / 171
Patrick Sincebaugh and William H. Green, U.S. Army Research Laboratory
Using PreAmp to Support Concurrent Engineering in the Manufacture
of Printed Circuit Assemblies (PCAs) / 180
Gregory L. Smith, Boeing Defense & Space Group, and Gerald R. Graves,
South Carolina Research Authority
Hierarchical Task-Network Planning for Process Planning for Manufacture
of Microwave Modules / 189
Stephen J. J. Smith, D. S. Nau, K. Hebbar, and I. Minis, University of
Maryland at College Park
Over-Constrained Scheduling Using Dynamic Programming / 195
Edward Sobiesk, University of Minnesota; Kurt Krebsbach, Honeywell
Technology Center; and Maria Gini, University of Minnesota
The Issues in Incremental Process Planning / 202
Dusan Sormaz, Ohio University
A Multi-Agent Framework for Modeling Supply Chain Dynamics / 210
Jayashankar M. Swaminathan, Stephen F. Smith, and Norman M. Sadeh, Carnegie
Mellon University
A Perspective on the Research and Development of Applications of
Artificial Intelligence in the Electric Power Industry / 219
A. Martin Wildberger, Electric Power Research Institute (EPRI)
Index / 225