DLMS: ten years of AI for vehicle assembly process planning
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
Conceptual Modeling for Distributed Ontology Environments
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Capturing Lessons Learned for Variation Reduction in an Automotive Assembly Plant
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Applying Knowledge Management: Techniques for Building Corporate Memories
Applying Knowledge Management: Techniques for Building Corporate Memories
The intellectual challenge of CSCW: the gap between social requirements and technical feasibility
Human-Computer Interaction
The general motors variation-reduction adviser: evolution of a CBR system
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Application of ontology guided search for improved equipment diagnosis in a vehicle assembly plant
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Hi-index | 0.00 |
The General Motors Variation-Reduction Adviser is a knowledge system built on case-based reasoning principles that is currently in use in a dozen General Motors Assembly Centers. This paper reviews the overall characteristics of the system and then focuses on various AI elements critical to support its deployment to a production system. A key AI enabler is ontology-guided search using domain-specific ontologies.