The General Motors Variation-Reduction Adviser: Deployment Issues for an AI Application

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.

• Type: Conference
• Year: 2004
• Where: AAAI
• Authors: Alexander P. Morgan, John A. Cafeo, Kurt Godden, Ronald M. Lesperance, Andrea M. Simon, Deborah L. McGuinness, James L. Benedict
• Keywords: AAAI 2004, Dozen General Motors, General Motors, Intelligent Agents, Motors Variation-Reduction Adviser