From object-oriented to goal-oriented requirements analysis
Communications of the ACM
Usability issues in knowledge representation systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Artificial Intelligence Programming
Artificial Intelligence Programming
Learning to Re-engineer Semantic Networks Using Cultural Algorithms
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
An Assessment of Machine Translation for Vehicle Assembly Process Planning at Ford Motor Company
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
The description logic handbook
E-workcell: a virtual reality web-based decision support system for assembly line planning
Enterprise information systems IV
Intelligent Systems for Manufacturing at Ford Motor Company
IEEE Intelligent Systems
Intelligent systems in the automotive industry: applications and trends
Knowledge and Information Systems
Machine translation for manufacturing: a case study at ford motor company
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
The general motors variation-reduction adviser: deployment issues for an AI application
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
Ergonomics analysis for vehicle assembly using artificial intelligence
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
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Since its presentation at the inaugural 1989 IAAI Conference (O'Brien et al. 1989), Ford's Direct Labor Management System (DLMS) has evolved from a prototype being tested at a single assembly plant to a fully-deployed application that is being utilized at Ford's assembly plants throughout the world. DLMS is Ford's automated solution to managing the automobile manufacturing process system at our vehicle assembly plants. This paper will describe our experiences and the lessons that have been learned in building and adapting an AI system to the rapidly-evolving world of automotive vehicle assembly process planning. We will cover issues such as knowledge base development and maintenance, knowledge representation, porting the system to different platforms and keeping the system viable and upto-date through various organizational and business practice changes. We will also discuss how DLMS has become an integral part of Ford's assembly process planning business.