Issue No. 01 - January/February (2007 vol. 22)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2007.13
Nestor Rychtyckyj , Ford Motor Company
It's a common misconception that the automobile industry is slow to adapt new technologies, such as AI, into the manufacturing sector. In reality, many early adaptations of AI were in the automotive sector, where such diverse technologies as expert systems, neural networks, genetic algorithms, and fuzzy logic were among the first to be used. Ford Motor Company is applying AI and knowledge-based technologies within its manufacturing arena, including an AI-based approach for vehicle assembly process planning, an application of AI for ergonomics analysis, and a system that uses machine translation to translate assembly-build instructions for assembly plants that don't use English as their primary language. Furthermore, specific technologies such as natural language processing, controlled languages, and ontologies can effectively deal with different types of knowledge, both structured and unstructured, prevalent in the manufacturing environment.
controlled language, standard language, assembly plants, manufacturing, ergonomics, machine translation
N. Rychtyckyj, "Intelligent Systems for Manufacturing at Ford Motor Company," in IEEE Intelligent Systems, vol. 22, no. , pp. 16-19, 2007.