Use of Data Mining to Support the Development of Knowledge Intensive CAD |
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Authors: | K H Lau C Y Yip Alvin Wong |
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Institution: | Department of Industrial and System Engineering The Hong Kong Polytechnic University The Hong Kong Polytechnic University Hong Kong China Hong Kong |
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Abstract: | In order to compete in the global manufacturing mar ke t, agility is the only possible solution to response to the fragmented market se gments and frequently changed customer requirements. However, manufacturing agil ity can only be attained through the deployment of knowledge. To embed knowledge into a CAD system to form a knowledge intensive CAD (KIC) system is one of way to enhance the design compatibility of a manufacturing company. The most difficu lt phase to develop a KIC system is to capitalize a ... |
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