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A hybrid intelligent inference model for computer aided process planning

X.G. Ming (The University of Hong Kong, Hong Kong)
K.L. Mak (The University of Hong Kong, Hong Kong)
J.Q. Yan (Shanghai Jiao Tong University, Shanghai, People’s Republic of China)

Integrated Manufacturing Systems

ISSN: 0957-6061

Article publication date: 1 December 1999

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Abstract

Computer aided process planning (CAPP) is generally acknowledged as a significant activity to achieve computer‐integrated manufacturing (CIM). In coping with the dynamic changes in the modern manufacturing environment, the awareness of developing intelligent CAPP systems has to be raised, in an attempt to generate more successful implementations of intelligent manufacturing systems. In this paper, the architecture of a hybrid intelligent inference model for implementing the intelligent CAPP system is developed. The detailed structure for such a model is also constructed. The establishment of the hybrid intelligent inference model will enable the CAPP system to adapt automatically to the dynamic manufacturing environment, with a view to the ultimate realization of full implementation of intelligent manufacturing systems in enterprises.

Keywords

Citation

Ming, X.G., Mak, K.L. and Yan, J.Q. (1999), "A hybrid intelligent inference model for computer aided process planning", Integrated Manufacturing Systems, Vol. 10 No. 6, pp. 343-353. https://doi.org/10.1108/09576069910293013

Publisher

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MCB UP Ltd

Copyright © 1999, MCB UP Limited

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