Intelligent setup planning in manufacturing by neural networks based approach

Setup planning is considered the most significant but also difficult activity in Computer Aided Process Planning (CAPP), and has a strong impact on manufacturability, product quality and production cost. Indeed, setup planning activity deserves much attention in CAPP. The setup planning in manufacturing consists mainly of three steps, namely, setup generation, operation sequence, and setup sequence. In this paper, the Kohonen self-organizing neural networks and Hopfield networks are adopted to solve such problems in setup planning efficiently. Kohonen self-organizing neural networks are utilized, according to the nature of the different steps in setup planning, to generate setups in terms of the constraints of fixtures/jigs, approach directions, feature precedence relationships, and tolerance relationships. The operation sequence problem and the setup sequence problem are mapped onto the traveling salesman problem, and are solved by Hopfield neural networks. This paper actually provides a complete research basis to solve the setup planning problem in CAPP, and also develops the most efficient neural networks based approaches to solve the setup planning problem in manufacturing. Indeed, the results of the proposed approaches work towards the optimal solution to the intelligent setup planning in manufacturing.

[1]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[2]  C.L.P. Chen,et al.  Sequencing interactive features in process planning using episodal associative memory , 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

[3]  Xinguo Ming,et al.  A hybrid expert-neural-based function model for CAPP , 1997 .

[4]  T. Kohonen.  Self-organized formation of topographically correct feature maps , 1982 .

[5]  C. L. Philip Chen,et al.  Integration of design and manufacturing: solving setup generation and feature sequencing using an unsupervised-learning approach , 1994, Comput. Aided Des..

[6]  S. H. Huang,et al.  Artificial neural networks in manufacturing: concepts, applications, and perspectives , 1994 .

[7]  T. Kohonen.  Self-organized formation of topology correct feature maps , 1982 .

[8]  C. L. Philip Chen,et al.  Feature sequencing in the rapid design system using a genetic algorithm , 1996, J. Intell. Manuf..

[9]  Andrew Y. C. Nee,et al.  A hybrid approach for set-up planning , 1995 .

[10]  T. Kohonen.  Self-Organized Formation of Correct Feature Maps , 1982 .

[11]  Hoda A. ElMaraghy,et al.  Evolution and Future Perspectives of CAPP , 1993 .

[12]  Anders Krogh,et al.  Introduction to the theory of neural computation , 1994, The advanced book program.

[13]  Hong-Chao Zhang,et al.  Computer Aided Process Planning: the state-of-the-art survey , 1989 .

[14]  Hong-Chao Zhang,et al.  Computerized Manufacturing Process Planning Systems , 1994 .