Research on the Technique of Product Configuration in PDM

Abstract:

Article Preview

The technology of product configuration in a Product Data Management (PDM) system was discussed in this paper. The paper presented the product configuration modeling technology by based on the ‘and/or’ tree of product configuration, the process relation and coupling relation between components, and then, a general model of the product configuration scheme was proposed. The product configuration algorithm based on the product configuration scheme was also introduced and the feasibility from the theory model to the program was proved. The paper also discussed the application of Case-Based Reasoning(CBR) technology in product configuration, and, the emphasis was given towards the similar component search by the Nearest Neighbor(N-N) method. Finally, the product configuration technology was implemented on hydro-generator design process, and the result indicated this technology was valuable to realize intelligentization and automation of product configuration.

Info:

Periodical:

Edited by:

Kai Cheng, Yingxue Yao and Liang Zhou

Pages:

132-139

Citation:

L. Lin et al., "Research on the Technique of Product Configuration in PDM", Applied Mechanics and Materials, Vols. 10-12, pp. 132-139, 2008

Online since:

December 2007

Export:

Price:

$38.00

[1] D.M. Chen: CAD/CAM Informationization of manufacturing industry, Vol. 7 (2003), pp.23-26.

[2] Shatona, in: QI Guo-ning translated. Products data management of manufacturing enterprises (Mechanical industry Publishing, China (2000), in press).

[3] D.T. Liu and X.W. Xu: COMPUT IND, Vol. 44, ( 2001), pp.251-262.

[4] S.W. Wang and J.W. Tan: Journal of computer aided design & computer graphic, Vol. 16 ( 2004), pp.655-659.

[5] X.B. Liu and C.F. Yuan: Computer integrated manufacturing systems, Vol. 9 (2003), pp.527-531.

[6] B. Eynarda, T. Galleta, P. Nowaka and L. Roucoules: COMPUT IND. Vol. 55 (2004), pp.301-316.

[7] W. Li and G.F. Liu: Group technology & production modernization, Vol. 21 (2004), pp.51-54.

[8] Z.Q. Zhang, Z. Qu and M. Fang: Journal of Xi'an Shiyou University (Natural Science Edition), Vol. 20 (2005), pp.80-82.

[9] McDermott: ARTIF INTELL , Vol. 19 (1982), pp.39-88.

[10] H.B. Xu and R.W. Li: Computer Engineering, Vol. 29 (2003), pp.49-50.

[11] B. Stein: APPL INTELL, Vol. 10 (1999), pp.247-255.

[12] X.R. Wang and W.H. Liu: Computer Engineering and Application, Vol. 2 (2002).

[13] L.F. Wang and S.B. Xu: The guided theory of arrangement analytic approach(The People's University of China Publishing, China (1990), in press).

[14] Y.X. Yuan and W.Y. Sun: Optimizing the theory and method(Beijing Science Publishing, China (1997), in press).

[15] C. Dong: Control and decision, Vol. 13 (1998).