A hybrid procedure for extracting rules of production performance in the automobile parts industry-Reference-Cited by-同舟云学术

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A hybrid procedure for extracting rules of production performance in the automobile parts industry

Published:2008-11-06 Issue:4 Volume:21 Page:423-437
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Chen You-Shyang,Cheng Ching-Hsue,Lai Chien-Jung

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-008-0190-5.pdf

Reference71 articles.

1. Aizenman J., Isard P. (1996) Production bottlenecks and congestion externalities during the transition to a market economy. International Review of Economics & Finance 5(3): 225–241 10.1016/S1059-0560(96)90031-3

2. Altam E.I., Macro G., Varetto F. (1994) Corporate distress diagnosis: Comparison using linear discriminant analysis and neural networks. Journal of Banking & Finance 18: 505–529. doi: 10.1016/0378-4266(94)90007-8

3. Aytug H., Lawley M.A., McKay K., Mohan S., Uzsoy R. (2005) Executing production schedules in the face of uncertainties: A review and some future directions. European Journal of Operational Research 161(1): 86–110. doi: 10.1016/j.ejor.2003.08.027

4. Banda K., Zeid I. (2006) To disassemble or not: A computational methodology for decision making. Journal of Intelligent Manufacturing 17(5): 621–634. doi: 10.1007/s10845-006-0022-4

5. Barber, S. (2004). Creating effective load models for performance testing with incomplete empirical data. In Proceedings, Sixth IEEE International Workshop, pp. 51–59.

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