Module Knowledge Management in Manufacturing Process

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Abstract:

Objective of knowledge management is to ensure that the right information is delivered to the right person just in time, in order to take the most appropriate decision. So classification is needed in knowledge management when technological knowledge is presented to designers in an automated knowledge management system. In this paper, we explore a method to classify knowledge through the module attributes in the manufacturing process. We can obtain the right knowledge quickly through the classification options so that the validity and velocity of the knowledge management are increased dramatically.

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Advanced Materials Research (Volumes 532-533)

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192-196

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June 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Bosch, G. Florijn, D. Greefhorst, J. Kuusela, H. Obbink, K. Pohl, Variability Issues in Software Product Lines, in: Proceedings of the Fourth International Workshop on Product Family Engineering(PFE-4), 2001, p.11–19.

DOI: 10.1007/3-540-47833-7_3

Google Scholar

[2] S. Deelstra, M. Sinnema, J. Bosch, Product derivation in software product families; a case study, Journal of Systems and Software 74/2(2005) 173–194.

DOI: 10.1016/j.jss.2003.11.012

Google Scholar

[3] J. Bosch, Design and use of software architectures: adopting and evolving a product line approach. Pearson Education (Addison-Wesley and ACM Press), ISBN 0-201-67494-7, (2000).

Google Scholar

[4] K. Czarnecki, S. Helsen, U. Eisenecker, Formalizing cardinality-based feature models and their specialization, Software Process Improvement and Practice 10 (1) (2005) 7–29.

DOI: 10.1002/spip.213

Google Scholar

[5] Akagi S. Design engineering一- new methodology for computer application in design, Vol. 1. Tokyo: Corona Publishing, 1991 (in Japanese).

Google Scholar

[6] NeuralWare Inc, NeuralWorks II/Plus: Software manual. PA, USA: NeuralWare Inc; (1993).

Google Scholar

[7] Billings SA, Zheng GL. Radial basis function network configuration using genetic algorithms. Neural Networks 1995, 8(6): 877–90.

DOI: 10.1016/0893-6080(95)00029-y

Google Scholar

[8] J.H. Han, A.A.G. Requicha, Integration of feature based design and feature recognition, Computer-Aided Design1997, 29: 393–403.

DOI: 10.1016/s0010-4485(96)00079-6

Google Scholar