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Failure modes and effects analysis through knowledge modelling

journal contribution
posted on 30.06.2015 by Ping C. Teoh, Keith Case
Failure mode and effect analysis (FMEA) is a widely used quality improvement and risk assessment tool in manufacturing. Accumulated information about design and process failures recorded through FMEA provides very valuable knowledge for future product and process design. However, the way the knowledge is captured poses considerable difficulties for reuse. This research aims to contribute to the reuse of FMEA knowledge through a knowledge modelling approach. An attempt is made to shift FMEA activities to the conceptual design stage. The early warning about possible failures will enable designers to avoid costly and difficult design changes at later stages of the design process. An object-oriented approach has been used to create an FMEA model. Functional diagrams have been used for the conceptual model. The FMEA model is assisted by functional reasoning techniques to enable automatic FMEA generation from historical data. The reasoning technique also provides a means for the creation of new knowledge. The FMEA generation process has been discussed. The automatic generation replaces the traditional brainstorming process for FMEA report creation. Failure report is used as the data source for the FMEA generation. The proposed method has been evaluated with a prototype software and case studies.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Volume

153

Pages

253 - 260 (8)

Citation

TEOH, P.C. and CASE, K., 2004. Failure modes and effects analysis through knowledge modelling. Journal of Materials Processing Technology, 153-154, pp.253 -260

Publisher

© Elsevier

Version

NA (Not Applicable or Unknown)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2004

Notes

This paper is closed access.

ISSN

0924-0136

Language

en

Exports