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Failure modes and effects analysis through knowledge modelling
journal contribution
posted on 2015-06-30, 08:22 authored by Ping C. Teoh, Keith CaseFailure 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 TECHNOLOGYVolume
153Pages
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 -260Publisher
© ElsevierVersion
- 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
2004Notes
This paper is closed access.ISSN
0924-0136Publisher version
Language
- en