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Information modelling for variation risk management during product and process design

Author

Listed:
  • Alaa Hassan
  • Jean-Yves Dantan
  • Ali Siadat

Abstract

Different methodologies and tools are available for the management and analysis of system dependability, safety and quality. 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, (Teoh and Case 2004). 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 key characteristic (KC) approach. An information modelling for FMEA is proposed to facilitate the later reuse of the knowledge collected during an FMEA, and then it is integrated with the KC model. The models are represented in the class diagrams in the format of unified modelling language, (Booch, Rumbaugh and Jacobson 1999). The FMEA–KC model allows for management of KCs, reusing the knowledge about causalities and relations between KCs, and validation of design robustness using FMEA knowledge.

Suggested Citation

  • Alaa Hassan & Jean-Yves Dantan & Ali Siadat, 2007. "Information modelling for variation risk management during product and process design," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 2(2), pages 221-240.
    • Handle: RePEc:ids:ijpqma:v:2:y:2007:i:2:p:221-240
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