International Journal of Industrial Engineering and Management

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Vol. 3 No. 3 (2012)
Original Research Article

Reliability Assessment of Manufacturing Processes

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  • Tatyana Karaulova,
  • Marina Kostina,
  • Eduard Shevtshenko
Tatyana Karaulova Tallinn University of Technology, Department of Machinery

Bio
Marina Kostina Tallinn University of Technology, Department of Machinery

Bio
Eduard Shevtshenko Tallinn University of Technology, Department of Machinery

Bio

Published 2012-09-30

Keywords

  • Bayesian Belief Network (BBN),
  • Failure Mode and Effect Analysis (FMEA),
  • Process reliability

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Abstract

Reliability of production processes is a key issue that ensures the stability of production system operation. It improves product quality and reduces production losses. In current paper, we introduce a framework for the fault analysis of production process, which provides the recommendations of corrective actions for the elimination of critical faults for machinery manufacturing. The central part of the proposed framework is an extension of the standard Failure Mode and Effect Analysis (FMEA) with a fault classifier and the estimation of FMEA parameters. The Bayesian Belief Network (BBN) is used to classify FMEA faults. In order to fit the analysis the BBN template duplicates the faults classifier structure.

 

Article history: Received (31 May 2012); Revised (12 September 2012); Accepted (21 September 2012)  

FULL TEXT ARTICLE (PDF)