International Journal of Industrial Engineering and Management

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

Reliability Assessment of Manufacturing Processes

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

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Keywords

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

How to Cite

Karaulova, T., Kostina, M., & Shevtshenko, E. (2012). Reliability Assessment of Manufacturing Processes. International Journal of Industrial Engineering and Management, 3(3), 143–151. https://doi.org/10.24867/IJIEM-2012-3-118

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)  

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