Modified Fuzzy FMEA Application in the Reduction of Defective Poultry Products

Authors

  • Pinnarat Nuchpho King Mongkut’s University of Technology Thonburi
  • Santirat Nansaarng King Mongkut’s University of Technology Thonburi
  • Adisak Pongpullponsak King Mongkut’s University of Technology Thonburi

DOI:

https://doi.org/10.4186/ej.2019.23.1.171

Abstract

Failure mode and effects analysis (FMEA) consists of the famous qualitative management methods used for improvements in management processes. This paper aims to determine the factors of defective products in the processing of poultry products in the industry. The causes of problems have been analyzed by systematic brainstorming of specialist consensus in the evaluation of problems to achieve unanimity on the violence level. The FMEA method uses the risk priority number (RPN), which indicates the priorities of risk problems and can evaluate three components: severity, occurrence and detection. Sometimes, this risk assessment leads to the wrong priorities. Therefore, we propose fuzzy FMEA methods for priority ranking of RPN and efficiently reducing poultry product defects, which are established based on fuzzy systems followed by comparison with conventional FMEA. The results indicate that the fuzzy FMEA method can efficiently and feasibly reduce poultry product defects.

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Author Biographies

Pinnarat Nuchpho

Division of Learning Innovation and Technology, Faculty of Industrial Education, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand

Santirat Nansaarng

Department of Production Technology Education, Faculty of Industrial Education, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand

Adisak Pongpullponsak

Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand

Published

Vol 23 No 1, Jan 31, 2019

How to Cite

[1]
P. Nuchpho, S. Nansaarng, and A. Pongpullponsak, “Modified Fuzzy FMEA Application in the Reduction of Defective Poultry Products”, Eng. J., vol. 23, no. 1, pp. 171-190, Jan. 2019.