Fuzzy Logic Based Approach for Analysis and Synthesis of Failure Modes

Authors

  • Rajat Joshi Department of Electronics and Communication Engineering, Adesh Institute of Technology, (Affiliated to Punjab Technical University), Mohali, Gharuan, Punjab, India.
  • Malkhan . Department of Electronics and Communication Engineering, Adesh Institute of Technology, (Affiliated to Punjab Technical University), Mohali, Gharuan, Punjab, India.

Keywords:

Failure Analysis, Failure Management, Potential Failure Detection, Production Insecurities, Design Failures, Failure Identification

Abstract

Failure analysis and management has been gaining a lot of importance for the last few years. Failure mode and effect analysis is the process used for failure analysis and risk management in judging various businesses and managements. The FMEA is the methodology extensively used in different sectors to detect, prioritize and investigate the potential failures which occur during the production or design of the product. This whole process is computed with the Risk Priority Number (RPN). The blurriness and uncertainty in the FMEA associated with the human expertise and experience is responded using Fuzzy Logic based approach. In today’s time, organizations mainly focus on improving the quality of their product and building the reputation of their organizations. So, they consider every aspect of failure which can occur during the production. So, they use the FMEA team to overcome these issues before their existence. This paper is based on the approach of FMEA methodology and Fuzzy logic which describes multiple risks, insecurities associated with the different production processes and gives the solution to overcome the possible failures. FMEA is a methodology which suggests that such type of failures could occur during the design of the product or the production of the product.

How to cite this article: Malkhan, Joshi R. Fuzzy Logic Based Approach for Analysis and Synthesis of Failure Modes. J Adv Res Prod Ind Engg 2021; 8(1&2): 18-22.

DOI: https://doi.org/10.24321/2456.429X.202102

 

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Published

2021-09-08