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Fuzzy methodology application for risk analysis of mechanical system in process industry

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Abstract

This research work reviews and expounds application of fuzzy methodology based integrated approach for risk analysis of milling system in Sugar Plant. As sugar plant is a complex process system, therefore, its effective maintenance planning without proper risk identification and prioritization is a major issue. In this research work, conventional FMEA approach was used for prioritizing critical components based on risk priority number (RPN). To remove limitations of conventional FMEA, fuzzy decision support system and fuzzy grey relation analysis were used for estimating RPN scores. These scores were compared with conventional RPN scores for realistic prioritization and decision making. From analysis, twenty-four (24) causes of failures were identified for milling system of sugar plant. Out of those, fourteen (14) causes of failure were found critical to the system. The excessive cyclic loading on shaft, impact loading on tear rod, improper lubrication, foreign particle inclusions, insufficient gaps and pressure between rollers, loose fittings and couplings, wear and tear of nut and bolt were some of the causes of failures with high prioritization. As immediate attention was required, these results were forwarded to the system analyst and management of sugar industry for intelligent and effective maintenance planning and implementation.

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Abbreviations

FMEA:

Failure mode and effect analysis

FRPN:

Fuzzy risk priority number

FIS:

Fuzzy inference system

CE:

Concurrent engineering

RPN:

Risk priority number

GRA:

Grey relational analysis

TCD:

Tons of cane per day

TFN:

Triangular fuzzy number

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Acknowledgements

The authors are grateful and thankful to anonymous reviewer who have invested their precious time for reviewing the manuscript and have given valuable comments for the modification of the paper.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Amity University, Noida, India

    Priyank Srivastava

  2. Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, India

    Dinesh Khanduja

  3. Electrical and Computer Engineering, Oakland University, Rochester, MI, 48309, USA

    Subramaniam Ganesan

Authors
  1. Priyank Srivastava
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  2. Dinesh Khanduja
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  3. Subramaniam Ganesan
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Correspondence to Priyank Srivastava.

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Srivastava, P., Khanduja, D. & Ganesan, S. Fuzzy methodology application for risk analysis of mechanical system in process industry. Int J Syst Assur Eng Manag 11, 297–312 (2020). https://doi.org/10.1007/s13198-019-00857-y

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  • DOI: https://doi.org/10.1007/s13198-019-00857-y

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