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

Author

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  • Priyank Srivastava

    (Amity University)

  • Dinesh Khanduja

    (National Institute of Technology)

  • Subramaniam Ganesan

    (Oakland University)

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.

Suggested Citation

  • Priyank Srivastava & Dinesh Khanduja & Subramaniam Ganesan, 2020. "Fuzzy methodology application for risk analysis of mechanical system in process industry," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 297-312, April.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:2:d:10.1007_s13198-019-00857-y
    DOI: 10.1007/s13198-019-00857-y
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    References listed on IDEAS

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    1. Eti, M.C. & Ogaji, S.O.T. & Probert, S.D., 2006. "Reducing the cost of preventive maintenance (PM) through adopting a proactive reliability-focused culture," Applied Energy, Elsevier, vol. 83(11), pages 1235-1248, November.
    2. Priyank Srivastava & Dinesh Khanduja & Vishnu P. Agrawal, 2018. "Integrating agile thinking into maintenance strategy performance analysis," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 8(2), pages 228-245.
    3. Anil Kumar & Edmundas Kazimieras Zavadskas & Sachin Kumar Mangla & Varun Agrawal & Kartik Sharma & Divyanshu Gupta, 2019. "When risks need attention: adoption of green supply chain initiatives in the pharmaceutical industry," International Journal of Production Research, Taylor & Francis Journals, vol. 57(11), pages 3554-3576, June.
    4. Dilbagh Panchal & Priyank Srivastava, 2019. "Qualitative analysis of CNG dispensing system using fuzzy FMEA–GRA integrated approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 44-56, February.
    5. R. Amuthakkannan & S.M. Kannan & V. Selladurai & K. Vijayalakshmi, 2008. "Software quality measurement and improvement for real-time systems using quality tools and techniques: a case study," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 3(2), pages 229-256.
    6. Olson, David L. & Wu, Desheng, 2006. "Simulation of fuzzy multiattribute models for grey relationships," European Journal of Operational Research, Elsevier, vol. 175(1), pages 111-120, November.
    7. Sachin Kumar Mangla & Pradeep Kumar & Mukesh Kumar Barua, 2016. "An integrated methodology of FTA and fuzzy AHP for risk assessment in green supply chain," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 25(1), pages 77-99.
    8. Wang, Ling & Chu, Jian & Wu, Jun, 2007. "Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 107(1), pages 151-163, May.
    9. Dilbagh Panchal & Dinesh Kumar, 2017. "Risk analysis of compressor house unit in thermal power plant using integrated fuzzy FMEA and GRA approach," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 25(2), pages 228-250.
    10. M. Ilangkumaran & P. Shanmugam & G. Sakthivel & K. Visagavel, 2014. "Failure mode and effect analysis using fuzzy analytic hierarchy process," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 14(3), pages 296-313.
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    Cited by:

    1. James J. H. Liou & Perry C. Y. Liu & Huai-Wei Lo, 2020. "A Failure Mode Assessment Model Based on Neutrosophic Logic for Switched-Mode Power Supply Risk Analysis," Mathematics, MDPI, vol. 8(12), pages 1-19, December.

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