IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v11y2020i2d10.1007_s13198-019-00857-y.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-019-00857-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-019-00857-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Priyank Srivastava & Dinesh Khanduja & V. P. Agrawal, 2020. "Agile maintenance attribute coding and evaluation based decision making in sugar manufacturing plant," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 553-583, June.
    3. Puppala, Harish & K Jha, Shibani & Singh, Ajit Pratap & Madurai Elavarasan, Rajvikram & Elia Campana, Pietro, 2022. "Identification and analysis of barriers for harnessing geothermal energy in India," Renewable Energy, Elsevier, vol. 186(C), pages 327-340.
    4. Mehdi Allahdadi & Aida Batamiz, 2021. "Generation of some methods for solving interval multi-objective linear programming models," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 1077-1115, December.
    5. Dilbagh Panchal & Dinesh Kumar, 2017. "Stochastic behaviour analysis of real industrial system," 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. 8(2), pages 1126-1142, November.
    6. Rohit Agrawal & Vishal A. Wankhede & Anil Kumar & Sunil Luthra, 2021. "Analysing the roadblocks of circular economy adoption in the automobile sector: Reducing waste and environmental perspectives," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1051-1066, February.
    7. Benyou Jia & Slobodan P. Simonovic & Pingan Zhong & Zhongbo Yu, 2016. "A Multi-Objective Best Compromise Decision Model for Real-Time Flood Mitigation Operations of Multi-Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3363-3387, August.
    8. 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.
    9. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    10. Al-Husain, Raed & Khorramshahgol, Reza, 2020. "Incorporating analytical hierarchy process and goal programming to design responsive and efficient supply chains," Operations Research Perspectives, Elsevier, vol. 7(C).
    11. Vijay Pereira & Umesh Bamel, 2023. "Charting the managerial and theoretical evolutionary path of AHP using thematic and systematic review: a decadal (2012–2021) study," Annals of Operations Research, Springer, vol. 326(2), pages 635-651, July.
    12. Sainath G. Bidikar & Santosh B. Rane & Prathamesh R. Potdar, 2022. "Product development using Design for Six Sigma approach: case study in switchgear 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. 13(1), pages 203-230, February.
    13. Faccio, M. & Persona, A. & Sgarbossa, F. & Zanin, G., 2014. "Industrial maintenance policy development: A quantitative framework," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 85-93.
    14. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    15. repec:jle:journl:132 is not listed on IDEAS
    16. Lucia Reis Peixoto Roselli & Adiel Teixeira Almeida & Eduarda Asfora Frej, 2019. "Decision neuroscience for improving data visualization of decision support in the FITradeoff method," Operational Research, Springer, vol. 19(4), pages 933-953, December.
    17. Feroz Khan & Yousaf Ali, 2022. "Implementation of the circular supply chain management in the pharmaceutical industry," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13705-13731, December.
    18. María Carmen Carnero, 2020. "Fuzzy Multicriteria Models for Decision Making in Gamification," Mathematics, MDPI, vol. 8(5), pages 1-23, May.
    19. Saeed Nosratabadi & Gergo Pinter & Amir Mosavi & Sandor Semperger, 2020. "Sustainable Banking; Evaluation of the European Business Models," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    20. Zeinab Sazvar & Mahsa Zokaee & Reza Tavakkoli-Moghaddam & Samira Al-sadat Salari & Sina Nayeri, 2022. "Designing a sustainable closed-loop pharmaceutical supply chain in a competitive market considering demand uncertainty, manufacturer’s brand and waste management," Annals of Operations Research, Springer, vol. 315(2), pages 2057-2088, August.
    21. Sahebi, Iman Ghasemian & Mosayebi, Alireza & Masoomi, Behzad & Marandi, Fatemeh, 2022. "Modeling the enablers for blockchain technology adoption in renewable energy supply chain," Technology in Society, Elsevier, vol. 68(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:11:y:2020:i:2:d:10.1007_s13198-019-00857-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.