IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v10y2019i1d10.1007_s13198-018-0750-9.html
   My bibliography  Save this article

Qualitative analysis of CNG dispensing system using fuzzy FMEA–GRA integrated approach

Author

Listed:
  • Dilbagh Panchal

    (Dr. B.R Ambedkar National Institute of Technology)

  • Priyank Srivastava

    (Amity University)

Abstract

This research work reviews different risk analysis approach and expounds the application of fuzzy integrated multi criteria decision making framework for qualitative analysis of compressed natural gas dispensing system. Qualitative analysis of system is its risk identification and prioritization. This analysis is done by exemplifying integrated approach of failure mode and effect analysis (FMEA), fuzzy FMEA and fuzzy grey relational analysis (GRA) respectively. The conventional FMEA prioritizes risk on the basis of risk priority number (RPN). The uncertainty issue from analysis has been removed by integrating fuzzy methodology with conventional technique. The rule base in fuzzy inference system is used for calculating fuzzy RPN. The effect of weightage of each variable has been considered in fuzzy GRA for risk prioritization. A total of 43 risks have been identified and seven are assessed critical to system. The regulator malfunction of metering skid, internal leakage of compressor, motherboard failure of dispenser, internal pipe leakage and air filter choking of priority panel and plug leakage of cascade have been identified as critical risk in present study. This outcome of the proposed framework will act as decision support system for the system analyst and maintenance engineer to identify and prioritize risk, subsequently assisting them for better maintenance planning.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:1:d:10.1007_s13198-018-0750-9
    DOI: 10.1007/s13198-018-0750-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-018-0750-9
    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/s13198-018-0750-9?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. 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.
    2. 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.
    3. D. E. Ighravwe & S. A. Oke, 2017. "A fuzzy-grey-weighted aggregate sum product assessment methodical approach for multi-criteria analysis of maintenance performance systems," 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 961-973, November.
    4. 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.
    5. 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.
    6. 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. 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.
    2. Mehdi Salimi & Mahboubeh Khodaparast, 2019. "Providing a combined model of fuzzy AHP and numerical taxonomy analysis for sport organizational ranking and performance appraisal," 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(5), pages 1133-1144, October.
    3. 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.
    4. 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.

    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. 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.
    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. 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.
    4. Alsyouf, Imad, 2009. "Maintenance practices in Swedish industries: Survey results," International Journal of Production Economics, Elsevier, vol. 121(1), pages 212-223, September.
    5. María Carmen Carnero, 2020. "Waste Segregation FMEA Model Integrating Intuitionistic Fuzzy Set and the PAPRIKA Method," Mathematics, MDPI, vol. 8(8), pages 1-29, August.
    6. Ehsan Khanmohammadi & Maryam Azizi & HamidReza Talaie & Fatih Ecer & Erfan Babaee Tirkolaee, 2024. "A novel hybrid decision-making framework based on modified fuzzy analytic network process and fuzzy best–worst method," Operational Research, Springer, vol. 24(4), pages 1-32, December.
    7. Raman Kumar Goyal & Sakshi Kaushal, 2018. "Deriving crisp and consistent priorities for fuzzy AHP-based multicriteria systems using non-linear constrained optimization," Fuzzy Optimization and Decision Making, Springer, vol. 17(2), pages 195-209, June.
    8. Remigiusz Gawlik & Dominika Siwiec & Andrzej Pacana, 2024. "Quality–Cost–Environment Assessment of Sustainable Manufacturing of Photovoltaic Panels," Energies, MDPI, vol. 17(7), pages 1-17, March.
    9. Mohsen Mostafa & Nishtman Hatami & Kambiz Espahbodi & Farhad Asadi, 2022. "Fuzzy Analytic Hierarchy Process (FAHP) applied to evaluating the forest management approaches," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 68(7), pages 263-276.
    10. Chen, Chun-Chih & Chuang, Ming-Chuen, 2008. "Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design," International Journal of Production Economics, Elsevier, vol. 114(2), pages 667-681, August.
    11. Dominika Siwiec & Andrzej Pacana, 2021. "Model Supporting Development Decisions by Considering Qualitative–Environmental Aspects," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    12. Fatih Tüysüz, 2018. "Simulated Hesitant Fuzzy Linguistic Term Sets-Based Approach for Modeling Uncertainty in AHP Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 801-817, May.
    13. 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.
    14. Day-Yang Liu & Wen-Chun Tsai & Chung-Yi Fang & Pei-Leen Liu, 2019. "Determinants of Managerial Performance on Taiwan Sports Lottery in System Dynamics Modeling of Strategic Management Approach," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(5), pages 1-10.
    15. 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.
    16. R. Jaiswal & Narayan Ghosh & A. Lohani & T. Thomas, 2015. "Fuzzy AHP Based Multi Crteria Decision Support for Watershed Prioritization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4205-4227, September.
    17. María Carmen Carnero & Andrés Gómez, 2018. "Optimization of Maintenance in Production and Storage Systems for Domestic Water," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(1), pages 359-380, January.
    18. 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.
    19. Néstor Rodríguez-Padial & Marta Marín & Rosario Domingo, 2017. "An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning," Complexity, Hindawi, vol. 2017, pages 1-15, October.
    20. Dominika Siwiec & Andrzej Pacana & Andrzej Gazda, 2023. "A New QFD-CE Method for Considering the Concept of Sustainable Development and Circular Economy," Energies, MDPI, vol. 16(5), pages 1-21, March.

    More about this item

    Keywords

    FMEA; FIS; Fuzzy FMEA; Fuzzy GRA; CNG;
    All these keywords.

    Statistics

    Access and download statistics

    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:10:y:2019:i:1:d:10.1007_s13198-018-0750-9. 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.