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

Priyank Srivastava (), Dinesh Khanduja () and Subramaniam Ganesan ()
Additional contact information
Priyank Srivastava: Amity University
Dinesh Khanduja: National Institute of Technology
Subramaniam Ganesan: Oakland University

International Journal of System Assurance Engineering and Management, 2020, vol. 11, issue 2, No 5, 297-312

Abstract: 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.

Keywords: FMEA; Fuzzy FMEA; Fuzzy inference system; Grey relation analysis (GRA) (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-019-00857-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:11:y:2020:i:2:d:10.1007_s13198-019-00857-y

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-019-00857-y

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().