Reduction of production risks by improving the method of failure mode and effect analysis

Zh. A. Dayev () and Ye. T. Nurushev ()
Additional contact information
Zh. A. Dayev: Baishev University
Ye. T. Nurushev: Saint-Petersburg State University of Aerospace Instrumentation

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 1, No 19, 278-288

Abstract: Abstract The article is devoted to the possible improvement of the method of failure mode and effect analysis, which is widely used to assess production risks during the construction of instrument safety systems. The main problem of this method is the collective assessment of risks by various experts, but experience shows that in order to obtain more reliable results, it is necessary to carry out an additional assessment of expert opinions, and make a final decision. Therefore, this paper proposes the use of a combined approach to the method of failure mode and effect analysis (FMEA) and statistical methods. The paper shows a combination of FMEA and Shewhart control charts as a method of assessing production risks. The validity of the combined method is shown. Recommendations are given for calculation of control limits for Shewhart charts. The proposed combined approach can be extended to many industries to assess and mitigate risks. The article deals with the issues related to the improvement of the FMEA method to eliminate human errors.

Keywords: Control; FMEA; Shewhart chards; Risk; Failure (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-021-01229-1 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:13:y:2022:i:1:d:10.1007_s13198-021-01229-1

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

DOI: 10.1007/s13198-021-01229-1

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 ().