Exploring the Ordinal Classifications of Failure Modes in the Reliability Management: An Optimization-Based Consensus Model with Bounded Confidences

Jing Xiao (), Xiuli Wang () and Hengjie Zhang ()
Additional contact information
Jing Xiao: Nanjing University of Science and Technology
Xiuli Wang: Nanjing University of Science and Technology
Hengjie Zhang: Hohai University

Group Decision and Negotiation, 2022, vol. 31, issue 1, No 4, 49-80

Abstract: Abstract Failure mode and effect analysis (FMEA) is a system activity that identifies, evaluates and eliminates potential failure modes (FMs) in a system/process to enhance the quality and reliability of a product. In order to improve the implementation efficiency of FMEA, this study proposes a consensus-based FMEA method to derive the ordinal classifications of FMs, in which the FMEA team members employ linguistic distribution to convey their preferences. In the proposed FMEA method, a multi-stage consensus optimization model with bounded confidences is designed to help the FMEA team reach a consensus. In the consensus reaching process, a maximum consensus optimization model based on bounded confidences is provided to obtain the adjustment suggestions by maximizing the level of consensus among the FMEA team. If the predetermined level of consensus cannot be reached, the adjustment suggestions obtained by the maximum consensus optimization model are adopted to guide the preference-modification of the FMEA team members. Otherwise, a two-stage consensus optimization model based on bounded confidences is designed to derive the adjustment suggestions for the preference-modification of the FMEA team members. Finally, a case study of marine diesel engine crankcase explosion, a sensitivity analysis and a comparative analysis are proposed to illustrate the feasibility and effectiveness of the proposed FMEA method.

Keywords: Failure mode and effect analysis; Ordinal classification; Linguistic distribution; Consensus model; Bounded confidences (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s10726-021-09756-9 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:grdene:v:31:y:2022:i:1:d:10.1007_s10726-021-09756-9

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10726/PS2

DOI: 10.1007/s10726-021-09756-9

Access Statistics for this article

Group Decision and Negotiation is currently edited by Gregory E. Kersten

More articles in Group Decision and Negotiation from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().