The analysis of production system reliability and level of risk often requires the use of subjective judgements and/or uncertain data. This paper presents a decision-making support system for failure mode and effect and criticality analysis. To help the maintenance staff to formulate effective criticality assessments of the possible modes of failure, the fuzzy logic technique is adopted. The analytical hierarchy process (AHP) is used for obtaining the rules for the fuzzy model. Another characteristic of the model is the use of a triangular approach as crisp inputs in fuzzy models to evaluate the different opinions of the maintenance staff. To test the proposed methodology, an application is described at an Italian refrigerator manufacturing company.
Fuzzy modelling and analytical hierarchy processing as a means of quantifying risk levels associated with failure modes in production systems
Reprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.