Fuzzy Logic in Risk Assessment of Production Machines Failure in Forming and Assembly Processes
 
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1
Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Poland
 
2
Department of Industrial Engineering and Informatics, Technical University of Košice, Slovak Republic
 
 
Submission date: 2024-05-14
 
 
Final revision date: 2024-06-03
 
 
Acceptance date: 2024-06-04
 
 
Online publication date: 2024-06-07
 
 
Publication date: 2024-06-10
 
 
Corresponding author
Anna Burduk   

Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Poland
 
 
 
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ABSTRACT
The article presents the application of fuzzy logic to risk assessment in assembly and forming production processes. The fuzzy FMEA method was used, enabling the assessment of risk parameters based on expert opinions. This resulted in the development of a system that allows for greater flexibility and increased resistance to errors associated with human factors, enabling risk assessment through the use of linguistic variables. This allows organisations to analyse and manage risk, improving the efficiency and safety of their operations. This article presents an analysis of the benefits of using fuzzy logic in risk assessment in production in conjunction with the FMEA method, which is one of the most widely used risk assessment methods in industry. It discusses how fuzzy logic can help capture uncertainties in production processes and provide a more flexible framework for their evaluation. A case study is also presented, in which fuzzy logic was applied to risk assessment, highlighting the benefits it brings to production efficiency and safety.
 
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ISSN:1895-7595
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