Optimization of PFMEA Team Composition in the Automotive Industry Using the IPF-RADAR Approach

In the automotive industry, the implementation of Process Failure Mode and Effect Analysis (PFMEA) is conducted by a PFMEA team comprising employees who are connected to the production process or a specific product. Core PFMEA team members are actively engaged in PFMEA execution through meetings, an...

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Bibliographic Details
Published inAlgorithms Vol. 18; no. 6; p. 342
Main Authors Komatina, Nikola, Marinković, Dragan
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2025
Subjects
Automobile industry
automotive industry
Automotive supplies
Candidates
Case studies
Collaboration
Composition
Decision making
Failure analysis
Failure modes
Fuzzy sets
Handbooks
IVPFNs
Knowledge management
Literature reviews
Managers
Optimization
Personnel selection
PFMEA
PFMEA team
RADAR
Radar systems
Ranking
Suppliers
Supply chains
Teams
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Summary:In the automotive industry, the implementation of Process Failure Mode and Effect Analysis (PFMEA) is conducted by a PFMEA team comprising employees who are connected to the production process or a specific product. Core PFMEA team members are actively engaged in PFMEA execution through meetings, analysis, and the implementation of corrective actions. Although the current handbook provides guidelines on the potential composition of the PFMEA team, it does not strictly define its members, allowing companies the flexibility to determine the team structure independently. This study aims to identify the core PFMEA team members by adhering to criteria based on the recommended knowledge and competencies outlined in the current handbook. By applying the RAnking based on the Distances and Range (RADAR) approach, extended with Interval-Valued Pythagorean Fuzzy Numbers (IVPFNs), a ranking of potential candidates was conducted. A case study was performed in a Tier-1 supplier company within the automotive supply chain.
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ISSN:1999-4893
1999-4893
DOI:10.3390/a18060342