{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T17:39:50Z","timestamp":1781804390485,"version":"3.54.5"},"reference-count":52,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T00:00:00Z","timestamp":1748995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/a18060342","type":"journal-article","created":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T10:10:16Z","timestamp":1749031816000},"page":"342","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Optimization of PFMEA Team Composition in the Automotive Industry Using the IPF-RADAR Approach"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6964-5673","authenticated-orcid":false,"given":"Nikola","family":"Komatina","sequence":"first","affiliation":[{"name":"Faculty of Engineering, University of Kragujevac, Sestre Janji\u0107 6, 34000 Kragujevac, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3583-9434","authenticated-orcid":false,"given":"Dragan","family":"Marinkovi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Mechanical Engineering and Transport Systems, Technical University Berlin, 10623 Berlin, Germany"},{"name":"Mechanical Science Institute, Vilnius Gediminas Technical University-VILNIUS TECH, Plytin\u0117s st. 25, LT-10105 Vilnius, Lithuania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,6,4]]},"reference":[{"key":"ref_1","unstructured":"(2017). Quality Management System Requirements for Automotive Production and Relevant Service Parts Organizations, 1st Edition. Standard No. IATF 16949:2016."},{"key":"ref_2","unstructured":"AIAG, and VDA (2019). AIAG&VDA Failure Mode and Effects Analysis\u2013FMEA Handbook: Design FMEA, Process FMEA, Supplemental FMEA for Monitoring & System Response, Automotive Industry Action Group."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"111","DOI":"10.31181\/smeor11202411","article-title":"Use of the Simple Multicriteria Decision-Making (MCDM) Method for Optimization of the High-Alloy Steel Cutting Processby the Abrasive Water Jet","volume":"1","author":"Kawecka","year":"2024","journal-title":"Spectr. Mech. Eng. Oper. Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2345","DOI":"10.1007\/s00170-020-05110-6","article-title":"Selection of Suitable Additive Manufacturing Machine and Materials through Best\u2013Worst Method (BWM)","volume":"107","author":"Palanisamy","year":"2020","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_5","first-page":"235","article-title":"Selection of Forklift Unit for Transport Handling Using Integrated MCDM under Neutrosophic Environment","volume":"22","author":"Chakraborty","year":"2024","journal-title":"Facta Univ. Ser. Mech. Eng."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"42","DOI":"10.31181\/dmame812025984","article-title":"Risk Assessment Framework for Reverse Logistics in Waste Plastic Recycle Industry: A Hybrid Approach Incorporating FMEA Decision Model with AHP-LOPCOW-ARAS Under Trapezoidal Fuzzy Set","volume":"8","author":"Sumrit","year":"2025","journal-title":"Decis. Mak. Appl. Manag. Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.31181\/smeor21202524","article-title":"Comparative Sensitivity Analysis in Composite Material Selection: Evaluating OAT and COMSAM Methods in Multi-Criteria Decision-Making","volume":"2","year":"2025","journal-title":"Spectr. Mech. Eng. Oper. Res."},{"key":"ref_8","unstructured":"Rezaei, J., Brunelli, M., and Mohammadi, M. (2022). A Multi-Attribute Decision-Making to Sustainable Construction Material Selection: A Bayesian BWM-SAW Hybrid Model. Advances in Best-Worst Method, Springer International Publishing."},{"key":"ref_9","unstructured":"Kushwaha, D.K., Panchal, D., and Sachdeva, A. (2023). A Modified FMEA Approach Based Integrated Decision Framework for Overcoming the Problems of Sudden Failure and Accidental Hazards in Turbine and Alternator Unit. Facta Univ. Ser. Mech. Eng., online first."},{"key":"ref_10","first-page":"31","article-title":"Environmental Risk Assessment Using FMEA and Entropy Based on TOPSIS Method: A Case Study Oil Wells Drilling","volume":"2","author":"KhodadadiKarimvand","year":"2022","journal-title":"Big Data Comput. Vis."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/s12559-025-10437-x","article-title":"Single-Valued Neutrosophic Distance Measure-Based MEREC-RANCOM-WISP for Solving Sustainable Energy Storage Technology Problem","volume":"17","author":"Mishra","year":"2025","journal-title":"Cogn. Comput."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Alshamrani, A., Majumder, P., Das, A., Hezam, I.M., and Bo\u017eani\u0107, D. (2023). An Integrated BWM-TOPSIS-I Approach to Determine the Ranking of Alternatives and Application of Sustainability Analysis of Renewable Energy. Axioms, 12.","DOI":"10.3390\/axioms12020159"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1007\/s10479-022-04878-y","article-title":"Supplier Selection to Support Environmental Sustainability: The Stratified BWM TOPSIS Method","volume":"322","author":"Asadabadi","year":"2023","journal-title":"Ann. Oper. Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s12351-020-00552-y","article-title":"Multi-Criteria Decision Making for Green Supplier Selection Using Interval Type-2 Fuzzy AHP: A Case Study of a Home Appliance Manufacturer","volume":"22","author":"Ecer","year":"2022","journal-title":"Oper. Res. Int. J."},{"key":"ref_15","first-page":"1066","article-title":"A Fuzzy Decision-Making Approach to Electric Vehicle Evaluation and Ranking","volume":"4","author":"Komatina","year":"2025","journal-title":"Teh. Vjesn.\/Tech. Gaz."},{"key":"ref_16","first-page":"643","article-title":"Selection of Data Conversion Technique via Sensitivity-Performance Matching: Ranking of Small E-Vans with PROBID Method","volume":"22","author":"Ayhan","year":"2024","journal-title":"Facta Univ. Ser. Mech. Eng."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"73","DOI":"10.30656\/jsmi.v8i2.9283","article-title":"A Compromise-Based MADM Approach for Prioritizing Failures: Integrating the RADAR Method within the FMEA Framework","volume":"8","author":"Komatina","year":"2024","journal-title":"J. Sist. Man. Industr."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"104","DOI":"10.31181\/smeor21202531","article-title":"A Novel BWM-RADAR Approach for Multi-Attribute Selection of Equipment in the Automotive Industry","volume":"2","author":"Komatina","year":"2025","journal-title":"Spectr. Mech. Eng. Oper. Res."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Chen, C.-T., and Hung, W.-Z. (2020). A Two-Phase Model for Personnel Selection Based on Multi-Type Fuzzy Information. Mathematics, 8.","DOI":"10.3390\/math8101703"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Hwang, C.L., and Yoon, K. (1981). Methods for Multiple Attribute Decision Making. Multiple Attribute Decision Making: Methods and Applications a State-of-the-Art Survey, Springer.","DOI":"10.1007\/978-3-642-48318-9_3"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/0377-2217(86)90044-5","article-title":"How to Select and How to Rank Projects: The Promethee Method","volume":"24","author":"Brans","year":"1986","journal-title":"Eur. J. Oper. Res."},{"key":"ref_22","first-page":"55","article-title":"Multi-Criteria IT Personnel Selection on Intuitionistic Fuzzy Information Measures and ARAS Methodology","volume":"17","author":"Mishra","year":"2020","journal-title":"Iran. J. Fuzzy Syst."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"159","DOI":"10.3846\/tede.2010.10","article-title":"A New Additive Ratio Assessment (ARAS) Method in Multicriteria Decision-making","volume":"16","author":"Zavadskas","year":"2010","journal-title":"Technol. Econ. Dev. Econ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1007\/s00500-019-03943-2","article-title":"A Novel Extension to VIKOR Method under Intuitionistic Fuzzy Context for Solving Personnel Selection Problem","volume":"24","author":"Krishankumar","year":"2020","journal-title":"Soft Comput."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/j.ejor.2006.01.020","article-title":"Extended VIKOR Method in Comparison with Outranking Methods","volume":"178","author":"Opricovic","year":"2007","journal-title":"Eur. J. Oper. Res."},{"key":"ref_26","first-page":"373","article-title":"A Spherical Fuzzy Framework for Sales Personnel Selection","volume":"3","author":"Biswas","year":"2022","journal-title":"J. Comput. Cogn. Eng."},{"key":"ref_27","first-page":"2972","article-title":"An Integrated Fuzzy QFD-MCDM Framework for Personnel Selection Problem","volume":"28","author":"Ozgormus","year":"2021","journal-title":"Sci. Iran."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3476","DOI":"10.19026\/rjaset.5.4475","article-title":"Decision-Making Trial and Evaluation Laboratory","volume":"5","author":"Falatoonitoosi","year":"2013","journal-title":"RJASET"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/S0167-6911(82)80025-X","article-title":"Control Problems of Grey Systems","volume":"1","year":"1982","journal-title":"Syst. Control Lett."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"751","DOI":"10.3846\/tede.2020.12366","article-title":"A Data-Driven MADM Model Ofr Personnel Selection and Improvement","volume":"26","author":"Chuang","year":"2020","journal-title":"Technol. Econ. Dev. Econ."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Dumni\u0107, S., Mostarac, K., Ninovi\u0107, M., Jovanovi\u0107, B., and Buhmiler, S. (2022). Application of the Choquet Integral: A Case Study on a Personnel Selection Problem. Sustainability, 14.","DOI":"10.3390\/su14095120"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"113360","DOI":"10.1016\/j.dss.2020.113360","article-title":"An Integrated Decision Analysis Methodology Based on IF-DEMATEL and IF-ELECTRE for Personnel Selection","volume":"137","author":"Kilic","year":"2020","journal-title":"Decis. Support Syst."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"231","DOI":"10.12700\/APH.20.3.2023.3.14","article-title":"Application of the FUCOM-FUZZY MAIRCA Model in Human Resource Management","volume":"20","year":"2023","journal-title":"Acta Polytech. Hung."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1007\/s40747-020-00221-9","article-title":"Interval-Valued Pythagorean Fuzzy AHP Method-Based Supply Chain Performance Evaluation by a New Extension of SCOR Model: SCOR 4.0","volume":"7","author":"Ayyildiz","year":"2021","journal-title":"Complex Intell. Syst."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Rahimi, M., Kumar, P., Moazzamigodarzi, M., and Mishra, A.R. (2022). Digital Transformation Challenges in Sustainable Financial Service Systems Using Novel Interval-Valued Pythagorean Fuzzy Double Normalization-Based Multiple Aggregation Approach. Environ. Dev. Sustain., 1\u201333.","DOI":"10.1007\/s10668-022-02719-3"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Mishra, A.R., Pamu\u010dar, D., Hezam, I.M., Chakrabortty, R.K., Rani, P., Bo\u017eani\u0107, D., and \u0106irovi\u0107, G. (2022). Interval-Valued Pythagorean Fuzzy Similarity Measure-Based Complex Proportional Assessment Method for Waste-to-Energy Technology Selection. Processes, 10.","DOI":"10.3390\/pr10051015"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Wei, G., Tang, Y., Zhao, M., Lin, R., and Wu, J. (2020). Selecting the Low-Carbon Tourism Destination: Based on Pythagorean Fuzzy Taxonomy Method. Mathematics, 8.","DOI":"10.3390\/math8050832"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3541","DOI":"10.1007\/s13042-021-01403-8","article-title":"A New Multi-Period Optimization Model for Resilient-Sustainable Project Portfolio Evaluation under Interval-Valued Pythagorean Fuzzy Sets with a Case Study","volume":"12","author":"Mohagheghi","year":"2021","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"63","DOI":"10.31181\/sor31202635","article-title":"Fundamental Characteristics and Applicability of the RADAR Method: Proof of Ranking Consistency","volume":"3","author":"Komatina","year":"2026","journal-title":"Spectr. Oper. Res."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Sa\u0142abun, W., and Urbaniak, K. (2020, January 3\u20135). A New Coefficient of Rankings Similarity in Decision-Making Problems. Proceedings of the Computational Science\u2013ICCS 2020: 20th International Conference, Amsterdam, The Netherlands.","DOI":"10.1007\/978-3-030-50417-5_47"},{"key":"ref_41","unstructured":"Komatina, N., Marinkovi\u0107, D., Tadi\u0107, D., and Pamu\u010dar, D. (2025). Advancing PFMEA Decision-Making: FRADAR Based Prioritization of Failure Modes Using AP, RPN, and Multi-Attribute Assessment in the Automotive Industry. Teh. Glas.\/Tech. J., 19, accepted for publication."},{"key":"ref_42","first-page":"195","article-title":"Multi-Attribute Assessment of Road Design Solutions by Using the COPRAS Method","volume":"2","author":"Zavadskas","year":"2007","journal-title":"Balt. J. Road Bridge Eng."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"435","DOI":"10.15388\/Informatica.2015.57","article-title":"Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS)","volume":"26","author":"Zavadskas","year":"2015","journal-title":"Informatica"},{"key":"ref_44","first-page":"529","article-title":"A Novel Accuracy Function under Interval-Valued Pythagorean Fuzzy Environment for Solving Multicriteria Decision Making Problem","volume":"31","author":"Garg","year":"2016","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1002\/int.21790","article-title":"Fundamental Properties of Interval-Valued Pythagorean Fuzzy Aggregation Operators: Interval-Valued Pythagorean Fuzzy Aggregation Operations","volume":"31","author":"Peng","year":"2016","journal-title":"Int. J. Intell. Syst."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"10953","DOI":"10.1007\/s00500-018-3649-0","article-title":"A Novel Pythagorean Fuzzy AHP and Its Application to Landfill Site Selection Problem","volume":"23","author":"Karasan","year":"2019","journal-title":"Soft Comput."},{"key":"ref_47","first-page":"359","article-title":"Assessment of Sustainable Wastewater Treatment Technologies Using Interval-Valued Intuitionistic Fuzzy Distance Measure-Based MAIRCA Method","volume":"21","author":"Mishra","year":"2023","journal-title":"Facta Univ. Ser. Mech. Eng."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Nesti\u0107, S., Gojkovi\u0107, R., Petrovi\u0107, T., Tadi\u0107, D., and Mimovi\u0107, P. (2022). Quality Performance Indicators Evaluation and Ranking by Using TOPSIS with the Interval-Intuitionistic Fuzzy Sets in Project-Oriented Manufacturing Companies. Mathematics, 10.","DOI":"10.3390\/math10224174"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"279","DOI":"10.5937\/sjm16-27672","article-title":"Evaluation and Ranking of Insurance Companies by Combining TOPSIS and the Interval Fuzzy Rough Sets","volume":"16","author":"Lafuente","year":"2021","journal-title":"Serbian J. Manag."},{"key":"ref_50","first-page":"101","article-title":"Application of the DIBR II\u2013Rough MABAC Decision-Making Model for Ranking Methods and Techniques of Lean Organization Systems Management in the Process of Technical Maintenance","volume":"22","author":"Epler","year":"2024","journal-title":"Facta Univ. Ser. Mech. Eng."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"215","DOI":"10.31181\/smeor11202419","article-title":"SITW Method: A New Approach to Re-Identifying Multi-Criteria Weights in Complex Decision Analysis","volume":"1","author":"Kizielewicz","year":"2024","journal-title":"Spectr. Mech. Eng. Oper. Res."},{"key":"ref_52","first-page":"433","article-title":"Multi-Criteria Selection of Standards for System Analyst Activities in Organizations","volume":"21","year":"2023","journal-title":"Facta Univ. Ser. Mech. Eng."}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/18\/6\/342\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:46:42Z","timestamp":1760032002000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/18\/6\/342"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,4]]},"references-count":52,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2025,6]]}},"alternative-id":["a18060342"],"URL":"https:\/\/doi.org\/10.3390\/a18060342","relation":{},"ISSN":["1999-4893"],"issn-type":[{"value":"1999-4893","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,4]]}}}