Original scientific paper
https://doi.org/10.30765/er.3326
A neutrosophic MCDM framework for prioritizing preventive and detection actions in automotive manufacturing
Danijela Tadić
; Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
Nikola Komatina
; Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
Vladimir Simić
; University of Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Serbia; BEU-Scientific Research Center, Baku Engineering University, Khirdalan City, Baku, Azerbaijan; Innovation Centre of the Faculty of Mechanical Engineering, Belgrade, Serbia
Marija Milanović
; Innovation Centre of the Faculty of Mechanical Engineering, Belgrade, Serbia
Dragan Marinković
; TU Berlin, Department of Structural Analysis, Berlin, Germany; Institute of Mechanical Science, Vilnius Gediminas Technical University, Lithuania; University College, Korea University, 145 Anam-ro, Seoul, Korea
*
* Corresponding author.
Abstract
The quality and reliability of the production process in the automotive industry can significantly affect the market reputation and overall business performance of the entire company. In this paper, a Multi-Criteria Decision-Making (MCDM) model is defined for determining the priority of preventive and detection actions, i.e., a guideline that can be used to follow the prioritization of these actions. To model uncertainty and imprecision in expert evaluations, the model integrates Single-Valued Neutrosophic Sets (SVNSs) with the Single-Valued Neutrosophic Weighted Averaging Operator (SVNWAO) and the ELimination Et Choix Traduisant la REalité (ELECTRE) method. SVNWAO is used for determining the weights of criteria, while ELECTRE is applied for ranking the considered actions. The proposed methodology is applied in a case study conducted in a company that is a tier-1 supplier in the automotive industry. In cooperation with company experts, a total of 12 specific management actions and 6 criteria were identified according to which these actions were evaluated. The research results showed that Poka-Yoke by design is the most reliable action, providing long-term efficiency, followed by Update of standardized work instructions, Additional operator training, and Increased inspection frequency. The proposed model, as well as the results of this research, provide practitioners with a robust and objective tool for prioritizing actions, as well as for allocating resources in a complex and dynamic industrial environment.
Keywords
automotive industry; MCDM; SVNSs; SVNWAO; ELECTRE; Poka-Yoke
Hrčak ID:
349555
URI
Publication date:
21.7.2026.
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