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June 27, 2026AlgorithmsOpen Access

A Hybrid Fuzzy Decision-Making Algorithm for Prioritization of the 8D Problem-Solving Methodology Using FBWM and FSREM

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Authors

NKNikola KomatinaDMDragan MarinkovićVSVladimir Simić

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Overview

Randomized trial reveals the significance of 8D disciplines in automotive supply chain, indicating consistency in prioritization across companies.

Key Points

  • This study aims to evaluate the significance and prioritize disciplines within the 8D problem-solving methodology.
  • Developed a hybrid fuzzy decision-making algorithm combining FBWM and FSREM.
  • Applied the algorithm in three companies within the automotive supply chain.
  • Conducted sensitivity analysis to assess perceptions among expert teams.
  • Discipline Identify and Verify Root Cause (D4) was found to significantly influence problem-solving effectiveness.
  • In two companies, Prevent Recurrence (D7) was ranked second; in one company, Define Permanent Corrective Actions (D5) took this position.
  • High consistency in results was observed, with minor deviations linked to differing quality management systems.

Cite This Study

Komatina et al. (2026) studied this question.

synapsesocial.com/papers/6a3f69caaea7db3c195407a0https://doi.org/10.3390/a19070510
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