Application of the New Ranking Alternatives by Mean of Normalization (RAMEN) Method in Ranking Employee Competency Profiles for Industry 5.0

Changes in the way of doing business and the introduction of the Industry 5.0 system have led to changes in the employee competencies that companies require. This research evaluates competency profiles for the needs of manufacturing highly sophisticated products within the Industry 5.0 system, using the example of Croatia. The application is a new multi-criteria decision-making (MCDM) method, RAMEN (Ranking Alternatives by MEan of Normalization), which ranked competency profiles based on deviations from the average normalized value derived from expert evaluations. Ten criteria and eight competency profiles were selected and collected using the Delphi method. Data were gathered from experts across 18 companies. The linguistic evaluations of the experts were used in the form of crisp and fuzzy values. The results of this research showed that the most important criteria are complex problem-solving, critical thinking, and adaptability to technological changes. Based on the steps of the RAMEN method, the highest-ranked competency profiles were the multifunctional profile and the adaptive continuous learning profile. These results were confirmed by a comparative analysis and a sensitivity analysis performed using 30 scenarios. The RAMEN method demonstrated high stability and robustness in ranking competency profiles, which was shown through the analysis of the dynamic decision matrix. The contribution of this research is based on the development of the new RAMEN method and the identification of the most important competency profiles in Industry 5.0.