This paper aims to present a methodological framework for the development and validation of the
Effective Ergonomic Load Coefficient (KEEO) model, an approach that seeks to quantify total
workload by integrating physical, mental, organizational, and technical and technological factors.
Current methods, such as RULA, REBA, OCRA, SWAT, and JCQ, address only individual aspects of
work and thus limit insight into the entirety of ergonomic risk. KEEO is based on a multi-criteria
integration of methodologies for determining weights and factors that have been identified as
determinants of ergonomic workload. Validation includes assessment of the content validity of the
questionnaire, analytical boundary checking, sensitivity analysis, and Monte Carlo simulation. The
results obtained show stable linear behavior and proportionality between components, suggesting
that KEEO can serve as a basis for future integrated ergonomic workload indices. This
methodological work is the result of work on a doctoral dissertation on the topic "Multi-functional
analysis of effective workplace workload".
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