METHODOLOGICAL FRAMEWORK FOR THE DEVELOPMENT AND MULTICRITERION VALIDATION OF THE EFFECTIVE ERGONOMIC LOAD MODEL

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

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Publication Details

Journal
Journal of Sustainable Technologies and Materials
Published
2025-12-31
DOI
https://doi.org/10.57131/jstm.2026.09.3
Primary Topic
Ergonomics and Human Factors
Type
article
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article

METHODOLOGICAL FRAMEWORK FOR THE DEVELOPMENT AND MULTICRITERION VALIDATION OF THE EFFECTIVE ERGONOMIC LOAD MODEL

Edin Cerjaković, Muhamed Herić, Slađan Lovrić, Alan Topčić
Journal of Sustainable Technologies and Materials
Ergonomics and Human Factors
article

METHODOLOGICAL FRAMEWORK FOR THE DEVELOPMENT AND MULTICRITERION VALIDATION OF THE EFFECTIVE ERGONOMIC LOAD MODEL

Edin Cerjaković, Muhamed Herić, Slađan Lovrić, Alan Topčić
article en

Abstract

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

Journal of Sustainable Technologies and MaterialsVol. 5(9)
University of Tuzla (BA)
Openalex Percentile: Top 40%
Ergonomics and Human Factors
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METHODOLOGICAL FRAMEWORK FOR THE DEVELOPMENT AND MULTICRITERION VALIDATION OF THE EFFECTIVE ERGONOMIC LOAD MODEL — Edin Cerjaković, Muhamed Herić, et al. · Journal of Sustainable Technologies and Materials (2025) | TGRS Research Map | TGRS