Decision support framework for prioritizing labor protection measures to enhance workplace safety and compliance in Industry 4.0 environments

The proposed integrated MCDM framework provides a robust, objective, and reproducible approach for prioritizing labor protection measures in Industry 4.0 workplaces. By combining multiple objective weighting schemes with compromise-based ranking and comprehensive stability assessment, the model enhances decision transparency and reliability. The framework supports evidence-based formulation and strategic implementation of safety policies in digitally transformed industrial environments.

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Publication Details

Journal
Frontiers in Public Health
Published
2026-02-24
DOI
https://doi.org/10.3389/fpubh.2026.1781020
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Decision support framework for prioritizing labor protection measures to enhance workplace safety and compliance in Industry 4.0 environments

Wenrui Lei
Frontiers in Public Health
Occupational Health and Safety Research
article

Decision support framework for prioritizing labor protection measures to enhance workplace safety and compliance in Industry 4.0 environments

Wenrui Lei
article en

Abstract

The proposed integrated MCDM framework provides a robust, objective, and reproducible approach for prioritizing labor protection measures in Industry 4.0 workplaces. By combining multiple objective weighting schemes with compromise-based ranking and comprehensive stability assessment, the model enhances decision transparency and reliability. The framework supports evidence-based formulation and strategic implementation of safety policies in digitally transformed industrial environments.

Frontiers in Public HealthVol. 14
Johns Hopkins University (US), Construction Development (Qatar) (QA)
Decent work and economic growth
Openalex Percentile: Top 49%
Occupational Health and Safety Research
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