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Occupational Health and Safety Risk Assessment based on Combination Weighting and Uncertain Linguistic Information:
Ran Liu1, Xun Mou1, Hu-Chen Liu2
1School of Management, Shanghai University, Shanghai, China.
IISE Transactions on Occupational Ergonomics and Human Factors
|January 15, 2021
Summary
This study introduces a new occupational health and safety (OHS) risk assessment model. It effectively ranks hazards using expert opinions and uncertain data, improving worker safety.
Area of Science:
- Occupational Health and Safety
- Risk Management
- Decision Science
Background:
- Occupational hazards and accidents pose significant global risks.
- Current risk assessment methods struggle with inadequate data and complexity.
- Effective risk assessment is crucial for worker well-being.
Purpose of the Study:
- To develop a novel occupational health and safety (OHS) risk assessment model.
- To address limitations in existing models, particularly regarding uncertain data.
- To provide a practical tool for ranking occupational hazards.
Main Methods:
- A new OHS risk assessment model combining weighting techniques.
- Integration of uncertain linguistic information from domain experts.
- Application to a real-world shopping mall construction project.
Main Results:
- The proposed model effectively assesses and ranks occupational hazards.
- Demonstrated practicality and flexibility in risk evaluation.
- Successfully captured expert opinions for hazard prioritization.
Conclusions:
- The new model offers a valuable approach to OHS risk assessment.
- It provides a method for prioritizing hazards to enhance worker safety.
- The model is a useful tool for improving occupational health and safety practices.
Keywords:
Occupational health and safetycombination weightingconstructionrisk assessmentuncertain linguistic setMore Related Videos
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