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3988. Human Digital Twin for Improving Occupational Health and Safety
Invited abstract in session MB-43: Simulation of organizations II, stream Agent-based Models in Management, Economic and Organisation Sciences.
Monday, 10:30-12:00Room: 99 (building: 306)
Authors (first author is the speaker)
| 1. | Hanane El RAOUI
|
| Management Science, University of Strathclyde | |
| 2. | Le Khanh Ngan Nguyen
|
| Management Science, University of Strathclyde | |
| 3. | Ian Belton
|
| Strathclyde Business School, Management Science Department | |
| 4. | Nathan Thompson
|
| Strathclyde Business School, Management Science Department | |
| 5. | Mohamed ELAWADY
|
| Computer and Information Sciences, University of Strathclyde |
Abstract
Human-centricity is central to the transition to Industry 5.0, prioritizing diverse human needs from health and safety to personal growth. In Industry 5.0, digital twins (DT) play a key role in seamlessly bridging the physical and virtual realms. While these virtual replicas enhance process safety, they often short in providing a comprehensive overview of safety issues. Various human factors contribute to the emergence of risky behaviours among workers, thereby posing significant threats to health and safety. Recognizing this reality underscores the imperative for integrating human elements within digital twins.
In the industrial field, there's a noticeable lack of comprehensive exploration into the digital twins of workers, mainly stemming from a prioritization of production efficiency over human needs. The proposal of the Human Digital Twin (HDT) emerges as a critical approach to realizing human-centricity in Industry 5.0. HDTs, serving as digital counterparts of humans, aim to revolutionize human-system integration by establishing a direct connection between human characteristics and system design and performance.
However, the exploration into advancing HDT development to redefine human roles and unlock full potential remains limited. This research aims to investigate the role of the human digital twin as an enabler of human-centricity in the industry. It proposes an HDT framework from a human factors perspective, promoting human safety and well-being in Industry 5.0.
Keywords
- Simulation
- Artificial Intelligence
- Agent Systems
Status: accepted
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