Enhancing Occupational Safety & Ergonomics in Bangladesh’s RMG Industry: Multisensory Workload Analysis with Machine Learning Algorithm

Project ID: AIRG/2023/MPE/05/03

Funding Source: AUST Internal Research Grant

Project Awarded: 1^st April, 2024

 

Principal Investigator:

Shah Murtoza Morshed

Lecturer, MPE Department, AUST

 

Co-principal Investigator/s:

Sheak Salman

Lecturer, MPE Department, AUST

 

Rafat Rahman

Lecturer, MPE Department, AUST

 

Afia Ahsan

Lecturer, MPE Department, AUST

 

Project Duration: 2 years

Budget approved: 10,00,000/-

 

Expected Research Outcomes:

• To improve occupational safety and ergonomics in RMG factories.
• To enhance worker well-being and reduced health risks. (Good Health and Well-being: SDG 3)
• To increase productivity and job satisfaction among workers.
• To adoption of data-driven ergonomic standards across the RMG industry.
• Sustainable growth and improved reputation of Bangladesh’s RMG sector.
• A pioneering model for integrating sensor technology, machine learning, and industry collaboration in occupational safety and ergonomics.