Automatization, competitive pressures and the ageing workforce stresses the importance of keeping the workforce fit for work now and in the future.
How can you identify and support workers under excessive mental stress, which could lead to burnout?
How can you check that daily workload does not lead to workers taking shortcuts that have a negative impact on their ergonomics?
How can you verify if some tasks, operations, or workstations are putting workers under too much strain?
Protecting Manufacturing Workers
Many manufacturing workers working on production-related duties must
perform repetitive tasks, move heavy equipment, and deal with time
pressure to reach productivity targets. However, the physical and mental
strain they build up over time tends to go unnoticed until it is too late,
and leads to musculoskeletal diseases, burnout, and worker turnover.
Now, with WearHealth's AI-driven risk prevention it is possible to keep production workers fit for work now and in the future, while making safety and health a competitive advantage by:
Mapping hidden human risks:
to raise awareness across the board with objective insights and open up
the preventive dialog between managers and workers
with objective insights from real operations and microlearning pills
that boost worker engagement and long-term adherence to preventive
Assessing how to optimize
with objective information about the impact of operations and support
tools such as exoskeletons on the workforce.