safety at work

Artificial Intelligence for more safety at work

16.01.2023 - Italy - Austria - Germany

People have always been at the heart of Markas' activities, and regardless of the department or seniority level, safety at work has been a top priority. 

That was exactly the objective of Markas' latest ergonomic risk assessment project that was carried out during the last few years. 
safety at work - member of facility staff
Understanding the impact of repetitive movements

Markas' Ergonomic Risk Assessment Project, which was conducted in collaboration with ErgoCert, an independent accredited body for the certification of the ergonomic characteristics, covered almost all Markas' business areas: Housekeeping, Food, Clean and Facility.

The goal? Assessing the impact of the various activities performed by Markas' workers, in terms of health and safety risks, and in particular the effects of repetitive movements, manual handling of loads as well as inappropriate lumbar and cervical posture. 

Why? To better prevent work-related injuries or conditions that may develop over time, and provide Markas' staff the right information, equipment and training. 
Ergonomic risk assessment and safety at work
Ergonomic risk assessment through innovative processes

While similar projects have been traditionally based on self-reporting and visual observation, Markas' ergonomic risk assessment has been much more accurate thanks to innovative systems and technologies.  

More precisely, using artificial intelligence and wearable sensors, worn by workers while on duty, made it possible to detect incorrect and potentially hazardous movements.

This, in combination with the expertise of certified ergonomists helped Markas identify the best measures to protect employees and improve workplace wellness.
safety at work - collecting data
The project

The evaluation not only involved internal and external stakeholders from different departments but it also included different stages of analysis. During the first phase, the most representative work environments and locations were identified through various survey and planning activities. Then, specific factors such as shift and break timings, number of workers, description and duration of tasks, as well as rotations between different jobs were studied and analyzed. 

The second phase of the project focused more on collecting data on the identified environments and task performance. This included tracking and recording movements and postures during the performed tasks among others. Finally, the third phase included data analysis, evaluating, categorizing, and prioritizing risk parameters, as well as determining risk indices.