1. Create a framework for workplace adaptation based on socio-organizational factors and the Capability Approach1. This framework will account for factors related to workplace attractiveness and the performance, well-being and engagement of the worker in the design and adaptation phases based on their experience. Both data from the actual production results as well as from shopfloor sensors (both on operators and machines) will be used.
2. Develop a human-automation load balancing method that determines the optimal trade-off between automation and human involvement at a shop-floor workplace, taking into account the needed flexibility for the process, the available Skills (offered both from human and machines), the safe integration of human and automation into the process and the overall load of the line.
3. Develop a method for measuring worker satisfaction, safety and health at work, i.e. “ergonomics climate”, via an online estimation of factors using a set of sensors at the shop floor.
4. Develop an advanced shop-floor tool, facilitating AR technologies, which will be used for knowledge capturing, networking, guidance and decision support. This will be developed through a user-centred development approach based on usability engineering lifecycle methodology with the assistance of an expert group consisted of human and social scientists and engineers.