Machine operators working on holonic systems focus their activity on complex problem solving (Oborski & Szafarczyk 2001). Fractal and bionic manufacturing ideas propose manufacturing system performance improvement by stressing work organization factors based on autonomous groups. The human operator also plays a vital role in computer integrated manufacturing (Nagalingam & Lin 1999). All of those new manufacturing engineering paradigms are aimed at creating so-called advanced manufacturing engineering systems. In such systems, several factors are decisive for success: technology, information processing and human factor. Moreover, those factors must coexist together. One of the most crucial and not yet appreciated factors in this combination is the cooperation of technical systems and the human operator. The proposed research will be based on advances in socio-technical approach in Manufacturing Engineering.
The socio-technical approach to system design was introduced by the Tavistock Institute of Human Relation in London in the early nineteen-fifties.