A multi-discipline method to assess the human performance in manufacturing industry for safety and quality optimization

Nowadays the majority of organizations operating in manufacturing field recognize the importance of including the Human Factor contribution in the industrial process optimization (Hong et al. 2007). Technical measures and work organization procedures have been optimized in order to reduce the defects and waste generation but the Human Performance prediction still represents for Managers a difficult task to deal with.The prediction of the human performances of all workers involved in a production system would help Managers in better allocating the human resources. In order to reach this objective, a model to quantify the human capability of managing a complex task in a working context characterized by a set of physical, organizational and cognitive factors was designed.This paper presents the preliminary results of a three years industry/academia partnership project to assess the human performance in manufacturing plant. A multi-discipline approach involving both technical and individual factors was adopted