Dynamic, adaptive worker allocation for the integration of human factors in cyber-physical production systems

Abstract

In this paper an adaptive, dynamic, and individualized worker allocation method is presented. The developed method is based on individual worker information, the new flexible cyber-physical production system, and the communication between the participants of such a production system. According to a communication scenario demands of a manufacturing step and a manufacturing station are compared with employee information. This provides the basis for a decision of the worker allocation. Workers are only allocated to manufacturing stations that match their qualifications and personal characteristics. For a better integration of human factors in CPPS, the job satisfaction of each worker also has to be taken into account. Therefore a satisfaction value for each manufacturing operation and manufacturing station is defined and part of the worker information. The aim of the research is to increase the productivity in the production system and the satisfaction of each individual worker.