  Maintenance engineers deal with increasingly complex automated production
systems (aPSs). Such systems are characterized by an increasing computerization
or the addition of robots that collaborate with human workers. The effects of
changing or replacing components of such systems are difficult to assess since
there are complex interdependencies between process parameters and the state of
the components. This paper proposes a model-based training system that
visualizes these interdependencies using domain-independent SysML models. The
training system consists of a virtual training system for initial training and
an online support system for assistance during maintenance or changeover
procedures. Both systems use structural SysML models to visualize the state of
the machine at a certain step of a procedure. An evaluation of the system in a
changeover procedure against a paper-based manual showed promising results
regarding effectiveness, usability and attractiveness.
