| In the past decades discrete event simulation has proven itself as a powerful means for supporting decision makers in the (re)design of facilities for manufacturing and distributing products. In our research it plays an important role by allowing for the realistic testing and validation of new scheduling rules or production system designs. Moreover, we consider possibilities for improving simulation methodology by extending capabilities of simulation tools in modelling decision-making. So far little attention has been paid to modelling manufacturing control, i.e., the managers or systems deciding on the use of resources, their activities and the mutual tuning of these activities. This is surprising, as the relevance of control in realizing logistic performance is undisputed. |
