@inproceedings{becker2003study,
	abstract = {Complex systems such as flexible manufacturing systems and traffic systems typically evolve with alternating periods of transient and nearly steady-state behavior; such systems often show suboptimal performance. Thus, it is desirable to optimize the system’s performance on-line by adjusting the system’s parameters properly before a performance drop is to occur. To this end, the system’s future evolution is assessed in advance repeatedly by means of on-line simulation. However, there are several problems accompanying this approach, particularly the demand of real-time decisions, that have not been sufficiently solved yet. Aiming at studying the dynamics of on-line control as well as its impact on the system’s operation, we built a stochastic Petri net model that simulates online control of a simple open queueing network as it performs by means of on-line simulation. The system under control is easy to study since it has known properties and can be considered as part of a manufacturing system; jobs arriving at the system have to be dispatched to one of two machines, each providing a queue for jobs waiting to be processed. The processing times of the machines are deterministic or stochastic, while the jobs’ arrival times are stochastic. With on-line simulation, the system’s future performance is assessed by virtually dispatching a new job to either of the machines, based on the system’s current state; the results are compared and thus lead to the real decision concerning to what machine the new job should be dispatched in order to minimize the work in progress.},
	title = {A STUDY OF CONTROL VIA ON-LINE SIMULATION USING STOCHASTIC PETRI NETS},
	author = {Becker, Matthias and Bessey, Thomas and Szczerbicka, Helena},
	booktitle = {European Simulation Symposium (ESS)},
	year = {2003},
	papertype = {fullpaper}
}