Simulation-based real-time scheduling: review of recent developments
WSC '95 Proceedings of the 27th conference on Winter simulation
Exception management on a shop floor using online simulation
WSC '93 Proceedings of the 25th conference on Winter simulation
Real-time control of a manufacturing cell using knowledge-based simulation
WSC '91 Proceedings of the 23rd conference on Winter simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Extensions: performance analysis of real-time DEVS models
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Scheduling & control: shop floor scheduling with simulation based proactive decision support
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Modeling people flow: online simulation of pedestrian flow in public buildings
Proceedings of the 35th conference on Winter simulation: driving innovation
Simulation-based early warning systems as a practical approach for the automotive industry
Proceedings of the 38th conference on Winter simulation
Generation of alternatives for model predictive control in manufacturing systems
Proceedings of the Winter Simulation Conference
Generation of alternatives for model predictive control in manufacturing systems
Proceedings of the Winter Simulation Conference
Generation of alternatives for model predictive control in manufacturing systems
Proceedings of the Winter Simulation Conference
Initialization of simulation models using CMSD
Proceedings of the Winter Simulation Conference
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Online simulation is a relatively new control strategy for short-term decision-making for the control and management of processes in existing systems. In contrast to traditional "non-terminating" simulation, online simulation cannot use a transient phase to tune the models because the simulation models need to run very quickly and also need to deliver results right from the start. In this context, the initialization of such online simulation models represents a special problem. It requires mapping between the system-describing variables in the model and the available data in the real system. This paper examines two different methods of initialization. Special emphasis is placed on explaining the approach of parent model synchronization. Both initialization approaches are transferred to the context of analyzing and forecasting pedestrian flows in a public building. A first prototypical implementation in SLX is also briefly presented.