Theory of Modeling and Simulation
Theory of Modeling and Simulation
A Multi-Formalism Modeling Composability Framework: Agent and Discrete-Event Models
DS-RT '05 Proceedings of the 9th IEEE International Symposium on Distributed Simulation and Real-Time Applications
Multi-formalism modeling approach for semiconductor supply/demand networks
WSC '04 Proceedings of the 36th conference on Winter simulation
Proceedings of the 38th conference on Winter simulation
Flexible experimentation and analysis for hybrid DEVS and MPC models
Proceedings of the 38th conference on Winter simulation
Simulation
Expert Systems with Applications: An International Journal
Integrating discrete-event and time-based models with optimization for resource allocation
Proceedings of the Winter Simulation Conference
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It is a common practice to use simulation for validating different types of control and planning algorithms. However, the science of how to rigorously integrate simulation and decision models is not well understood and becomes critically important as the complexity and scale of these models increase. In our research, we have developed a methodology for integrating different types of models using a Knowledge Interchange Broker (KIB). In this paper we describe a supply-chain semiconductor application where the KIB has been used as an integral part of developing and deploying a commercial Model Predictive Control model for use in operating a multi-billion dollar supply chain. The simulation based experiments facilitated developing and validating the controller design and data automation for a real-world semiconductor manufacturing system.