Theory of Modeling and Simulation
Theory of Modeling and Simulation
Guest editorial: Special issue on computer automated multi-paradigm modeling
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Multi-formalism modeling approach for semiconductor supply/demand networks
WSC '04 Proceedings of the 36th conference on Winter 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
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
Application of the DEVS framework in construction simulation
Proceedings of the 38th conference on Winter simulation
Complexities of simulating a hybrid agent-landscape model using multi-formalism composability
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
| Hi-index | 0.00 |
Simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides information for its controller to account for (expected) stochasticity present in the manufacturing processes. In turn, the controller can provide (near) optimal decisions for the operation of the processes and thus handle uncertainty in customer demands. In this paper, we describe an environment that synthesizes Discrete-EVent System specification (DEVS) with Model Predictive Control (MPC) paradigms using a Knowledge Interchange Broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.