Inside simulation software: how it works and why it matters
WSC '94 Proceedings of the 26th conference on Winter simulation
Simulation of advanced manufacturing systems
WSC '94 Proceedings of the 26th conference on Winter simulation
SIMOBJECT: from rapid prototype to finished model—a breakthrough in graphical model building
WSC '94 Proceedings of the 26th conference on Winter simulation
Discrete event simulation for shop floor control
WSC '94 Proceedings of the 26th conference on Winter simulation
An agent-based flexible routing manufacturing control simulation system
WSC '94 Proceedings of the 26th conference on Winter simulation
Modeling of a tool shared flexible manufacturing system
WSC '94 Proceedings of the 26th conference on Winter simulation
Recent advances in the modeling, scheduling and control of flexible automation
WSC '93 Proceedings of the 25th conference on Winter simulation
The simulation of integrated tool performance in semiconductor manufacturing
WSC '93 Proceedings of the 25th conference on Winter simulation
Modeling just-in-time production systems: a critical review
WSC '93 Proceedings of the 25th conference on Winter simulation
A flexible assembly global control simulation
WSC '93 Proceedings of the 25th conference on Winter simulation
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Flexibility in developing and testing operating policies for manufacturing systems requires the ability to quickly and easily change a simulation model to incorporate the new policy. To achieve this goal, the model of the system control strategy should be separated from the model of the physical system. Using a flexible manufacturing cell as an example, we first show how this separation can be accomplished, and then discuss desirable features in a language that would simplify the approach.