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Page 6 - Continuous Process Modeling Quick Start Guide
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Continuous Process Quick Start Guide
What is CP modeling?
What is CP modeling?
Continuous process (CP) modeling is the creation of a computer model of a system or process that changes continuously with respect to time. In a CP model:
• Time advances in equal steps
The model of the system or process may consist of algebraic, differential, or difference equa- tions set up to change continuously with time. During the simulation run, system behavior is tracked by observing the state of the system over the sequence of time steps.
☞ There are three main simulation methodologies: continuous process, discrete event, and dis- crete rate. For information about the other simulation methods, see “How CP modeling com- pares to other methodologies” on page 7.
While continuous process modeling is sometimes equated with System Dynamics, CP model- ing is a much broader methodology. System Dynamics is a subset of continuous modeling and is most often used when designing or improving policies and strategies. As seen below, CP modeling has a broader range of application areas.
Why simulate using CP modeling?
Discrete event simulation is the methodology most commonly taught in schools. However, in a whole range of situations, systems are not subject to discrete changes in state. Instead the state of the system changes continuously through time.
Continuous systems are widely seen in engineering, economics, and biology and CP modeling is most often used to:
• Perfect processes and products
• Planresourcecapacitybydeterminingtherateatwhichproductsarebeingprocessedorsold • Test various schedules to maximize process efficiency
• Createsimulatorsofplantsandprocessesfortrainingpurposes
• Evaluate system reliability
• Fine-tunedistributioncontrolstrategies
• Study system constraints and the impact of rate changes
• Analyze the effect of processes on the internal and external environment
Where is continuous process modeling being used?
Computer simulation is indispensable for understanding, analyzing, and predicting the behav- ior of complex and large-scale systems. It is used to gain an understanding of the functioning of existing systems and to help design new systems by predicting their behavior before they are actually built. The following table gives some of the most common areas where continuous process modeling is used.

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