1993Unpublished venueOpen access

Modeling beverage processing using discrete event simulation

Charles R. Harrell

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Abstract

While most presentations on simulation in manufacturingtend to focus on traditional manufacturing industries, one tremendous potential for applying simulation is in beverage processing.Beverage processing poses questions that can be readily answered using simulation modeling.This presentation shows how a discrete event simulation language (ProModel) can help provide insights into the complex behavior of beverage processing.An example model is developed to illustrate the use of discrete event simulationfor determining the impact of alternative sequencing and batch sizes.

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What this paper is about

While most presentations on simulation in manufacturingtend to focus on traditional manufacturing industries, one tremendous potential for applying simulation is in beverage processing.Beverage processing poses questions that can be readily answered using simulation modeling.This presentation shows how a discrete event simulation language (ProModel) can help provide insights into the complex behavior of beverage processing.An example model is developed to illustrate the use of discrete event simulationfor determining the impact of alternative sequencing and batch sizes.

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Available abstract

While most presentations on simulation in manufacturingtend to focus on traditional manufacturing industries, one tremendous potential for applying simulation is in beverage processing.Beverage processing poses questions that can be readily answered using simulation modeling.This presentation shows how a discrete event simulation language (ProModel) can help provide insights into the complex behavior of beverage processing.An example model is developed to illustrate the use of discrete event simulationfor determining the impact of alternative sequencing and batch sizes.

Key concepts: Discrete event simulation, Computer science, Event (particle physics), Simulation, Quantum mechanics, Physics

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