Abstract

Abstract. Computational simulation is a powerful tool that allows the experimentation of variants in production environments, which made on real scenarios, would entail heavy costs for the company. For this, it is necessary to correctly define the model that represents the actual processes involved. This paper presents the development of a computational simulation model, developed with "Siman" programming language and "Arena" software, based on queuing theory for the processes of milk production process in the Dairy Plant FCP-ESPOCH. We sought to determine the efficiency of the computational model using the scientific method, techniques of descriptive statistics and hypothesis demonstration. The results indicate that the data of the model are similar to the real ones in the processes of Daily Crude Milk Reception and Production Daily Pasteurized Milk, concluding that the computational model is valid for future experimentation.

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