Aplicação de simulação para o estudo de filas na recepção de leite em uma indústria de laticínio

Abstract

Milk has a very important nutritional, social and economic role in Brazil. The nutritional capacity of milk is responsible for generating a healthy life for those who consume it. Socially and economically speaking, milk generates a long chain of jobs, from the producer to the worker in the industry that benefits it. The need to optimize processes, costs and waste is still one of the biggest challenges found within the industry due to its perishability. The milk industry has been looking for alternatives for this; as its raw material has a short shelf life, logistics, processes and production are extremely interconnected, aiming at zero waste and rapid use of this raw material. Milk wastage occurs mainly due to lack of adjustment of arrival of trucks to unload the milk in the silo. As it is a product of rapid deterioration, the product in silo must be dynamic, that is, it must not remain in the silo for a long time so as not to impair quality. Similarly, the product that arrives to supply the silo must be able to meet the needs of the factory, as empty silos imply the need for longer waiting, which implies possible queues. To deal with productivity problems, this study was conducted under the queuing theory, Markov and Monte Carlo in order to provide some necessary operational changes regarding the arrival of trucks in order to meet the demand and avoid product waste generated by the queues. The simulations studied are: to determine the sequence of types of trucks that arrive and to determine arrival times in the shift. The simulation shows that for the first simulation studied, current performance, the queue was four trucks and with a lack of product at the factory at the beginning of the shift, applying the improvements we arrived at a result of a reduction in the queue of trucks of 83.3% and meeting demand from the beginning of the shift.