Building a simulation model of a production system for a brewery
The management of modern production systems is associated with significant difficulties caused by the variability of the external environment, the deepening of specialization, the growth of the volume of stored information and the requirements for the timing of its processing. For enterprises whose capacity utilization is uneven throughout the year and depends, among other things, on the number of weekends and holidays when demand for their products increases, additional difficulties arise related to the efficiency of the production system. In addition, the pandemic caused by the spread of coronavirus infection continues to test the strength of small and medium-sized businesses. Special "stressful" conditions have developed for breweries, whose activities depend not only on the season, but also on the activities of the main large consumers in the form of catering enterprises, whose work has been subject to restrictions in the last two years. One of the most powerful and effective methods that have proven themselves for a comprehensive study of the activities of production systems and forecasting their further development is the method of simulation modeling in these conditions. The article is devoted to the construction of a simulation model for analyzing the activity of the production system on the example of a private brewery Bierquelle in Orenburg. In the work, a physical model of the brewing process was constructed using a special flow modeling library in the AnyLogic simulation environment. Replenishment of the input streams (water, malt, hops and yeast) used in the production of beer is carried out in accordance with the brewing schedule formed on the basis of the required demand for products. It was found that the available tanks for fermentation and fermentation of beer are quite enough to meet the demand. During the optimization experiment conducted on the constructed model, it was proved that the same volume of beer production can be achieved by reducing the number of fermentation tanks to seven. Another experiment conducted using the constructed model allows us to determine how much beer will be brewed with various combinations of the number of fermentation and fermentation tanks. The constructed simulation model of the production system allows the management of the brewery to plan beer production volumes in accordance with a given level of demand for beer, control the workload of fermentation tanks and make planning decisions faster in case of changes in demand for products, including the purchase of fermentation tanks and fermentation tanks.