The article is devoted to the creation of a multi-agent simulation model of the production process of receiving and storing milk; the description of the main parameters and the results obtained during the work with experiments with the model, as well as the description of the implementation of the multi-agent system using the Anylogic simulation environment are given. The introduction of multi-agent simulation methods allows to use digital tools to create a virtual copy of a real process with the ability to predict and identify food production facilities. The usage of simulation modeling is necessary for conducting experiments aimed at improving production processes through virtual testing.

This research paper discusses the application of multiagent simulation model of production processes by reference to milk receiving and storage. The paper describes basic parameters for general models, and presents the experiment results obtained during the model processing, as well as the approach towards implementation of the multiagent system employing AnyLogic simulation environment. The introduction of general technique to plot multiagent simulation models allows to use digital tools to create a virtual copy of the true-life processes with the possibility to provide forecast and identification of the food production industries. The employment of simulation modeling enables refinement of the production process under study, identification of its weaknesses, and provision of the expert opinion on improvement of production processes and as regards the results of virtual testing thereof.

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carried out with specified periodic actions, we can distinguish their multiplicity, diversity and originality. However, with regard to the sterilization processes in autoclaves, there is currently no high-quality control system for them, which still determines the relevance of this task. The article offers a selection of criteria that can be applied to the automatic control system, taking into account the specifics of the processes that occur during the sterilization of canned food using an autoclave. This article also discusses the structure of this process using the basics of the theory of automatic control. In addition, it provides a simulation of these processes. In contrast to the existing structures, the proposed automatic control structure is characterized by openness, which increases the design efficiency in the development of such control systems. The basis of this approach in the form of a two-circuit four-channel controller, allows you to improve existing and create new automatic control systems for sterilization plants.

Abstract: The article is devoted to the method for creating multiagent models for forecasting and identifying production processes using a structural parametric approach. Using multiagent simulation allows reflecting the state and dynamics of complex active systems of production processes with analysis and forecasting of the quality of the finished product. The methods and algorithms of the structural parametric approach to the implementation of an agent-based simulation model based on the system self-diagnosis are described.