Abstract

The current trends in the development of production dictate the need to increase competitiveness by bridging the gap between the organization of production and digital technologies. To improve production efficiency, lean manufacturing strategies are being implemented that focus on identifying and minimizing waste and eliminating them. At the same time, the capabilities of digital transformation allow monitoring of production processes in real time. Thus, it is possible to use lean manufacturing tools such as a value stream map to effectively capture processes and predict the production situation in a dynamic mode. In the developed automated system for dynamic mapping of the value stream, the principle of simulation is implemented. With the help of simulations, it is possible to study the alternatives for improving the process and the impact of the proposed changes before implementation. Dynamic modeling of the value stream map allows you to develop an automated control system with the definition of optimal parameters and modes of operation of the production process. The object of modeling is a value stream map that displays the stages of movement of flows of materials, parts, assembly units and information. To investigate the parameters of the production process and implement the principles of lean manufacturing, dynamic mapping of the current state value stream and modeling of the future state were implemented.

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