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Optimization of agricultural raw material processing processes using key performance indicators


Work number - M 43 FILED

The scientific significance of the obtained results lies in the uniqueness of the combination of the latest technologies to develop a system of automated scenario-synergistic control of agricultural raw materials processing, taking into account the key performance indicators, which based on methods of nonlinear dynamics. According to the research results, scientists have created and tested a new, integrated approach to improve the efficiency of agricultural enterprises on the example of sugar production by creating an automated control system of material flows of the complex sugar factory.

For the first time on the world and domestic level, on the basis of factor-targeted and situational analysis, material flow control scenarios of the sugar plant complex were developed, which allowed to implement in selected situation-important areas of multi-criteria optimal control in conditions of uncertainty.

New principles and methods of analysis of technological processes of sugar production as a complex organizational and technical system from the position of nonlinear dynamics, received in this way, allowed to establish a change in the object development, its self-organization through the appearance of dissipative space-time chaotic structures. Diagrams of influence models for the main key performance indicators were developed, which reflect the relationship between the value of key performance indicators and the source of its measurement. This allowed to implement technical correspondences into the structure of sugar factory management system in order to evaluate the most important results for production and their level of effectiveness in the critical area.

Created the structure and developed algorithmic and software of an automated system of scenario-synergistic management of material flows of a sugar factory using modern information technology. Simulation and production testing of proposed technical solutions showed improvement in the quality of production, increase in productivity by 1.8%, reduction of energy consumption by 3.7%, reduction of sugar losses by 0.07%. The results obtained by the authors have contributed to the development of domestic science and are open for general use by the international scientific community.

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