Abstract

This paper demonstrates that contemporary studies into optimization of technological processes do not take into consideration in the models of systems and in the applied criteria the requirements to the overall efficiency of the process and compliance with the objectives of the owner of a privately-held industrial enterprise. This necessitates the reduction of cost and time of a technological operation, as well as maximization of the added value of the primary product. The effectiveness of the system of a flow treatment of raw materials is estimated using a specialized model, which was synthesized in the course of this work. The proposed model is different in that it includes units to calculate the unit cost of a product depending on the quality indicator and the degree of correspondence to the proposed quantitative and qualitative constraints. There are calculation units for the dynamics of change in a qualitative indicator of the finished product depending on a flow of raw materials and the energy supplied to treatment. The units are also required to calculate the consumption of resource and energy for the transporting and treatingg parts of the system in the interval, defined as the time taken for a conditional batch to pass through the installation. Using the developed model makes it possible to determine the value for the performance indicator for any permissible technological mode and to perform a global optimization of the process. Thus, there is a transition from the requirements to efficiency in general terms to setting the technological process parameters. Here we propose the analytical form for a performance indicator, suitable as an optimization criterion for modes of the technological installation with a continuous supply of raw-material and energy products. We have experimentally studied a model of the flow-through electric heater with units that calculate time and cost parameters, which has demonstrated its adequacy. The developed optimality criterion was verified and the possibility of its application was proven for determining the optimal permissible operating modes of the technological equipment with a continuous supply of raw materials and energy.

Highlights

  • Systems processes at any enterprise should proceed in such a way that operating results are maximally consistent with the purpose of the owner [1].To ensure such an alignment, it is required to reduce costs and duration of a technological operation, as well as maximize the added value of the primary product [2]

  • It should be noted that a large number of technological equipment in ore-mining and chemical industries, and these include almost all the tools that perform basic technological operations, operate at continuous supply of raw materials [5]

  • For the technological process of a one-stage treatment, characterized by a continuous supply of raw materials, energy and resource consumption, optimization can be performed by using a specialized model

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Summary

Introduction

Systems processes at any enterprise should proceed in such a way that operating results are maximally consistent with the purpose of the owner [1] To ensure such an alignment, it is required to reduce costs and duration of a technological operation, as well as maximize the added value of the primary product [2]. Enterprises solve the low-level automation tasks, implement workshop SCADA systems and primary elements of MES-systems [6]. They still have not applied mathematically substantiated models and methods of control over technological equipment, in order to ensure their optimal functioning in global terms [7]. Solving a scientific-applied problem on the synthesis of optimal systems for the flow processing of raw materials makes it possible to improve efficiency of enterprises through better management of resource-intensive processes [9] at each stage of production based on a single criterion for effective use of resources

Literature review and problem statement
The aim and objectives of the study
Discussion of results of modeling the system of flow treatment
Conclusions
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