Abstract
In oil refining and other industries, computer decision support systems have recently been actively introduced to manage production processes, the advantage of which is the presence of an intellectual part due to the intelligence of experts. The basis for developing a decision support system for controlling the operating modes of a hydrotreating unit is proposed to use mathematical models of technological objects of a hydrotreating unit, constructed using fuzzy and linguistic approaches. Then the formalization and formulation of the decision-making problem to control the operating modes of the hydrotreating unit is developed on the basis of mathematical models using modifications of various optimality principles. Based on the modified optimality principle, a heuristic method has been created for solving this decision-making problem to control the operating modes of the hydrotreating unit of a reforming unit using initial fuzzy information. The developed heuristic methods use the Pareto principles of optimality and absolute or relative concession, simplified for working in a fuzzy environment, and their combinations for criteria and restrictions. The proposed methods are also workable in a clear environment, when the task is described by clear information, i.e. are more versatile. The main functional blocks for the development of an intelligent decision support system for managing the operating modes of a hydrotreating unit are considered and the advantages of the proposed decision support system in comparison with similar systems are highlighted.