Abstract:
This article is devoted to the study of decision-making problems of hydrotreating process
control in the production of high-quality gasoline under conditions of scarcity and fuzziness of
the initial information, ultimately developing an approach to solve them. A systematic method
is proposed that makes it possible to develop a package of mathematical models of a complex of
interconnected units of chemical-technological systems based on available information of various
types. Using the proposed system method, a package of models of the main interconnected units
in which the hydrotreating process took place was developed. A decision-making problem was
formulated to control the hydrotreating process in a fuzzy environment based on the developed
system of models. By modifying the Pareto principle of optimality for fuzzy conditions, a heuristic
method for solving the given decision-making problem was developed to control the hydrotreating
process in a fuzzy environment. The novelty of the proposed heuristic method lies in the full use of the
collected fuzzy information, which represents the knowledge, intuition and experience of the decision
makers and experts. Accordingly, the proposed heuristic decision-making method makes it possible
to achieve a high adequacy and efficiency of decisions made when solving production problems in a
fuzzy environment. The results obtained were applied in practice to solve decision-making problems
for hydrotreating process control at the Atyrau refinery. The results obtained show the advantages
of the proposed heuristic method for solving decision-making problems of hydrotreating process
control over known methods.
