DECISION MAKING ON EFFECTIVE CONTROL OF RECTIFICATION PROCESS IN THE MAIN COLUMN OF DELAYED COKING UNIT IN FUZZY ENVIRONMENT
АЙҚЫН ЕМЕС ОРТАДА БАЯУ КОКСТЕУ ҚОНДЫРҒЫСЫНЫҢ НЕГІЗГІ КОЛОННАСЫНДАҒЫ РЕКТИФИКАЦИЯЛАУ ПРОЦЕСІН ТИІМДІ БАСҚАРУ БОЙЫНША ШЕШІМ ҚАБЫЛДАУ
Assanova B. Orazbayev B. Moldasheva Z. Shangitova Z.
2025National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2025#2025Issue 555 - 72 pp.
The quality of petroleum products at the outlet of the main rectification column in a delayed coking unit is uncertain and typically evaluated by laboratory experts based on their experience and test results. Therefore, addressing decisionmaking in a fuzzy environment for controlling the rectification process and ensuring product quality is a relevant scientific and practical task. This paper aims to study and solve the decision-making problem for effective control of the rectification process in the main column of the delayed coking unit under uncertainty. The key outcome is a heuristic method developed to address decision-making under fuzzy conditions, modifying the optimality principles of the main criterion and Pareto optimality. Using this method, a fuzzy-constrained decision-making problem for rectification control is resolved. The method demonstrates advantages over conventional deterministic approaches. Its scientific novelty lies in formalizing fuzzy expert information through membership functions, enabling maximum utilization of expert knowledge. This enhances decision accuracy in fuzzy environments. The proposed approach effectively translates expert insight into structured decision models, improving the adequacy of solutions in uncertain conditions. The practical significance is in applying this method to manage complex industrial processes where input data is vague and expert judgment is essential. The results contribute to improving the efficiency and reliability of production control in the petroleum industry and can be extended to other areas requiring fuzzy decision-making.
decision making , fuzzy problem , heuristic method , Pareto principle of optimality , principle of the main criterion , rectification process
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Kh. Dosmukhamedov Atyrau University, Atyrau, Kazakhstan
L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Kh. Dosmukhamedov Atyrau University
L.N. Gumilyov Eurasian National University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026