Methodology for analyzing and eliminating the causes of operational disruptions in a chemical industry holding
DOI: 10.21293/1818-0442-2025-28-4-95-103
Abstract: The paper considers a methodology for analyzing and mitigat-ing the root causes of operational disruptions in production pro-cesses. The core of this methodology is the use of causal Bayes-ian networks (CBNs). The structural and logical framework of the methodology is presented, as well as its main stages. An algorithm is provided for constructing a CBN based on the anal-ysis of production processes within a chemical industry hold-ing. The paper offers recommendations for implementing the methodology to enhance production performance.
Keywords: root causes, super-active solutions, auto-mated control system, chemical industry, production efficiency
Authors and copyright holders:
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For citation:
Vivchar R. M., Kovalenko M. E., Dmitrienko D. S., Smirnov A. I., Cherkasov S. A., Zaytsev A. I., Kirichek R. V. Methodology for analyzing and eliminating the causes of operational disruptions in a chemical industry holding. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2025, vol. 28, no. 4, pp. 95–103. DOI: 10.21293/1818-0442-2025-28-4-95-103
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