Methodology for Justifying Robust Solutions for Managing the Production of a Chemical Industry Holding

The relevance of the study is determined by the need to identify production management solutions that ensure the required efficiency of its functioning under the influence of various disturbing factors.

Research objective: to identify ways to improve production efficiency by upgrading the automated production management system. During the study, simulation modeling of the production process and processing of its results using Rosenblatt ‒ Parzen methods and numerical n-fold integration were used to determine the probabilities of achieving a set of objectives. These probabilities made it possible to form a range of acceptable solutions for managing production operations and, using the centroid method, to select the optimal solution in terms of robustness.

Results. A methodology has been developed for justifying robust solutions for managing the production of a chemical industry holding company.

Novelty. The proposed methodology differs from existing ones in that it uses the criterion of maximizing robustness to find the optimal solution, which helps to find solutions that ensure the achievement of a set of production objectives even in the event of unforeseen circumstances or external disturbances in the future.

Practical significance. Implementing the proposed methodology as part of the existing mathematical support for the automated production management system of the chemical industry holding company will enable the introduction of a proactive approach to production management practices and significantly improve the efficiency of this process.

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