This study focuses on the development of a decision support system for complex production systems. As a promising approach to resource allocation challenges, the application of AI tools, particularly the multi-agent approach, is proposed. It is hypothesized that a decision support system based on multi-agent systems (MASs), grounded in an invariant ontology and utilizing game-theoretic tools, will enhance the effectiveness of managerial decisions by accounting for the inherent multi-agent nature of complex production systems, manifested in diverse objective functions and intricate interaction structures. The work identifies key features of intelligent agent interactions in multi-agent systems. Drawing on interaction types relevant to complex production systems and the selected MAS implementation architecture, an ontological model of multi-agent interactions and an ontological model for managing complex production systems are designed. The proposed models are tested using data from an oil and gas enterprise, and a formalization of utility functions for its agents is provided using game-theoretic tools. The resulting ontological model of multi-agent interactions in complex production systems is practical and easy to implement. It enables the design of MASs for diverse complex production systems, as demonstrated through a resource management case study in the oil and gas industry. Future study will refine the ontological model via industry-specific validation and expand the mathematical and computational tools for model implementation.

Objectives. The authors conduct an analytical review of available optimization methods and simulation tools to identify their key features, effectiveness, and possible applications. The aim was to form an integrated picture of modern approaches, which may facilitate decision making when selecting the most appropriate method for a particular task. The key objective was to review and classify various optimization tools, which of theoretical and practical value for developers of new models.Methods. Scientific publications and analytical materials were retrieved from specialized databases and technical documentation libraries.Results. The analysis and classification of existing optimization methods allowed the authors to identify their advantages, disadvantages, and application features, as well as to determine the relationship between theoretical concepts and their practical implementation. During the analysis, various optimization approaches were considered, covering both classical and modern simulation methods.Conclusions. The importance of informed selection of optimization methods, which raise the efficiency and accuracy of simulation procedures, is highlighted. The results obtained indicate the need for further study and comparative analysis of the methods used in practice in order to establish their efficiency and applicability in various scenarios. Future research directions include experimental testing of the effectiveness of various approaches based on several models in order to determine their advantages and disadvantages for a more informed selection of the method suitable for a particular task.

Данная работа направлена на подготовку методологической базы для моделирования социально-экономических и социотехнических систем. Рассмотрены виды имитационного моделирования с точки зрения подбора оптимального решения в зависимости от особенностей объекта исследования и цели моделирования. Среди рассмотренных моделей, как инструмент для моделирования социально-экономических и социотехнических систем, наибольшее внимание уделяется гибридным моделям, позволяющим изучить анализируемый объект с разных сторон и на разных уровнях абстракции, комбинируя известные подходы имитационного моделирования. В дополнение, гибридные модели используются во многих сферах, таких как здравоохранение, экономика, экология, маркетинг, промышленные предприятия и производственные системы, что обеспечивает их универсальность, востребованность и эффективность данного подхода. В рамках исследования были проанализированы статьи базы научных публикаций Scopus, посвященные моделированию социально-экономических и социотехнических систем, имитационному моделированию и гибридным моделям. В данной статье рассмотрены базовые парадигмы имитационного моделирования и используемые методы для моделирования социально-экономических и социотехнических систем, произведена классификация по типу модели и гибридизации, освещены возможные комбинации типов гибридизации и применимость рассмотренных видов. Также выявлена тенденция к использованию гибридного моделирования в последние десятилетия, как средство для описания сложных социальных систем с различных точек зрения, где результаты подходов дополняют друг друга. В статье представлены предложения по интеграции инструментов технического моделирования в социально-экономические и социотехнические системы для обеспечения детерминированности системы. Результаты данного исследования могут быть использованы при выборе инструмента проектирования и прогнозирования поведения различных социально-экономических и социотехнических...

Sustainable consumption and production strive for the rational management of natural resources, which implies a transition to the production of fewer goods with the greatest consumer value. Consequently, the consumer value assessment is a key task in the product and service design. However, a large number of applied practices for assessing consumer value is a challenge for researchers. Multiple heterogeneous solutions without a common classification and structure do not allow comparing methods with each other. Thus, there is a demand for some universal algorithm for assessing consumer value, which would be a model for the development of individual industry practices. Therefore, the present research aims to develop a universal algorithm for assessing consumer value, which is a unified sample. The work analyzes the current expertise in assessing consumer value. The paper provides a comparison of mathematical tools for aggregate indicators in order to develop a general formula for assessing consumer value. As a result, an algorithm for assessing consumer value has been developed, which includes the following stages: market segmentation by consumer groups, taking into account their personal characteristics and needs; product hierarchical division into groups according to indicators valuable to the consumer; selection of a scale for evaluating indicators; hierarchical convolution, calculation of the consumer value of selected indicators and their aggregation into a final assessment in accordance with coefficients obtained as a result of the initial data analysis. As part of the algorithm verification, an example of the implementation of the algorithm steps based on expert assessment of the tourist product characteristics is proposed. At the next stage of the study, a register of mathematical tools will be specified to ensure the implementation of the algorithm steps, and practical testing on real data on several products from different industries.

This work is devoted to the development of recommendations for managing a project team at the conflict stage of its formation using game theory tools. In the course of the study, the main approaches to modeling the activities of the project team were described, as well as the features of the process of its formation were considered in detail. To model business activity at the conflict stage of team formation, a game-theoretic model of a hierarchical type was selected and adapted. The constructed model of team stimulation, as a kind of hierarchical game, allows us to consider the interaction of the management center both with the team as a whole and with individual participants. The adapted model is used in the task of finding a common team solution. Unlike the basic model, the adapted model does not use the type of each of the team members, which significantly reduces the amount of information needed for calculations, and also simplifies the calculations themselves. At the same time, information about the complexity of the task, the relationship between team members, as well as the priority of the task assigned to the participants was added to the basic model. In comparison with the empirical decision-making on incentives, the developed model allows the management center not only to achieve the tasks assigned to the project team with guarantee and on time, but also to use the company's monetary resources rationally.