journal article·2025-05-12Open access

AI-Supported Decision Making in Multi-Agent Production Systems Using the Example of the Oil and Gas Industry

Polina A. Sharko, Zhanna V. Burlutskaya, Daria A. Zubkova, Aleksei M. Gintciak, Kapiton N. Pospelov

Applied Sciences· Volume 15· Issue 10

Abstract

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.
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Research context

OpenAlex topics: Modeling, Simulation, and Optimization · Business Process Modeling and Analysis · Scheduling and Optimization Algorithms

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Laboratory of Digital Modeling of Industrial Systems, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia

Funding

Ministry of Science and Higher Education of the Russian Federation

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