Abstract
The paper contributes to design of autonomous cyber-physical multi-agent systems for adaptive resource management providing increase of efficiency of business operating in uncertain and dynamic environment. Evolution of multi-agent systems from purely decision-making support and simulation tool to cyber-physical system including Digital Twins and fully autonomous systems is analyzed. The main paper contribution is the proposed conceptual framework for designing autonomous cyber-physical multi-agent systems for adaptive resource management. It is shown in the paper that, in cyber-physical multi-agent systems for adaptive resource management, the ontology-customized multi-agent engine and ontology-based model of enterprise are forming ontology-driven “Digital Twin” of the enterprise providing opportunity to combine operational scheduling of resources with ongoing real-time simulations and evolutional re-design of configuration of enterprise resources. The functionality and architecture of the autonomous cyber-physical multi-agent systems for adaptive resource management are developed to support for the full cycle of autonomous decision making on resource management. Time metrics for measuring event-based response time and level of adaptability of autonomous cyber-physical multi-agent systems for adaptive resource management are proposed. Results of developments can be applied for smart transport and smart manufacturing, smart agriculture, smart logistics, smart supply chains, etc.
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This work is fulfilled with the financial support of the Ministry of Education and Science of the Russian Federation – contract № 14.578.21.0137, project unique ID is RFMEFI57815X013.
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Gorodetsky, V.I., Kozhevnikov, S.S., Novichkov, D., Skobelev, P.O. (2019). The Framework for Designing Autonomous Cyber-Physical Multi-agent Systems for Adaptive Resource Management. In: Mařík, V., et al. Industrial Applications of Holonic and Multi-Agent Systems. HoloMAS 2019. Lecture Notes in Computer Science(), vol 11710. Springer, Cham. https://doi.org/10.1007/978-3-030-27878-6_5
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