Petr Skobelev

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The application of multi-agent platform for real-time adaptive scheduling of trucks is considered. In case of unpredictable events the system works adaptively and doesn't stop to restart the plan from the beginning. Different models of cargo transportation for truck companies having own fleet are analysed. The results show that using adaptive scheduling in(More)
We introduce MAGENTA'S commercial multi-agent systems technology, and illustrate its practical use by describing a field-tested application in the area of logistics/scheduling. MAGENTA technology provides two integrated toolsets for building industrial-strength systems: the <i>Ontology Management Toolkit</i> (which enables designers to capture the concepts(More)
The paper describes main features of an Intelligent Scheduler for Road Transportation Applications based on Magenta agent technology and characterized by a number of unique, advanced features such as real-time, incremental, continuous scheduling and schedule improvement, scalability from small to very large enterprise networks, multi-criteria schedule(More)
This paper describes methodology, toolset and case studies of adaptive planning for supply chain networks based on the holistic approach, multi-agent technology and ontological modeling. The set of tools for the development of adaptive planners can be used for a wide range of applications. Case studies are included describing applications inr adaptive(More)