The paper deals with the questions of how to develop the automated planning systems that are fast enough to be used in real-time management of supply networks, considering the manual plan corrections by the users. Several practical situations and planning system use cases are considered. The paper proposes several methods that allow the increase of the data processing speed in practical cases. The methods include parallel data processing, dynamic control of the solutions space depth search, self-regulation of the system behavior based of the specifics of the data processed.
CITATION STYLE
Tsarev, A. (2019). Multi-agent Supply Planning Methods Allowing the Real-Time Performance of the Supply Network Management Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11710 LNAI, pp. 81–95). Springer. https://doi.org/10.1007/978-3-030-27878-6_7
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