Abstract
The task of operational planning of production is considered. The hierarchy of tasks of production planning is described. The formulation of the problem in terms of scheduling theory is given. A model for solving the problem of operational planning as an adaptive system is proposed. The software agent architecture is chosen, local and global goals of the adaptive system are formed. The use of the apparatus of fuzzy sets in the determination of the agent state is justified. Computational experiments were carried out and the results obtained were analyzed.
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Acknowledgment
This research is supported by the grant from the Russian Foundation for Basic Research (project# 16-01-00715, 17-01-00627).
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Gladkov, L.A., Gladkova, N.V., Gromov, S.A. (2019). Hybrid Approach to Solving the Problems of Operational Production Planning. In: Silhavy, R. (eds) Artificial Intelligence and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-91189-2_41
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DOI: https://doi.org/10.1007/978-3-319-91189-2_41
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