Abstract
The paper describes the structure of a decision support for the industrial equipment maintenance and repair (MR) process based on multi-agent systems and fuzzy logic based on neural networks. The solutions of agent system‘s basic subsystems and interaction mechanisms are described. The stages of the maintenance and repair organization continuous improvement process are described. The multi-agent system model was developed and examined on example of road equipment repair. Obtained results are allows to perform the equipment maintenance and repair much better.
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Denisov, M., Kizim, A., Kamaev, V., Davydova, S., Matohina, A. (2014). Solution on Decision Support in Determining of Repair Actions Using Fuzzy Logic and Agent System. In: Kravets, A., Shcherbakov, M., Kultsova, M., Iijima, T. (eds) Knowledge-Based Software Engineering. JCKBSE 2014. Communications in Computer and Information Science, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-11854-3_46
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DOI: https://doi.org/10.1007/978-3-319-11854-3_46
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