Abstract
Preventive maintenance is an important component of the ‘Industry 4.0 Concept’. Modern industry requires intelligent, autonomous and reliable manufacturing systems. Should a manufacturing system fail, it should be able to reorganise itself and put into effect a production plan, based on a scenario of selected activities. The problem is just how to predict possible failures and prepare scenarios for the behaviour of a system. With regard to the preventive maintenance system, potential failures can be modelled and then, by using computer simulation, based on simulation experiments, a database of maintenance knowledge can be created. In the paper, the methodology for the acquisition of maintenance knowledge, using the computer simulation method, is proposed. The example, put forward as an illustration, was prepared using Tecnomatix Plant Simulation software.
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Kłos, S. (2018). Knowledge Acquisition Using Computer Simulation of a Manufacturing System for Preventive Maintenance. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2018. Communications in Computer and Information Science, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-319-99972-2_3
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DOI: https://doi.org/10.1007/978-3-319-99972-2_3
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