Abstract
The Industry 4.0 concept assumes the implementation of predictive maintenance as an integral part of manufacturing systems. The parallel-serial manufacturing system includes groups of redundant resources. In the case of damage or malfunction, one or other of them could complete manufacturing operations. In this paper, an analysis of the performance and average lifespan of the products of the parallel-serial manufacturing system is presented, for different methods of material flow control. The parallel-serial manufacturing system is considered where the availability of resources and buffer capacity is the input value and the throughput and average lifespan of the products, that is, the time that their details remain in the system, is the output value. The performance of the system is analysed, using different dispatching rules which are allocated to the manufacturing resources. The simulation model of the system is created using Tecnomatix Plant Simulation.
This work is supported by program of the Polish Minister of Science and Higher Education under the name “Regional Initiative of Excellence” in 2019–2022, project no. 003/RID/2018/19, funding amount 11 936 596.10 PLN.
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Kłos, S., Patalas-Maliszewska, J. (2020). Using the Simulation Method for Modelling a Manufacturing System of Predictive Maintenance. In: Herrera-Viedma, E., Vale, Z., Nielsen, P., Martin Del Rey, A., Casado Vara , R. (eds) Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions. DCAI 2019. Advances in Intelligent Systems and Computing, vol 1004. Springer, Cham. https://doi.org/10.1007/978-3-030-23946-6_7
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