Abstract
Computer simulation is a very important method for studying the behaviour of discrete manufacturing systems. This paper presents the results of simulation research and how buffer capacity, allocated in a manufacturing system, influence the throughput and work-in-progress. The simulation model of the manufacturing system is prepared using Tecnomatix Plant Simulation Software. The impact of individual buffers on the effectiveness of the system is analysed using the artificial neural networks module included in the software package. Simulation experiments were prepared for different capacities of intermediate buffers, located between manufacturing resources as input parameters with the throughput per hour and the average life span of products as the output parameter. A methodology for improving of the effectiveness of the system is proposed.
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Kłos, S., Patalas-Maliszewska, J. (2019). An Analysis of Simulation Models in a Discrete Manufacturing System Using Artificial Neural Network. In: Machado, J., Soares, F., Veiga, G. (eds) Innovation, Engineering and Entrepreneurship. HELIX 2018. Lecture Notes in Electrical Engineering, vol 505. Springer, Cham. https://doi.org/10.1007/978-3-319-91334-6_43
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DOI: https://doi.org/10.1007/978-3-319-91334-6_43
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Online ISBN: 978-3-319-91334-6
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