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An Analysis of the Efficiency of a Parallel-Serial Manufacturing System Using Simulation

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Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 835))

Abstract

The efficiency of discrete manufacturing systems and the level of work-in-progress are most important topics, especially for producers of automotive parts. In the present paper, an analysis of the throughput and average product lifespan of a parallel, serial manufacturing system, with varied buffer allocations and operating times, is presented. A model of the manufacturing system has been prepared using Tecnomatix Plant Simulation Software. This study was conducted using theoretical data sets and various statistical distributions of processing times. The main goal of the research was to analyse the impact of buffer allocation on the behaviour of a general, parallel manufacturing system. The methodology for preparing simulation experiments is here proposed.

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Authors and Affiliations

  1. University of Zielona Góra, Licealna 9, 65-417, Zielona Góra, Poland

    Sławomir Kłos & Justyna Patalas-Maliszewska

Authors
  1. Sławomir Kłos
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  2. Justyna Patalas-Maliszewska
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Corresponding author

Correspondence to Sławomir Kłos .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Anna Burduk

  2. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Edward Chlebus

  3. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Tomasz Nowakowski

  4. Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

    Agnieszka Tubis

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Kłos, S., Patalas-Maliszewska, J. (2019). An Analysis of the Efficiency of a Parallel-Serial Manufacturing System Using Simulation. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-319-97490-3_4

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