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Impact of Machine-Driven Capacity Constellations on Performance and Dynamics of Job-Shop Systems

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Enabling Manufacturing Competitiveness and Economic Sustainability

Abstract

Machine-specific processing characteristics within job-shop systems result in differences regarding the machines’ capacities leading to heterogeneous overall capacity for the associated workshops. These capacity constellations influence the dynamics and the performance of the system. In this article, the impact of varying capacity constellations is studied by means of discrete-event simulation. For data analysis, simple logistics key figures as well as advanced concepts of nonlinear dynamics are applied. Following this approach, detailed insights are derived considering the impact of capacity constellations on the achievement of important performance measurements and on the system’s dynamics, e.g. regarding its dimensionality and predictability.

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Author information

Authors and Affiliations

  1. BIBA - Bremer Institut für Produktion und Logistik GmbH at the University of Bremen, Bremen, Germany

    C. Toonen, D. Lappe & B. Scholz-Reiter

  2. Research Domain IV, Potsdam Institute for Climate Impact Research, Potsdam, Germany

    R.V. Donner

Authors
  1. C. Toonen
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  2. D. Lappe
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  3. R.V. Donner
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  4. B. Scholz-Reiter
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Editor information

Editors and Affiliations

  1. Faculty of Engineering, Intelligent Manufacturing Systems, University of Windsor, Sunset Avenue 401, Windsor, N9B 3P4, Ontario, Canada

    Hoda A. ElMaraghy

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© 2012 Springer-Verlag Berlin Heidelberg

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Toonen, C., Lappe, D., Donner, R., Scholz-Reiter, B. (2012). Impact of Machine-Driven Capacity Constellations on Performance and Dynamics of Job-Shop Systems. In: ElMaraghy, H. (eds) Enabling Manufacturing Competitiveness and Economic Sustainability. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23860-4_100

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  • DOI: https://doi.org/10.1007/978-3-642-23860-4_100

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23859-8

  • Online ISBN: 978-3-642-23860-4

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