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Interpretation and optimization of material flow via system behavior reconstruction

  • Production Management
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Abstract

In this article, a method for a scalable autonomous data acquisition for an analysis and optimization of production systems based on interpretation of the material flow within small and medium-sized manufacturing enterprises is presented. The data is acquired locally and combined centrally to interpret the material flow as a basis for the optimization of the material flow as well as individual processes. When it is not completely observable for efficiency reasons or due to technical restrictions, one can also reconstruct relevant but unobservable system behavior based on system knowledge and actual measurements. A validation of the method is carried out in a company maintaining engines. The application of the model shows that with the presented method it is possible to reduce buffers in the production, optimize transportation routes and reduce waiting and therefore cycle times in job shop productions for an increasing productivity.

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Acknowledgments

The results presented have been developed within the scope of the Federal Ministry for Education and Research (BMBF) funded project “OptiBox—Automatisierte Optimierung von Produktionssystemen durch mobile und selbstlernende Analyseeinheiten” (Grant Number: 02PK3029).

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Authors and Affiliations

  1. Institut für Fertigungstechnik und Werkzeugmaschinen, Leibniz Universität Hannover, An der Universität 2, 30823, Garbsen, Germany

    Berend Denkena, Barbara Dengler & Karl Doreth

  2. Institut für Simulation und Graphik, Otto-von-Guericke-Universität Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany

    Claudia Krull & Graham Horton

Authors
  1. Berend Denkena
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  2. Barbara Dengler
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  3. Karl Doreth
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  4. Claudia Krull
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  5. Graham Horton
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Corresponding author

Correspondence to Karl Doreth.

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Denkena, B., Dengler, B., Doreth, K. et al. Interpretation and optimization of material flow via system behavior reconstruction. Prod. Eng. Res. Devel. 8, 659–668 (2014). https://doi.org/10.1007/s11740-014-0545-z

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  • DOI: https://doi.org/10.1007/s11740-014-0545-z

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