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Energieorientierte Maschinenbelegungsplanung auf Basis evolutionärer Algorithmen

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Book cover Operations Research Proceedings 2005

Part of the book series: Operations Research Proceedings ((ORP,volume 2005))

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Zusammenfassung

Ziel des vorliegenden Beitrages ist es, die ökonomischen Einsparpotentiale einer energieorientierten Maschinenbelegungsplanung bei diskontinuierlichen Produktionsprozessen anhand eines Beispiels aus der Textilindustrie aufzuzeigen. Dazu wird das vorliegende Planungsproblem als resource levelling problem abgebildet. Der entwickelte, heuristische Lösungsansatz beruht auf einem evolutionären Algorithmus.

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Literatur

  1. Eiben AE, Smith JE (2003) Introduction to evolutionary computation. Springer, Berlin Heidelberg New York.

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Author information

Authors and Affiliations

  1. Lehrstuhl für Produktions- und Umweltmanagement, Universität Augsburg, 86135, Augsburg

    Markus Rager, Axel Tuma & Jürgen Friedl

Authors
  1. Markus Rager
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  2. Axel Tuma
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  3. Jürgen Friedl
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Editor information

Editors and Affiliations

  1. Institute of Shipping Economics and Logistics Dept. Logistics Systems, University of Bremen, Universitätsallee GW1 Block A, 28359, Bremen, Germany

    Hans-Dietrich Haasis

  2. Faculty of Business Studies and Economics Chair of Logistics, University of Bremen, PO Box 33 04 40, 28334, Bremen, Germany

    Herbert Kopfer  & Jörn Schönberger  & 

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© 2006 Springer-Verlag Berlin Heidelberg

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Rager, M., Tuma, A., Friedl, J. (2006). Energieorientierte Maschinenbelegungsplanung auf Basis evolutionärer Algorithmen. In: Haasis, HD., Kopfer, H., Schönberger, J. (eds) Operations Research Proceedings 2005. Operations Research Proceedings, vol 2005. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-32539-5_88

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