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Energieorientierte Maschinenbelegungsplanung auf Basis evolutionärer Algorithmen

In: Operations Research Proceedings 2005

Author

Listed:
  • Markus Rager

    (Universität Augsburg)

  • Axel Tuma

    (Universität Augsburg)

  • Jürgen Friedl

    (Universität Augsburg)

Abstract

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.

Suggested Citation

  • Markus Rager & Axel Tuma & Jürgen Friedl, 2006. "Energieorientierte Maschinenbelegungsplanung auf Basis evolutionärer Algorithmen," Operations Research Proceedings, in: Hans-Dietrich Haasis & Herbert Kopfer & Jörn Schönberger (ed.), Operations Research Proceedings 2005, pages 559-564, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-32539-0_88
    DOI: 10.1007/3-540-32539-5_88
    as

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