|edoc-Server der Humboldt-Universität zu Berlin|
Jitka Dupacová, Charles University Prague|
Pavel Popela, Brno University of Technology
|Title:||Melt control – Charge optimization via stochastic programming|
|Date of Acceptance:||14.01.2004|
Stochastic Programming E-Print Series |
|Editors:||Julie L. Higle; Werner Römisch; Surrajeet Sen|
|Metadata export: To export the complete metadata set as Endote or Bibtex format please click to the appropriate link.||Endnote Bibtex|
|print on demand: If you click on this icon you can order a print copy of this publication.|
|Diese Seite taggen: These icons lead to social bookmarking systems where you can create and manage personal bookmarks and discover bookmakrs of other users.|
|This paper introduces melt control as a good case for application of two- and multistage stochastic programming models. Sources of uncertainties are described and several methods of input generation are presented. The implementation based on real data compares decisions and costs obtained by solving stochastic programs with different numbers of stages and a different structure of the scenario tree. The results give a clear evidence in favor of the proposed stochastic programming methodology.|
These data concerning access statistics for individual documents
have been compiled using the webserver log files aggregated by AWSTATS.
They refer to a monthly access count to the full text documents as well as to the entry page.
As for format versions of a document which consist of multiple files (such as HTML) the highest monthly access number to one of the files (chapters) is shown respectivly.
To see the detailled access numbers please move the mouse pointer over the single bars of the digaram.
Gesamtzahl der Zugriffe seit Jul 2011: