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DOI: 10.4230/DagSemProc.09261.24
URN: urn:nbn:de:0030-drops-21864
URL: https://drops.dagstuhl.de/opus/volltexte/2009/2186/
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Dangelmaier, Wilhelm ; Degener, Bastian

Production planning and control with discrete lotsizing and a rolling horizon

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09261.DangelmaierWilhelm.Paper.2186.pdf (0.2 MB)


Abstract

We consider a production system with discrete lotsizing as it is given in the automotive índustry. At any point of time only orders in the near future are known, but still the production has to be planned - leading to rolling horizons. Decisions that are made today should avoid bottlenecks in stock and capacity that will handicap future production. First we discuss approaches used in computing. Second we propose an approach that perform with good competivity compared to an optimal algorithm that knows the entire sequence of orders in advance.


BibTeX - Entry

@InProceedings{dangelmaier_et_al:DagSemProc.09261.24,
  author =	{Dangelmaier, Wilhelm and Degener, Bastian},
  title =	{{Production planning and control with discrete lotsizing and a rolling horizon}},
  booktitle =	{Models and Algorithms for Optimization in Logistics},
  pages =	{1--15},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9261},
  editor =	{Cynthia Barnhart and Uwe Clausen and Ulrich Lauther and Rolf H. M\"{o}hring},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2009/2186},
  URN =		{urn:nbn:de:0030-drops-21864},
  doi =		{10.4230/DagSemProc.09261.24},
  annote =	{Keywords: Online optimization, rolling horizon, lot size production, production planning and control}
}

Keywords: Online optimization, rolling horizon, lot size production, production planning and control
Collection: 09261 - Models and Algorithms for Optimization in Logistics
Issue Date: 2009
Date of publication: 02.10.2009


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