License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.09261.5
URN: urn:nbn:de:0030-drops-21616
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2009/2161/
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Kallrath, Josef

Aspects and Views on Mathematical Optimization in Logistics in the Chemical Process Industry

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Abstract

In large chemical companies, traffic logistics and supply chain
logistics contain many decision problems which are suitable to be
solved by mathematical optimization. The objectives are to exploit
resources (traffic infrastructure such as roads and rail lines,
production equipment) in a cost optimal way and to maximize profit.

We present two cases: optimal sequences of rail cars in trains
visiting various plants in a large company complex, and
production and distribution planning. Finally, we discuss the importance
of data structure and the consequences of differences between the
"booking world" view of systems such as SAP and the "physical world"
mapped into mathematical optimization models.

BibTeX - Entry

@InProceedings{kallrath:DagSemProc.09261.5,
  author =	{Kallrath, Josef},
  title =	{{Aspects and Views on Mathematical Optimization in Logistics in the Chemical Process Industry}},
  booktitle =	{Models and Algorithms for Optimization in Logistics},
  pages =	{1--4},
  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/2009/2161},
  URN =		{urn:nbn:de:0030-drops-21616},
  doi =		{10.4230/DagSemProc.09261.5},
  annote =	{Keywords: Logistics, traffic, supply chain, role of data, planning systems, data interfacing to SAP}
}

Keywords: Logistics, traffic, supply chain, role of data, planning systems, data interfacing to SAP
Collection: 09261 - Models and Algorithms for Optimization in Logistics
Issue Date: 2009
Date of publication: 02.10.2009

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