License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CP.2021.16
URN: urn:nbn:de:0030-drops-153075
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/15307/
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Armstrong, Eddie ; Garraffa, Michele ; O'Sullivan, Barry ; Simonis, Helmut

The Hybrid Flexible Flowshop with Transportation Times

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LIPIcs-CP-2021-16.pdf (0.8 MB)

Abstract

This paper presents the hybrid, flexible flowshop problem with transportation times between stages, which is an extension of an existing scheduling problem that is well-studied in the literature. We explore different models for the problem with Constraint Programming, MILP, and local search, and compare them on generated benchmark problems that reflect the problem of the industrial partner. We then study two different factory layout design problems, and use the optimization tool to understand the impact of the design choices on the solution quality.

BibTeX - Entry

@InProceedings{armstrong_et_al:LIPIcs.CP.2021.16,
  author =	{Armstrong, Eddie and Garraffa, Michele and O'Sullivan, Barry and Simonis, Helmut},
  title =	{{The Hybrid Flexible Flowshop with Transportation Times}},
  booktitle =	{27th International Conference on Principles and Practice of Constraint Programming (CP 2021)},
  pages =	{16:1--16:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-211-2},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{210},
  editor =	{Michel, Laurent D.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/15307},
  URN =		{urn:nbn:de:0030-drops-153075},
  doi =		{10.4230/LIPIcs.CP.2021.16},
  annote =	{Keywords: Constraint Programming, scheduling, hybrid flowshop}
}

Keywords: Constraint Programming, scheduling, hybrid flowshop
Collection: 27th International Conference on Principles and Practice of Constraint Programming (CP 2021)
Issue Date: 2021
Date of publication: 15.10.2021
Supplementary Material: Dataset: https://zenodo.org/record/5168966

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