Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Simulation Optimization for Industrial Scheduling Using Hybrid Genetic Representation
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.ORCID iD: 0000-0002-4086-3877
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.ORCID iD: 0000-0003-0111-1776
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
2008 (English)In: Proceedings of the 2008 Winter Simulation Conference / [ed] S. J. Mason, R. R. Hill, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler, IEEE conference proceedings, 2008, p. 2004-2011Conference paper, Published paper (Refereed)
Abstract [en]

Simulation modeling has the capability to represent complex real-world systems in details and therefore it is suitable to develop simulation models for generating detailed operation plans to control the shop floor. In the literature, there are two major approaches for tackling the simulation-based scheduling problems, namely dispatching rules and using meta-heuristic search algorithms. The purpose of this paper is to illustrate that there are advantages when these two approaches are combined. More precisely, this paper introduces a novel hybrid genetic representation as a combination of both a partially completed schedule (direct) and the optimal dispatching rules (indirect), for setting the schedules for some critical stages (e.g. bottlenecks) and other non-critical stages respectively. When applied to an industrial case study, this hybrid method has been found to outperform the two common approaches, in terms of finding reasonably good solutions within a shorter time period for most of the complex scheduling scenarios.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2008. p. 2004-2011
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-2865ISI: 000274496201031Scopus ID: 2-s2.0-60749101234ISBN: 978-1-4244-2708-6 OAI: oai:DiVA.org:his-2865DiVA, id: diva2:208274
Conference
2008 Winter Simulation Conference, WSC 2008, Miami, FL, United States, 7 December 2008 through 10 December 2008
Available from: 2009-03-17 Created: 2009-03-17 Last updated: 2017-11-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

ScopusExternal link to full text

Authority records

Andersson, MarcusNg, AmosGrimm, Henrik

Search in DiVA

By author/editor
Andersson, MarcusNg, AmosGrimm, Henrik
By organisation
School of Technology and SocietyThe Virtual Systems Research Centre

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 1685 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf