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An algorithm portfolio approach to reconfigurable set-up planning
Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, 721302, W Bengal, India.
Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, 721302, W Bengal, India.
Department of Industrial Engineering, Indian Institute of Technology, Kharagpur, 721302, W Bengal, India.
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
2011 (English)In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 24, no 8, 756-768 p.Article in journal (Refereed) Published
Abstract [en]

This article discusses an algorithm portfolio approach to find optimal set-up plans in a dynamic shop floor environment where flexibility and promptness of the decision process is critical along with best possible utilisation of the available resources. An evolutionary algorithm based reconfigurable set-up planning approach is presented where the final set-up plan is determined in two steps: primitive set-up planning through feature grouping and reconfigurable set-up merging based on real time information from the scheduling system. The tendency of single algorithm approach to converge to sub-optimal solutions was countered by using portfolios of genetic algorithm and its three variants: Genetic Algorithm with Chromosome Differentiation, Sexual Genetic Algorithm and a modified version of Age Genetic Algorithm. Best performing portfolios selected after exhaustive experimentation showed dramatic computational improvements in achieving the optimal solution validating the appropriateness and effectiveness of algorithm portfolio approach.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2011. Vol. 24, no 8, 756-768 p.
Keyword [en]
reconfigurable set-up planning, algorithm portfolio, CNC machining
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-5570DOI: 10.1080/0951192X.2011.579166ISI: 000296271800006Scopus ID: 2-s2.0-79960771006OAI: oai:DiVA.org:his-5570DiVA: diva2:507232
Available from: 2012-03-02 Created: 2012-03-01 Last updated: 2012-12-14Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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