his.sePublications
Change search
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
Evolutionary optimization of robotic assembly operation sequencing with collision-free paths
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
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.
2011 (English)In: Journal of manufacturing systems, ISSN 0278-6125, Vol. 30, no 4, 196-203 p.Article in journal (Refereed) Published
Abstract [en]

Many problems in the lifecycle of product and production development (PPD) can be formulated as optimization problems. But in most of the real-world cases, they are too complex to be solved by analytical models or classical optimization methods. CAx and virtual manufacturing (VM) tools are on the other hand being employed to create virtual representation of products and processes before any physical realization is conducted. Synergy of these two domains is of interest in this paper where planning a process with the minimum cycle-time for assembling a spot welded sheet-metal product is desired. The methodology suggests an extendible virtual manufacturing-based optimization approach using evolutionary algorithms. Accordingly, a novel toolset with integration of evolutionary optimization and a commercial VM environment is developed. More specifically, the latest feature which takes advantage of the collision avoidant segment path planning functionality of the VM tool and integrates it with the sequence optimizer is described. (C) 2011 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
Elsevier, 2011. Vol. 30, no 4, 196-203 p.
Keyword [en]
Optimization, Operation sequence planning, Collision-free path planning, Virtual manufacturing
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-5516DOI: 10.1016/j.jmsy.2011.08.003ISI: 000297185200003Scopus ID: 2-s2.0-80054715937OAI: oai:DiVA.org:his-5516DiVA: diva2:512580
Available from: 2012-03-28 Created: 2012-03-01 Last updated: 2015-12-18Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Givehchi, MohammadNg, AmosWang, Lihui
By organisation
The Virtual Systems Research CentreSchool of Technology and Society
In the same journal
Journal of manufacturing systems
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 731 hits
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