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Spot-welding sequence planning and optimization using a hybrid rule-based approach and genetic algorithm
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.ORCID iD: 0000-0003-0111-1776
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
2011 (English)In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, Vol. 27, no 4, 714-722 p.Article in journal (Refereed) Published
Abstract [en]

Performing assembly planning to find a valid hierarchical assembling structure of a product (i.e. Manufacturing Bill of Materials or MBOM) based on the constraints and necessities inferred from or declared by different sources is potentially complicated. On the other hand, Engineering Changes (EC) may drastically affect the constraints and necessities which the planning of an MBOM was based on. Managing ECs to evaluate and propagate their effects on the upstream data used in assembly planning and downstream activities and information is crucial but problematic. Often it is possible to define a set of rules for the constraints and necessities of assembly planning and find solutions or check validity of solutions based on the rule-set. This paper proposes a rule-based assembly planning method and introduces the concepts and standard notations on how structured rule-sets can be derived from descriptive rules and then used in an algorithm for generating or validating MBOMs. The method was partially automated and successfully employed along with a commercial Virtual Manufacturing package integrated with an in-house developed GA-based sequence optimizer and applied to the sequence optimization in minimizing the cycle time of the robotic spot welding operations for a sheet-metal assembly found in automotive industry. (C) 2011 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
Elsevier, 2011. Vol. 27, no 4, 714-722 p.
Keyword [en]
Spot-welding, Sequence planning, Optimization, Robotics, GA, Rule-based approach
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-5532DOI: 10.1016/j.rcim.2010.12.008ISI: 000291458900008Scopus ID: 2-s2.0-79955665038OAI: oai:DiVA.org:his-5532DiVA: diva2:510926
Available from: 2012-03-19 Created: 2012-03-01 Last updated: 2015-12-18Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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