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GA-based Adaptive Setup Planning with Machine Tool Capability and Availability
2007 (English)In: Transactions of the North American Manufacturing Research Institution of SME, ISSN 1047-3025, Vol. 35, p. 25-32Article in journal (Refereed) Published
Abstract [en]

In a machine shop, setup planning of a part for more than one available machine is a typical combinatorial optimization problem under certain constraints. Targeting adaptability of setup plans for multiple machines, an across-machine setup planning approach using genetic algorithms is presented in this paper, including (1) gene pool generation, (2) setup plan encoding and fitness evaluation, and (3) optimal setup plan selection through GA operations. The proposed approach is implemented In a GA toolbox, and tested by a sample part. The results demonstrate that this approach is not only applicable to machines with varying configurations, but also adaptive to shop floor schedule changes due to uncertainty.

Place, publisher, year, edition, pages
2007. Vol. 35, p. 25-32
Keywords [en]
Adaptive setup planning; Genetic algorithms (GA); Tool accessibility; Tool orientation space
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-205856Scopus ID: 2-s2.0-34547948913OAI: oai:DiVA.org:kth-205856DiVA, id: diva2:1090578
Note

QC 20170426

Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2017-05-03Bibliographically approved

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Wang, Lihui

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