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International Conference on Computational Science and Its Applications

ICCSA 2010: Computational Science and Its Applications – ICCSA 2010 pp 533–543Cite as

A Genetic Algorithm for Integration Planning of Assembly Operation and Machine Layout

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6017))

Abstract

This study is intended to examine the issue regarding the integration of assembly operations and machine layouts. For this issue, we consider a scenario of multiple orders and therefore build up an optimized mathematical model of synchronous planning. In the study, we develop an optimization mathematical model that uses a genetic algorithm (GA) for finding solutions and identify the most proper parameter value that best fit the GA by means of the experimental design. Ultimately, we use a case for a methodological application and the result shows that the GA may effectively integrate assembly operations and machine layouts for finding solutions.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Management, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei, 106, Taiwan, ROC

    C. J. Chiang & Z. H. Che

  2. Department of Commerce Automation and Management, National Pingtung Institute of Commerce, 51 Min-Sheng E. Road, Pingtung, 900, Taiwan, ROC

    Tzu-An Chiang

  3. Institute of Information Management, National Chiao Tung University, 1001, University Rd., Hsinchu, 300, Taiwan, ROC

    Zhen-Guo Che

Authors
  1. C. J. Chiang
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  2. Z. H. Che
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  3. Tzu-An Chiang
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  4. Zhen-Guo Che
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Editor information

Editors and Affiliations

  1. Monash University, Clayton School of Information Technology, VIC 3800, Clayton, Australia

    David Taniar

  2. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, L.I.S.U.T. - D.A.P.I.T., Viale dell’Ateneo Lucano 10, 85100, Potenza, Italy

    Beniamino Murgante

  4. Department of Computer Science and Computer Engineeering, LaTrobe University, VIC 3086, Bundoora, Australia

    Eric Pardede

  5. Department of Intelligent Informatics, Kyushu Sangyo University, 813-8503, Fukuoka, Japan

    Bernady O. Apduhan

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© 2010 Springer-Verlag Berlin Heidelberg

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Chiang, C.J., Che, Z.H., Chiang, TA., Che, ZG. (2010). A Genetic Algorithm for Integration Planning of Assembly Operation and Machine Layout. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2010. ICCSA 2010. Lecture Notes in Computer Science, vol 6017. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12165-4_42

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  • DOI: https://doi.org/10.1007/978-3-642-12165-4_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12164-7

  • Online ISBN: 978-3-642-12165-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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