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

  • C. J. Chiang
  • Z. H. Che
  • Tzu-An Chiang
  • Zhen-Guo Che
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

assembly operation machine layout genetic algorithm 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • C. J. Chiang
    • 1
  • Z. H. Che
    • 1
  • Tzu-An Chiang
    • 2
  • Zhen-Guo Che
    • 3
  1. 1.Department of Industrial Engineering and ManagementNational Taipei University of TechnologyTaipeiTaiwan, ROC
  2. 2.Department of Commerce Automation and ManagementNational Pingtung Institute of CommerceTaiwan, ROC
  3. 3.Institute of Information ManagementNational Chiao Tung UniversityTaiwan, ROC

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