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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A Genetic Algorithm for Integration Planning of Assembly Operation and Machine Layout
verfasst von : C. J. Chiang, Z. H. Che, Tzu-An Chiang, Zhen-Guo Che
Erschienen in: Computational Science and Its Applications – ICCSA 2010
Verlag: Springer Berlin Heidelberg
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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.