An Improved Genetic Algorithm for Digital Facility Layout Optimization Oriented Multi-Species and Variable-Batch Production Mode

Dao Guo Li; Zhao Xia Chen

doi:10.4028/www.scientific.net/AMR.694-697.3632

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697An Improved Genetic Algorithm for Digital Facility...

An Improved Genetic Algorithm for Digital Facility Layout Optimization Oriented Multi-Species and Variable-Batch Production Mode

Abstract:

When solving facility layout problem for the digital workshop to optimize the production, the traditional genetic algorithm has its flaws with slow convergence speed and that the accuracy of the optimal solution is not ideal. This paper analyzes those weak points and proposed an improved genetic algorithm according to the characteristics of multi-species and variable-batch production mode. The proposed approach improved the convergence speed and the accuracy of the optimal solution. The presented model of GA also has been tested and verified by simulation.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

3632-3635

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.3632

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Online since:

May 2013

Authors:

Dao Guo Li, Zhao Xia Chen

Keywords:

Facility Layout, Genetic Algorithm (GA), Material Handling Cost, Multi-Species and Variable-Batch

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References

[1] Balakrishnan JD, Cheng CH, Conway DG, Lau CM: submitted to International Journal of production Economic 86(2003)107-120

Google Scholar

[2] Sahni S, Gonzalez T E: submitted to Journal of Association for Computer Machinary. 1976，23(3)：555—565．

Google Scholar

[3] Qiao Long Yu,Hong Bin Sun, Jian Jun: submitted to Advanced Materials Research, v 591-593, pp.169-173, 2012, Manufacturing Engineering and Automation II

Google Scholar

[4] Ramazan Sahin : submitted to Expert Systems with Applications 38 (2011) 4460–4465

Google Scholar

[5] Kuan Yew Wong, Phen Chiak See : submitted to Engineering Computations: International Journal for Computer-Aided Engineering and Software. Vol. 27 No. 1, 2010.pp.117-128

DOI: 10.1109/iccce.2008.4580728

Google Scholar

[6] SUO Xiaohong, LIU Zhanqiang: submitted to Computer Integrated Manufacturing Systems.2007.13 (10): 1941-1951. (in Chinese).

Google Scholar