Research on the Facilities Layout Planning in MTO Manufacturing Industry Based on Genetic Algorithm

Ying Wang; You Rong Li; Yu Qiong Zhou

doi:10.4028/www.scientific.net/AMR.842.695

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 842Research on the Facilities Layout Planning in MTO...

Research on the Facilities Layout Planning in MTO Manufacturing Industry Based on Genetic Algorithm

Abstract:

To enlarge production to meet the market demand, its nessasery to improve the present facility layout for MTO (Make-To-Order) manufacturing enterprises. This paper tries to design a optimization method based on genetic algorithm for the facility layout of MTO enterprises. Firstly, SLP (systematic layout planning) was applied to analyze the material and non-material flow interrelation of the workshop. Secondly, a relatively optimum layout was determined after using fuzzy hierarchy estimation to evaluate the schemes. Then the scheme was optimized with genetic algorithm. The result shows that the optimized logistics transport load is obviously less than before. This design method based on genetic algorithm (GA) is proved feasible and effective in the optimization of facility layout.

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Periodical:

Advanced Materials Research (Volume 842)

Pages:

695-702

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.842.695

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Online since:

November 2013

Authors:

Ying Wang*, You Rong Li, Yu Qiong Zhou

Keywords:

Facility Layout, Fuzzy Hierarchy Estimation, Genetic Algorithm (GA), SLP

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References

[1] PTaho Yang, Chih—Ching Hung．Multiple—attribute Decision Making Methods for Plant Layout Design Problem[J]．Robotics and Computer-Integrated Manufacturing, 2007, 23(1): 126-137.

DOI: 10.1016/j.rcim.2005.12.002

Google Scholar

[2] Taho Yang. Multiple-attribute decision making methods for plant layout design problem[J], Robotics and Computer-Integrated Manufacturing, 2007, 23(1): 126~137.

DOI: 10.1016/j.rcim.2005.12.002

Google Scholar

[3] Ayman Abu Hammad, Makarand Hastak and Matt Syal．Comparative Study of Manufactured Housing Production Systems[J]．Journal of Architectural Engineering, 2004, 12: 136-142.

DOI: 10.1061/(asce)1076-0431(2004)10:4(136)

Google Scholar

[4] Tompkins J A．Facility Planning[M]．New York：John Wiley, (1996).

Google Scholar

[5] Curtis F.E. and Nocedal J., Flexible penalty functions for nonlinear constrained optimization, IMA J. Numer. Anal., 2008, 28(4): 749–769.

DOI: 10.1093/imanum/drn003

Google Scholar

[6] Birgin E. and Mart´ınez J., Augmented lagrangian method with nonmonotone penalty parameters for constrained optimization, Computational Optimization and Applications, 2012, 51: 941–965.

DOI: 10.1007/s10589-011-9396-0

Google Scholar

[7] Byrd R., Lopez-Calva G., and Nocedal J., A line search exact penalty method using steering rules, Mathematical Programming, 2012, 133: 39–73.

DOI: 10.1007/s10107-010-0408-0

Google Scholar