scholarly journals Redesign of Facility Layout with Graph Method and Genetic Algorithm in Wood Manufacturing Plant

2019 ◽  
Vol 1230 ◽  
pp. 012046
Author(s):  
U Tarigan ◽  
G Y Herdita ◽  
U P P Tarigan
Keyword(s):  
Genetic Algorithm ◽  
Facility Layout ◽  
Manufacturing Plant ◽  
Graph Method ◽  
Wood Manufacturing

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

2013 ◽  
Vol 842 ◽  
pp. 695-702
Author(s):  
Ying Wang ◽  
You Rong Li ◽  
Yu Qiong Zhou
Keyword(s):  
Genetic Algorithm ◽  
Manufacturing Industry ◽  
Design Method ◽  
Facility Layout ◽  
Optimization Method ◽  
Market Demand ◽  
Layout Planning ◽  
Manufacturing Enterprises ◽  
Make To Order ◽  
Systematic Layout Planning

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.

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

2013 ◽  
Vol 694-697 ◽  
pp. 3632-3635
Author(s):  
Dao Guo Li ◽  
Zhao Xia Chen
Keyword(s):  
Genetic Algorithm ◽  
Facility Layout ◽  
Optimal Solution ◽  
Convergence Speed ◽  
Improved Genetic Algorithm ◽  
Layout Problem ◽  
Batch Production ◽  
Production Mode ◽  
Slow Convergence ◽  
Weak Points

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.

A genetic algorithm for facility layout problems

1998 ◽  
Vol 11 (1-2) ◽  
pp. 113-127 ◽  
Author(s):  
K.L. Mak ◽  
Y.S. Wong ◽  
F.T.S. Chan
Keyword(s):  
Genetic Algorithm ◽  
Facility Layout

Single row facility layout problem using a permutation-based genetic algorithm

2011 ◽  
Vol 213 (2) ◽  
pp. 388-394 ◽  
Author(s):  
Dilip Datta ◽  
André R.S. Amaral ◽  
José Rui Figueira
Keyword(s):  
Genetic Algorithm ◽  
Facility Layout ◽  
Layout Problem ◽  
Facility Layout Problem ◽  
Single Row
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