Optimization Models of Mechanical Facility Layout Based on Genetic Algorithm

2012 ◽  
Vol 548 ◽  
pp. 677-681
Author(s):  
Dian Can Li
Keyword(s):  
Genetic Algorithm ◽  
Production System ◽  
Manufacturing Industry ◽  
Facility Layout ◽  
System Optimization ◽  
Layout Design ◽  
Optimization Models ◽  
New Production ◽  
Design And Optimization ◽  
Application Prospects

With the changes in the way of the manufacturing, more and more enterprises managers and engineers and technicians begin to attach importance to the facility layout issues. The facility layout includes new production system design and the existing production system optimization. Therefore, there are broad application prospects in studying on the issues of facility design and optimization of manufacturing industry. This essay, based on the survey and analysis and summary of layout issues of facilities of manufacturing industry, and based on systematical layout design methods, conducts designs of facilities in manufacturing industry and studies the applications of the genetic algorithm in the facility layout and optimization in manufacturing industry.

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.

scholarly journals Rancangan Tata Letak Fasilitas Produksi Produk Rehabilitasi Dengan Algoritma Genetika

2019 ◽  
Vol 16 (3) ◽  
pp. 73
Author(s):  
Steaven Leonardo Chandra ◽  
Theresia Sunarni ◽  
Kristoforus Jawa Bendi ◽  
Dominikus Budiarto
Keyword(s):  
Genetic Algorithm ◽  
Production System ◽  
Layout Design ◽  
Production Volume ◽  
Production Facility ◽  
Total Flow ◽  
Facility Layout Design ◽  
Machine Layout ◽  
Section Production ◽  
Optimal Machine

The layout of production facilities has a very important impact and interrelationship between facilities with each other to support the smoothness of the production process.Frequently the biggest problems in the production system are caused by unsystematic handling of materials. This study, applies a genetic algorithm to obtain a facility layout design (machine) optimally. Inputs from this study include machine numbers, machine dimensions, machine sequences in each section, production volume in each section, and flow frequency in each section. The output of this study is the machine layout with a minimum total flow cost. This study solved the case in the rehab product production facility at PT Shima Prima Utama which consisting of 16 machines and 29 components. The results of the study in this case are that the optimal machine placement sequence is 13, 3, 9, 15, 6, 10, 2, 12, 8, 16, 7, 1, 11, 5, 14 and 4 with a total flow cost of 197,434.

scholarly journals Facility layout design using a multi-objective interactive genetic algorithm to support the DM

2013 ◽  
Vol 32 (1) ◽  
pp. 94-107 ◽  
Author(s):  
Laura García-Hernández ◽  
Antonio Arauzo-Azofra ◽  
Lorenzo Salas-Morera ◽  
Henri Pierreval ◽  
Emilio Corchado
Keyword(s):  
Genetic Algorithm ◽  
Facility Layout ◽  
Layout Design ◽  
Interactive Genetic Algorithm ◽  
Facility Layout Design ◽  
Multi Objective

Cellular facility layout problem: a case of tower manufacturing industry

2019 ◽  
Vol 30 (6) ◽  
pp. 1345-1360
Author(s):  
Ravi Kumar ◽  
Surya Prakash Singh
Keyword(s):  
Lead Time ◽  
Material Handling ◽  
Manufacturing Industry ◽  
Facility Layout ◽  
Layout Design ◽  
Manufacturing Cost ◽  
Content Type ◽  
Cellular Layout ◽  
Long Run ◽  
Time Periods

Purpose In today’s competitive market, product demand and its mix frequently vary due to various uncertainties, which thus imparts the overall manufacturing cost. Furthermore, uncertainties also impart the layout design in manufacturing industries in the long run. Therefore, the layout design needs to capture the possibility of uncertainties, and these uncertainties must be captured while designing the layout of a facility. Hence, an efficient facility layout design minimizes the manufacturing cost and lead time. The purpose of this paper is to propose a cellular layout design for a tower manufacturing industry. Design/methodology/approach The paper develops an embedded simulated annealing-based meta-heuristic to solve proposed cellular layout under different scenarios considering single and multi-time periods for tower manufacturing industry. A comparative study is also performed to analyze comparison among static cellular layout, a dynamic cellular layout or a robust stochastic cellular layout for the tower manufacturing industry. Findings The current layout of the industry is a process layout. Here, the layout for a tower manufacturing industry is proposed under SCFLP, DCFLP and RSCFLP. The proposed models and solution methodology is tested using six scenarios with different combination of time periods. Lastly, OFV value obtained for all the scenarios is compared, and it is found that RSCFLP outruns other SCFLP and DCFLP for a tower manufacturing industry. Based on the above study, it is also concluded that RSCFLP is an efficient and effective layout in tower manufacturing industry. Originality/value The paper proposes a cellular layout design for a tower manufacturing industry. The cellular layout design is found to be preferred over the traditional layout as it reduces material handling cost, manufacturing lead time and hazards. Moreover, it enhances productivity and quality.

CNC Machine Shop Floor Facility Layout Design Using Genetic Algorithm

2020 ◽  
pp. 223-234
Author(s):  
S. M. Vadivel ◽  
A. H. Sequeira ◽  
Sunil Kumar Jauhar ◽  
K. S. Amirthagadeswarn ◽  
T. Aravind Krishna
Keyword(s):  
Genetic Algorithm ◽  
Facility Layout ◽  
Layout Design ◽  
Shop Floor ◽  
Cnc Machine ◽  
Machine Shop ◽  
Facility Layout Design
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