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The Research on Workshop Planning Problem Based on Genetic Algorithm

Author: YuWenZhou
Tutor: QinHuiFang；LiuChangAn
School: Shandong University
Course: Mechanical Design and Theory
Keywords: Planning workshop Equipment layout Material Handling Genetic Algorithms System Simulation
CLC: TP18
Type: Master's thesis
Year: 2010
Downloads: 196
Quote: 2
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Abstract


With the development of technology and globalization, market formation, the original manufacturing enterprises are facing greater competitive pressure. Organizers of the workshop is the production of the manufacturing system plays an important role. After a well-planned workshop production system that can effectively reduce production costs, increase productivity, accelerate responsiveness to the market, thereby increasing the efficiency of enterprises, workshop planning in the enterprise has been more and more attention. This paper describes the development process of the workshop planning and research, analyzed the existing problems. The workshop introduces the basic theory of planning, the establishment of a workshop for the machine shop optimization model, the workshop optimization algorithm are analyzed and research, and write a program to be realized. In this thesis, the workshop can be simplified geometric model, based on the analysis of the various elements of the model as well as the relationship between them, in order to optimize logistics costs as a goal, namely to establish single-channel and multi-channel workshop layout workshop mathematical model: Analysis workshop material handling situation in order to optimize the cost of the minimum targets established material handling mathematical model. Using genetic algorithms to optimize plant layout model. Respectively for single and multi-channel layout workshop using improved genetic coding and decoding strategies that chromosome by different types of three gene segments; design and optimization of the objective function associated with the fitness function, the items containing the penalty factor deal with illegal chromosomal problems; designing appropriate selection, crossover and mutation genetic operators, the population of each chromosome segment corresponding genes were processed separately using different methods for computing them; analysis of the genetic algorithm parameters to study with the actual operation of each the impact of parameters on the entire algorithm to select the best parameters: analysis algorithm convergence problems, the use of the genetic elite preservation strategy to ensure convergence. Material flow analysis workshop to establish the flow of material in the workshop model, material handling model is improved and simplified processing, and finally through numerical analysis algorithms to optimize the workshop material handling problems. Using VB 6.0 development tools, combined with SQL Sever2000 database, programming on the Windows platform to achieve the above algorithm. Machine interaction methods employing the equipment and logistics data operation, the operation results are displayed in the user interface and stored in the database table; in MATLAB 7.0 environment using MATLAB language 'programming genetic algorithm, and show iterative convergence process; to intermediate file as a bridge to achieve data between MATLAB and VB communications, computing the results stored in the database; call data in the database for handling bulk materials calculated display the results using VB 6.0 graphical controls to draw two-dimensional layout workshop for plant designers.

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory
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