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Research on Shop Arrangement Optimization in SMT Flexible Manufacturing System

Author: ChengMeng
Tutor: JiangJianGuo
School: Xi'an University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Surface Mount Technology Workshop scheduling optimization Optimization algorithm Components allocation Line Balancing
CLC: TH165
Type: Master's thesis
Year: 2008
Downloads: 224
Quote: 2
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Abstract


Solve the long preparation time for the production of military electronic circuit assembly, many varieties of flexible production capacity to meet the demand for rapid development of weapons and equipment, it is necessary to carry out the scheduling optimization technology research workshop of flexible manufacturing systems for surface mount. Workshop scheduling optimization is one of the core issues in the production management, is the key to improve production efficiency in order to reduce the replacement mount adjustment downtime. Shop scheduling optimization problem is a combinatorial optimization problem, in recent years, many optimization algorithms have been applied to this area, but the effect is not very satisfactory, still need to continue to study. In-depth analysis of the SMT flexible manufacturing systems and the workshop production scheduling optimization problems, mainly reflected in: 1) are summarized and given three-tier model shop scheduling optimization, system level, the level of the production line and mount the device level optimization and detailed The first two models; 2) proposes a method of grouping the printed circuit board (PCB), to determine similarity PCB through the component pin pitch, so that the different types of PCB assigned to the corresponding configuration of the production line meet the actual production needs; 3) through the analysis of several simple priority scheduling algorithm proposed A composition priority scheduling algorithm, in order to sort the same type of PCB, to avoid the same problem ranking PCB; 4) the multiple Mounter allocated between the components of the model to design a suitable components to optimize the distribution of genetic algorithm, a rational allocation of production load between Mounter, eliminating the cycle time between the placement machine imbalance; 5) through the analysis of the advantages and disadvantages of genetic algorithms and simulated annealing algorithm is proposed genetic simulated annealing algorithm to solve the problem of the balance between the multiple production lines, improve the efficiency of the production line, reducing the total idle time of the production line. The optimization results show that, the PCB grouping method used in this program and sorting efficiency to achieve the expected results, reflect the superiority of the program. Algorithm designed to improve production efficiency, has important guiding significance and practical value. In subsequent research, will continue to complete the placement equipment level optimization of the production line to optimize the the combined scheduling optimization program, make the program more in line with production operations on the shop floor. The optimization of the production line level can be used with a smart search and global optimization ability of ant colony algorithm further study.

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CLC: > Industrial Technology > Machinery and Instrument Industry > Machinery Manufacturing Technology > Flexible manufacturing systems and flexible manufacturing cell
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