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The PCB Insertion Assembly Optimization and Its Demonstration Research Based on Ant Colony Algorithm

Author: TianNa
Tutor: JinZhiHong
School: Dalian Maritime University
Course: Transportation Planning and Management
Keywords: Printed circuit board Traveling Salesman Problem Ant Colony Algorithm Optimal Scheduling
CLC: TN41
Type: Master's thesis
Year: 2008
Downloads: 78
Quote: 0
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Abstract


Electronics manufacturing technology continues to evolve, resulting in increasingly shorter electronic products market. In order to maintain our competitive edge in the fierce market competition to achieve a high return on economic goals, and to meet the requirements of the customers high grade, high consumer satisfaction, electronics manufacturers do everything possible to improve production efficiency to reduce production costs. Component assembly on the printed circuit board (Printed Circuit Board, PCB) assembly lines is the bottleneck of the entire production line, determines the efficiency of the whole production line. So how to optimize the components assembly, has become the concern of enterprises and research scholars. Early in the assembly process optimization is complete artificial empirically. In recent years, the equipment suppliers also supplied some of the ways, but are relatively simple, imperfect and impractical. Address the problem, the ant colony algorithm distributed parallel computing capabilities, self-organization and positive feedback characteristics of ant colony optimization algorithm, extending the idea to the components assembled optimization problem, a new mathematical model and optimization algorithm . The innovation of this paper is: based on the mechanical properties of the machine and working principle, distribution and components in the feed tank assembly sequence is the same premise, the assembly sequence of components into the traveling salesman problem (Traveling Salesman Problem TSP), established on the basis of a mathematical model of the shortest total production time as the objective function, at the same time in order to overcome the basic ant colony algorithm easy to fall into local optimum, calculate the longer shortcomings, the introduction of a heuristic algorithm-2-opt method improved ant colony algorithm and the optimal solution of the optimization algorithm to solve the assembly sequence of components. The paper first outlines the PCB assembly technology, details the main types of PCB assembly and the corresponding process; second section describes the basic principles of ant colony algorithm, parameter setting, and on this basis against TSP mathematical modeling and building structure flowchart; once again a detailed analysis of the PCB assembly optimization system, the application of improved ant colony algorithm, design and programming of the optimization program; Finally, based on the actual production data, the use of Matlab computer language a series of simulation experiments, the results show that based on this article The scheduling scheme proposed model and optimization algorithm can effectively improve PCB assembly production efficiency, shorten the production time.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Microelectronics, integrated circuit (IC) > Printed circuit
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