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工程设计学报
工程设计学报  2013, Vol. 20 Issue (3): 199-207    
工程设计理论、方法与技术     
基于Plant Simulation的航空综合机加厂房布局仿真研究
 张超, 李慧, 田恺
中国航空规划建设发展有限公司 工程技术研究院，北京 100120
Research on aerospace integrated machining facility layout based on Plant Simulation
 ZHANG  Chao, LI  Hui, TIAN  Kai
Engineering & Technology Research Institute， China Aviation Planning and Construction Development Co., Ltd.， Beijing 100120， China
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摘要： 科学的生产设置布局规划对航空制造业降低生产成本、提高产品质量尤为重要.以某民用航空发动机传动系统的齿轮和机匣综合加工厂房的规划设计为例，根据厂房设施布置的一般原则，以齿轮和机匣的年产量目标、产品加工工艺、单工艺加工面积需求为设计输入，并考虑各加工区的加工特点而带来的位置约束性，采用遗传算法与模拟退火算法相结合的混合遗传算法为优化工具，将特定的功能区固化在基因串特定的位置上来满足位置约束．计算得出优化方案后，以Plant Simulation为仿真平台，建立该综合机加厂房的仿真模型，从产量满足率、设备利用率、在制品库存量和生产线稳健性等多个指标进行了设施布局的仿真评价．结果表明，优化后的系统能够很好满足生产纲领，各关键设备负载比较均衡，同时维持低水平的在制品库存量，且生产线稳健性较好．因此，综合运用混合遗传算法与Plant Simulation仿真可以为生产设施布局问题给出一种有效、直观的解决方案，且由离散事件仿真获取的评价指标能深刻体现方案的优劣．
关键词： 生产系统;  设施布局;  混合遗传算法;  Plant Simulation    
Abstract: A scientifically sound layout design was critically important for an aerospace manufacturing facility whose survival largely depended on low production costs and highquality products. The case of layout design of an integrated machining facility， which produces gears and housings for drive system on civil aeroengine， was taken as an example. Complying with the general principles for facility layout， with annual output of gears and housings， processing technic and area requirements for single process were taken as inputs for design， the basic layout plan was designed and optimized via hybrid genetic algorithm which was constructed by combining the genetic algorithm and simulated annealing algorithm. Meanwhile， the constraints of each processing unit， brought into being by the characteristics of each processing technics， were also considered， which was achieved by fixing specific function zones upon certain locations of a genetic string compulsively. When the optimization of a layout plan was finished， it was modeled based on Plant Simulation. And then the performance of the plan was comprehensively evaluated according to a few key performance factors， such as output rate， equipment utilization rate， storage of semifinished articles and robustness of production line. The results showed that the optimized layout could meet the output demands， the loads of key equipment were basically balanced and low level of storage of semifinished articles was maintained. Hence， the combined utilization of hybrid genetic optimization and discrete event simulation can make the effective ocular solution for production facility layout problems. Also， the advantages and disadvantages can be thoroughly assessed via the key performance factors which are obtained through discrete event simulation．
Key words: production system    layout design    hybrid genetic algorithm    Plant Simulation
出版日期: 2013-06-28
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张超
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引用本文:

张超, 李慧, 田恺. 基于Plant Simulation的航空综合机加厂房布局仿真研究[J]. 工程设计学报, 2013, 20(3): 199-207.

ZHANG Chao, LI Hui, TIAN Kai. Research on aerospace integrated machining facility layout based on Plant Simulation. Chinese Journal of Engineering Design, 2013, 20(3): 199-207.

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https://www.zjujournals.com/gcsjxb/CN/    或    https://www.zjujournals.com/gcsjxb/CN/Y2013/V20/I3/199

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