工业工程 ›› 2017, Vol. 20 ›› Issue (1): 83-90.doi: 10.3969/j.issn.1007-7375.e15-1581

• 实践与应用 • 上一篇    下一篇

带分段环形路径AGV的制造系统排队网建模与分析

刘建军, 陈庆新, 毛宁, 俞爱林   

  1. 广东工业大学 广东省计算机集成制造重点实验室, 广东 广州 510006
  • 收稿日期:2015-12-14 出版日期:2017-02-28 发布日期:2017-03-13
  • 作者简介:刘建军(1989-),男,湖南省人,硕士研究生,主要研究方向为生产计划与控制.
  • 基金资助:
    国家自然科学基金资助项目(51375098,61573109);广东省自然科学基金资助项目(2014A030310313)

Queuing Network Modeling and Analysis of Manufacturing System with AGV with Multi-section-annular Path

LIU Jianjun, CHEN Qingxin, MAO Ning, YU Ailin   

  1. Key Laboratory of Computer Integrated Manufacturing System of Guangdong Province, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2015-12-14 Online:2017-02-28 Published:2017-03-13

摘要: 针对含物料自动运输环节(automated material handling unit,AMHU)的个性化定制生产系统性能分析问题,文章着重考虑其随机批量运输的特点,提出了该系统的开排队网建模方法。对含AMHU的生产系统进行了描述,并建立其排队网模型;采用改良状态空间分解法,建立了节点状态空间模型,求解并计算出生产系统的性能指标值;与生产系统仿真模型的实验结果进行对比,验证了所提方法的精确性和有效性,为进一步优化配置该类生产系统的资源奠定了基础。

关键词: 排队网, AMHU(物料自动运输单元), 随机批量, 马尔科夫过程, 状态空间分解法

Abstract: It is difficult to analyze the performance of customized manufacturing system with Automated Material Handling Unit (AMHU) by traditional open queuing network model with finite buffers. Focused on the random lot size of handling, a queuing network modeling method was put forward. Firstly, the system was described and the queuing network model was built. Secondly, the model of corresponding state space of each node was developed based on the improved state space decomposition method, and the performance further obtained. Finally, experiments to assess the effectiveness and the accuracy of the proposed method were reported by comparing the results with simulation. This study can provide a basis for further optimization on similar manufacturing system.

Key words: queuing network, AMHU (automated material handling unit), random lot size, Markov process, state space decomposition method

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