上海交通大学学报(自然版) ›› 2017, Vol. 51 ›› Issue (10): 1166-1173.doi: 10.16183/j.cnki.jsjtu.2017.10.003

• 兵器工业 • 上一篇    下一篇

 多工序制造系统暂态阶段产品质量
马尔科夫建模与瓶颈分析

 赵子任1,杜世昌1,黄德林1,任斐2,梁鑫光2   

  1.  1. 上海交通大学 机械与动力工程学院, 上海 200240;  2. 上海航天设备制造总厂, 上海 200245
  • 出版日期:2017-10-31 发布日期:2017-10-31
  • 基金资助:
     

 Modelling and Bottleneck Analysis of Product Quality in Transient  Phase
 of MultiStage Manufacturing Systems Based on Markovian Chains

 ZHAO Ziren1,DU Shichang1,HUANG Delin1,REN Fei2,LIANG Xinguang2   

  1.   1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;
    2. Shanghai Aerospace Manufacture Co., Ltd., Shanghai 200245, China
  • Online:2017-10-31 Published:2017-10-31
  • Supported by:
     

摘要:  以关联多工序制造系统为对象,综合考虑机器的暂态过程以及加工工序的关联性,构建了关联多工序制造系统暂态过程的马尔科夫质量分析模型,并对相关质量特性瓶颈参数进行了研究分析.通过F系列航天阀门多工序制造系统案例验证了提出的模型和分析方法的有效性.

关键词: 多工序制造系统, 暂态阶段, 马尔科夫模型, 产品质量, 瓶颈识别 

Abstract: Modern manufacturing systems usually adopt multistage and multiproduct production mode. When changing product type, due to the adjustment of fixture and craft, system goes through a transient phase. The phase can be long or short depending on parameters of the system, and affect the rate of qualified products seriously. There are many mature analysis methods and successful cases about steadystate, but lacking transient phase models which connect product quality and parameters of a system. In this paper, we focus on transient analysis of Markovian model of manufacturing systems. The transient phase of manufacturing system and the relevance of processing steps are analyzed, and a Markovian model of multistage manufacturing systems in transient phase is developed and some analysis is carried out for quality bottleneck parameters identification. The effectiveness of this model is validated by multistage manufacturing system of astronautic valve used in a domestic rocket manufacturing company.

Key words:  transient phase, multistage manufacturing system, Markovian model, product quality, bottleneck identification

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