Journal of Shanghai Jiaotong University ›› 2017, Vol. 51 ›› Issue (10): 1166-1173.doi: 10.16183/j.cnki.jsjtu.2017.10.003

Previous Articles     Next Articles

 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:

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

CLC Number: