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.
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 quali- fied 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.
作者
赵子任
杜世昌
黄德林
任斐
梁鑫光
ZHAO Ziren DU Shichang HUANG Delin REN Fei LIANG Xinguang(School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China Shanghai Aerospace Manufacture Co. , Ltd. , Shanghai 200245, China)
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2017年第10期1166-1173,共8页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金项目(51275558)
国家科技重大专项(2014ZX04015-021)
上海航天技术研究院-上海交通大学航天先进技术联合研究中心项目(12GFZ-JJ08-011)资助
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
transient phase
multi-stage manufacturing system
Markovian model
product quality
bot-tleneck identification
作者简介
赵子任（1993-），男，河南省商丘市人，硕士生，主要从事制造系统质量控制等研究．
杜世昌（联系人），男，副研究员，博士生导师，电话（Tel．）：021-34206783；E-mail：lovbin@sjtu．edu．cn．
