Markov modeling and analysis of multi-stage manufacturing systems with remote quality information feedback

被引：26

作者：

Du, Shichang ^{[1
,2
]}

Xu, Rui ^{[2
]}

Huang, Delin ^{[2
]}

Yao, Xufeng ^{[3
]}

机构：

[1] State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China

[2] Shanghai Jiao Tong Univ, Dept Ind Engn & Management, Sch Mech Engn, Shanghai 200240, Peoples R China

[3] Univ Illinois, Dept Mech & Ind Engn, Chicago, IL 60607 USA

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2015年 / 88卷

基金：

中国国家自然科学基金;

关键词：

Product quality; Markov model; Multi-stage manufacturing systems; Remote quality information feedback; DIMENSIONAL VARIATION PROPAGATION; ROOT-CAUSE IDENTIFICATION; VARIATION TRANSMISSION; MACHINING PROCESSES; MEAN SHIFTS; DESIGN; STREAM; IMPROVEMENT; DIAGNOSIS;

D O I：

10.1016/j.cie.2015.06.012

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Modeling and analysis of multi-stage manufacturing systems (MMSs) for product quality propagation have attracted a great deal of attention recently. Due to cost and resources constraints, MMSs do not always have ubiquitous inspection, and MMSs with remote quality information feedback (RQIF, i.e., quality inspection operation is conducted at the end of the production line) are widely applied. This paper develops a Markov model to analyze quality propagation in MMSs with RQIF. Analytical expressions of the final product quality are derived and the monotonicity properties are investigated. A quality bottleneck identification method is explored based on the proposed Markov model. The results of case study demonstrate the effectiveness of the proposed model. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：13 / 25

页数：13

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