On-line monitoring of extreme values of geometric profiles in finite horizon processes

被引：2
|
作者：
Celano, Giovanni [1 ]
Castagliola, Philippe [2 ,3 ]
机构：
[1] Univ Catania, Dipartimento Ingn Civile & Architettura, Catania, Italy
[2] Univ Nantes, Nantes, France
[3] LS2N UMR CNRS 6004, Nantes, France
来源：
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | 2020年 / 36卷 / 04期
关键词：
control chart; generalized extreme value distribution; random Gaussian process; statistical performance; CONTROL CHART; SURFACES; PRODUCT;
D O I：
10.1002/qre.2631
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
We investigate the challenges to be faced by quality practitioners to implement a control chart for individuals aimed at monitoring the stability of maximum/minimum realizations of profile quality features. We consider the situation where only a limited amount of inspections can be scheduled, which is typical of the most recent manufacturing applications for the production of small lots of customized products or processes characterized by frequent changeovers. A quantitative study on simulated profiles described by functional data modelled as random Gaussian fields is provided. Finally, we discuss how the proposed control chart can be implemented in a canning process.
引用
收藏
页码：1313 / 1332
页数：20
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