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On‐line monitoring of extreme values of geometric profiles in finite horizon processes
Author(s) -
Celano Giovanni,
Castagliola Philippe
Publication year - 2020
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2631
Subject(s) - control chart , statistical process control , chart , stability (learning theory) , quality (philosophy) , computer science , production line , gaussian , line (geometry) , shewhart individuals control chart , process (computing) , engineering , industrial engineering , mathematical optimization , mathematics , ewma chart , statistics , machine learning , mechanical engineering , philosophy , physics , geometry , epistemology , quantum mechanics , operating system
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.