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 themost recentmanufacturing applications for the production of small lots of customized products or processes characterized by frequent changeovers. Aquantitative 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.

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

Celano, Giovanni
Membro del Collaboration Group
;
2020-01-01

Abstract

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 themost recentmanufacturing applications for the production of small lots of customized products or processes characterized by frequent changeovers. Aquantitative 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.
2020
control chart, generalized extreme value distribution, random Gaussian process, statistical performance
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/380579
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