Programme of Wednesday, 21 June

Index

Invited Session
Statistical Process Monitoring for Complex Data in Industry 4.0
Organizer/Chair: Christian Capezza (Università di Napoli Federico II)
Discussant: Alessandro Fassò, (Università degli studi di Bergamo)
Room: T36
Floor: ground
Short summary: The session addresses the challenges of monitoring and improving industrial processes in the context of Industry 4.0, where data are increasingly complex and high-dimensional. Talks cover advanced statistical techniques for anomaly detection, which are crucial for maintaining quality control and optimizing production processes. Attendees will gain insights into practical applications of statistical process monitoring and learn how to deal with complex data in Industry 4.0.

#	Papers
1.	A Kernel-based Nonparametric Multivariate CUSUM for Location Shifts Author(s)  Konstantinos Bourazas   Konstantinos Fokianos   Christos Panayiotou   Marios Polycarpou
2.	An Approach for Profile Monitoring via Mixture Regression Models Author(s)  Davide Forcina   Antonio Lepore   Biagio Palumbo
3.	Anomaly Detection in Circular Data Author(s)  Houyem Demni   Giovanni Porzio