This paper introduces a novel functional control chart that extends the classical exponentially weighted moving average (EWMA) control chart from univariate scalar data to multivariate functional data. Through extensive Monte Carlo simulations, the proposed control chart demonstrates superior performance compared to competing monitoring schemes. Its practical utility is illustrated through a case study in automotive manufacturing, where it is employed to monitor the quality of resistance spot welding processes by analyzing dynamic resistance curves.
An EWMA Control Chart for Multivariate Functional Data / Capezza, Christian; Capizzi, Giovanna; Centofanti, Fabio; Lepore, Antonio; Palumbo, Biagio. - (2025), pp. 328-333. ( 52nd Scientific Meeting of the Italian Statistical Society Bari, Italia 17-20 June 2024) [10.1007/978-3-031-64431-3_55].
An EWMA Control Chart for Multivariate Functional Data
Christian Capezza
;Fabio Centofanti;Antonio Lepore;Biagio Palumbo
2025
Abstract
This paper introduces a novel functional control chart that extends the classical exponentially weighted moving average (EWMA) control chart from univariate scalar data to multivariate functional data. Through extensive Monte Carlo simulations, the proposed control chart demonstrates superior performance compared to competing monitoring schemes. Its practical utility is illustrated through a case study in automotive manufacturing, where it is employed to monitor the quality of resistance spot welding processes by analyzing dynamic resistance curves.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
