Constructing cruise-ship hull is complex and requires precise metalwork, welding and assembly. Early anomaly detection and correction are vital for cost and time management. This paper presents a novel statistical quality control (SQC) methodology for monitoring the panel line in cruise-ship shipyards, i.e., one of the initial manufacturing workshops, with a relatively high level of automation. The proposed methodology adopts a standardized p control chart with samples of variable size, incorporating two elements: (i) it accounts for the high level of customization of panels, and (ii) it takes into consideration the measurement uncertainty associated with the large-volume metrology instrument employed for conformity verification (such as a state-of-the-art total station), following the ISO 14253-1:2017 standard. A real-world case study demonstrates its practical application.

A SQC proposal for monitoring the shipyard panel line / Maisano, DOMENICO AUGUSTO FRANCESCO; Trombini, Mattia; Pagani, Alfonso (SERIES ON ADVANCES IN MATHEMATICS FOR APPLIED SCIENCES). - In: Advanced Mathematical and Computational Tools in Metrology and Testing XIII / F. Pavese, A. Bošnjaković, S. Eichstädt, A.B. Forbes, and J.A. Sousa. - ELETTRONICO. - Singapore : World Scientific, 2025. - ISBN 9789819800667. - pp. 214-222 [10.1142/9789819800674_0019]

A SQC proposal for monitoring the shipyard panel line

domenico augusto Maisano;mattia Trombini;alfonso Pagani
2025

Abstract

Constructing cruise-ship hull is complex and requires precise metalwork, welding and assembly. Early anomaly detection and correction are vital for cost and time management. This paper presents a novel statistical quality control (SQC) methodology for monitoring the panel line in cruise-ship shipyards, i.e., one of the initial manufacturing workshops, with a relatively high level of automation. The proposed methodology adopts a standardized p control chart with samples of variable size, incorporating two elements: (i) it accounts for the high level of customization of panels, and (ii) it takes into consideration the measurement uncertainty associated with the large-volume metrology instrument employed for conformity verification (such as a state-of-the-art total station), following the ISO 14253-1:2017 standard. A real-world case study demonstrates its practical application.
2025
9789819800667
9789819800674
Advanced Mathematical and Computational Tools in Metrology and Testing XIII
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2995125
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