Gauge capability studies for high-density data: SPC Phase 0

In manufacturing, advanced measurement systems (e.g., 3D laser scanners) are continually being incorporated into modern quality control (QC) systems to provide high-density (HD) data. A significant amount of research efforts has been placed in the development of QC tools, such as Phase I and II statistical process control (SPC) approaches using HD data. However, the effectiveness of SPC tools highly depends on measurement system adequacy. The study of the quality and adequacy of a measurement system, known as measurement capability or Phase 0 in SPC applications, is a prerequisite to implementing any SPC tool; which has mostly been neglected for HD data. This paper proposes a holistic Gauge study approach for HD data obtained from 3D laser scanners (e.g. point clouds) by using spatial statistics data models. The main objectives of this work are two-fold: 1) Study how to analyse the repeatability and reproducibility of a point cloud and 2) Quantify the uncertainty associated with a point cloud under different factors involved in acquiring point clouds from 3D laser scanners.

• Tipo de recurso: Article of journal
• Fecha de publicación: 2020
• Institución: Universidad de Bogotá Jorge Tadeo Lozano
• Repositorio: Expeditio: repositorio UTadeo
• Idioma: eng
• OAI Identifier: oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/13104
• Acceso en línea: https://www.sciencedirect.com/science/article/pii/S235197892031475X; http://hdl.handle.net/20.500.12010/13104; https://doi.org/10.1016/j.promfg.2020.05.026
• Palabra clave: Quality 4.0; Gauge study; 3D laser scanners; Spatial statistics; Síndrome respiratorio agudo grave; COVID-19; SARS-CoV-2; Coronavirus
• License: Acceso restringido