RJMM Does, R Goedhart… - Quality and Reliability …, 2020 - Wiley Online Library
When designing control charts the in‐control parameters are unknown, so the control limits have to be estimated using a Phase I reference sample. To evaluate the in‐control …
Multivariate statistical process control (MSPC) addresses the concurrent monitoring of several measurements. Since multivariate normality is rare in practice, nonparametric …
G Li, Q Xiao, G Dai, Q Wang, L Bai, X Zhang, X Zhang… - Physica medica, 2023 - Elsevier
Purpose To assess the effect of sampling variability on the performance of individual charts (I-charts) for PSQA and provide a robust and reliable method for unknown PSQA processes …
M Meireles - Revista da Micro e Pequena Empresa, 2021 - dialnet.unirioja.es
Para se descrever adequadamente um objeto se faz uso de atributos, obviamente atributos que sejam adequados à sua descrição. O termo atributo vem do latim attributio com o …
Parameter estimation is an important topic in Statistical Process Monitoring, as inaccurate estimates may lead to undesirable control chart performance. Updating the control chart …
D Sarkar - Materials Today: Proceedings, 2022 - Elsevier
This paper aims at exploring the applications of advanced Statistical Process Control (SPC) tool like Cumulative Sum (CUSUM) with V-mask for monitoring of advanced materials of …
HJ Yang, CI Li - Quality Engineering, 2024 - Taylor & Francis
This article aims to enhance the effectiveness of Phase I in statistical process monitoring by integrating the assessment of estimation uncertainty into control charts using the …
As a useful tool in statistical process control (SPC), the exponential control chart is more and more popular for monitoring high‐quality processes. Considering both known and estimated …
The Phase I stage plays a crucial role in process monitoring schemes, as it is during this stage that valuable information about the process is obtained. However, many available …