Results 251 to 260 of about 2,332,068 (309)

A literature review on joint control schemes in statistical process monitoring

Quality and Reliability Engineering International, 2022
Z. Jalilibal, A. Amiri, M. Khoo
semanticscholar   +1 more source

Monitoring obstetricians’ performance with statistical process control charts

BJOG: An International Journal of Obstetrics & Gynaecology, 2007
Objective  The main objective of this study was to pave the way towards proactive, continuous assessment of individuals and hospitals by demonstrating the application of evidence‐based competency standards in maternity care using statistical performance monitoring.Design  Retrospective study using data routinely collected by a large maternity hospital ...
S, Lane, A, Weeks, H, Scholefield, Z, Alfirevic   +3 more
openaire   +2 more sources

Multivariate Statistical Process Monitoring Based on Statistics Pattern Analysis

Industrial & Engineering Chemistry Research, 2010
In this work, a new multivariate method to monitor continuous processes is developed based on the statistics pattern analysis (SPA) framework. The SPA framework was proposed recently to address some challenges associated with batch process monitoring, such as unsynchronized batch trajectories and multimodal distribution.
Jin Wang, Q. Peter He
openaire   +1 more source

Process performance monitoring usingmultivariate statisticalprocess control

IEE Proceedings - Control Theory and Applications, 1996
Summary: Statistical process control (SPC) is a tool for achieving and maintaining product quality. Classical univariate statistical techniques have focused on the monitoring of one quality variable at a time and are not appropriate for analysing process data where variables exhibit collinear behaviour.
Martin, E. B., Morris, A. J., Zhang, J.
openaire   +1 more source

The impact of process variability on Statistical Process Monitoring

2013 Conference on Control and Fault-Tolerant Systems (SysTol), 2013
Process simulators are widely used to develop and benchmark techniques for Statistical Process Monitoring (SPM). Typically, the simulators are deterministic and do not take process variability into account. However, modern processes in (bio)chemical industry focus on bio-based production with the help of microorganisms, and are, therefore, subject to ...
Geert Gins, Jef Vanlaer, Jan Van Impe
openaire   +1 more source

Monitoring Process Mean and Process Variance Using Collani's Statistic

Economic Quality Control, 2005
In this paper the use of Collani's T 2 0 statistic for monitoring simultaneously process mean and process variance is investigated by a comparison with the more popular ¯ X-R chart and ¯ X-S 2 chart, respectively. The comparison is performed by means of an economic design of the charts assuming two different situations with respect to the occurrence of
Osiris Turnes, Linda Lee Ho
openaire   +1 more source

Statistical process control and model monitoring

Journal of Applied Statistics, 1999
This paper is concerned with model monitoring and quality control schemes, which are founded on a decision theoretic formulation. After identifying unacceptable weaknesses associated with Wald, sequential probability ratio test (SPRT) and Cuscore monitors, the Bayes decision monitor is developed.
openaire   +1 more source

Statistical process monitoring based on dissimilarity of process data

AIChE Journal, 2002
AbstractMultivariate statistical process control (MSPC) has been widely used for monitoring chemical processes with highly correlated variables. In this work, a novel statistical process monitoring method is proposed based on the idea that a change of operating condition can be detected by monitoring a distribution of process data, which reflects the ...
Kano, M, Hasebe, S, Hashimoto, L, Ohno, H   +3 more
openaire   +1 more source

Monitoring the software test process using statistical process control

Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering, 2003
Statistical Process Control (SPC) is a powerful tool to control the quality of processes. It assists management personnel in the identification of problems and actions to be taken to bring a process into a stable state. SPC has been applied in various fields, including the Software Development Process.
Jo?o W. Cangussu, Raymond A. DeCarlo, Aditya P. Mathur   +2 more
openaire   +1 more source

Statistical Methods for Monitoring Service Processes

International Journal of Service Industry Management, 1994
The techniques of statistical process control (SPC) are designed to monitor production processes in order to prevent the production of waste and improve the quality of future output. The emphasis is on the prevention of problems before they occur instead of simply revealing and correcting past mistakes.
openaire   +2 more sources