Results 221 to 230 of about 705,570 (265)

The statistical monitoring of a complex manufacturing process

Journal of Applied Statistics, 2001
This paper describes the development of a multivariate statistical process performance monitoring scheme for a high-speed polyester film production facility. The objective for applying multivariate statistical process control (MSPC) was to improve product consistency, detect process changes and disturbances and increase operator awareness of the impact
M. Weighell, E. B. Martin, A. J. Morris
openaire   +2 more sources

Review of multivariate statistical process monitoring

2010 8th World Congress on Intelligent Control and Automation, 2010
A comprehensive literature survey of multivariate statistical process monitoring methods of recent years is presented. Principle component analysis based methods are reviewed according to their emphases on either data attributes, such as missing value, outliers, nonlinear, time-varying, serial correlation, non-Gaussian distribution and multi-scale, or ...
null Xiang Xie, null Hongbo Shi, null Wen Yang   +2 more
openaire   +1 more source

A critique on the use of the belief statistic for process monitoring

Quality and Reliability Engineering International
AbstractRecently, several control charts have been proposed in the statistical process monitoring literature based on a belief statistic. In this article we compare the zero‐state average run‐lengths and conditional expected delay profiles of the exponentially weighted moving average (EWMA) and belief statistic‐based (BSB) charts.
Abdul Haq, William H. Woodall
openaire   +1 more source

Statistical weld process monitoring and interpretation

Proceedings of 1994 IEEE Industry Applications Society Annual Meeting, 2002
A statistical process control tool is described that provides weld quality control and documentation by implementing techniques of data trending analysis, tolerance analysis, and sequential analysis. The SPC tool has been used in combination with an arc data acquisition and monitoring system for industrial weld quality assurance.
G.E. Cook, J.E. Maxwell, R.J. Barnett, F.M. Thompson   +3 more
openaire   +1 more source

STATISTICAL PROCESS MONITORING OF BIOREACTORS: A COMPARISON

IFAC Proceedings Volumes, 2007
Abstract Batch processes, such as fermenters, generally require high levels of consistency in their operation to ensure minimal losses of raw materials and product. Recent application studies have indicated that multivariate statistical technology can provide some support when trying to maintain consistent operation in complex batch processes.
Wu Long, Ognjen Marjanovic, Barry Lennox
openaire   +1 more source

FEEDBACK CONTROL AND STATISTICAL PROCESS MONITORING

International Journal of Reliability, Quality and Safety Engineering, 1996
In the industrial world, different methodologies have been applied to reduce variability. Engineers whose training is in the quality assurance sciences have frequently used statistical process control (SPC) whereas engineers whose background includes control theory have employed engineering process control (EPC), often in the form of feedback control.
J. BERT KEATS, DOUGLAS C. MONTGOMERY, GEORGE C. RUNGER, WILLIAM S. MESSINA   +3 more
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Multivariate Statistical Process Control and Process Performance Monitoring

IFAC Proceedings Volumes, 1998
Abstract Multivariate Statistical Process Performance Monitoring (MSPPM) provides a diagnostic tool for the monitoring and detection of process malfunctions for continuous and batch manufacturing processes. This paper initially reviews the concept of process performance monitoring through an industrial application to a fluidised bed-reactor and a ...
E.B. Martin, A.J. Morris, C. Kiparissides   +2 more
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

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