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Showing 1 to 20 of 122 for “"statistical process control"”.
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Statistical process control by quantile approach.
Most quality control and quality improvement procedures involve making assumptions about the distributional form of data it uses; usually that the data is normally distributed. It is common place to find processes that generate data which is non-normally distributed, e.g. Weibull, logistic or …
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Statistical process control of stationary processes
… between optimal EWMAST and optimal ARMAST control charts. The optimal EWMAST control chart is adequate when u is not high positive with small mean shift.
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Statistical process control performance characterization under field conditions
Performance characterization of SPC technology is necessary in order to assess the impact of potential SPC strategies and actions. In this research a simulation-based tool (SPClab) is defined, designed and developed that can be used to study SPC options and its performance characteristics, …
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A statistical process control approach for network intrusion detection
… Charts can be applied two ways: by using actual control limits or by using robust control limits. The actual control limits must be determined by simulation, but the robust control limits require nothing more than the use of the recommended limits. The robust MBM Shewhart chart was developed …
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Some Contributions to Tolerance Intervals and Statistical Process Control
Tolerance Intervals play an important role in statistical process control along with control charts. When constructing a tolerance interval or a control chart for the mean of a quality characteristic, the normality assumption can be justifiable at least in an approximate sense. However, in …
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NOVEL APPROACHES FOR STATISTICAL PROCESS CONTROL CHARTS PATTERN RECOGNITION
Fast and accurate recognition of the Statistical Control Chart Patterns (SPCCP) is significant for supervising manufacturing processes to accomplish better control and to make high value products. SPCCP can display eight kinds of patterns: normal, stratification, systematic, increasing trend, …
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Statistical process control approach to reduce the bullwhip effect
… a quantitative solution in the form of a Statistical Process Control (SPC) based inventory management system is proposed that reduces the bullwhip effect while reducing inventory without compromising service level requirements for a variety of products. The strength of this methodology is …
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Contributions to Profile Monitoring and Multivariate Statistical Process Control
… number of cases the quality of a product or process cannot adequately be represented by the distribution of a univariate quality variable or the multivariate distribution of a vector of quality variables. Rather, a series of measurements are taken across some continuum, such as time or space, …
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Statistical process control in stamping process using pattern recognition approach
Unnatural process variation (UPV) is a vital quality problem in the metal-stamping process that contributes to the causes of poor product quality. In the production site, sources of UPV are usually found based on special causes. Recently, there are still debates amongst researchers to find an …
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Statistical process control charts for the computer-aided fabrication environment
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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An Approach to Neuro-Fuzzy Feedback control in Statistical Process Control
It is a difficult challenge to develop a feedback control system for Statistical Process Control (SPC) because there is no effective method that can be used to calculate the accurate magnitude of feedback control actions in traditional SPC. Suitable feedback adjustments are generated from the …
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Leveraging Statistical Process Control for continuous improvement of the manufacturing process
Statistical Process Control (SPC) has been applied to manufacturing processes for several decades as a means of ensuring product quality and has become a primary tool for the application of continuous improvement efforts. Continued Process Verification (CPV) is a Food and Drug Administration …
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Dynamic risk adjustment of prediction models using statistical process control methods
… predictors are useful to the decision making process in patient care. Many models, such as the score of neonatal physiology (SNAP II) that predicts in-hospital mortality, have been well validated on several large populations. However, the performance profile of such models in the midst of …
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Advanced Statistical Process Control Techniques for Analysis of Medical Linear Accelerator Performance
Statistical Process Control (SPC) is an approach to measure normal and abnormal variations of a process. Its success rests upon the fact that any process can be mapped by a series of inputs and outputs. SPC techniques are displayed using process behavior charts which are graphs that contain data …
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Statistical process control with special reference to multivariable processes and short runs
The quest for control and the subsequent pursuit of continuous quality improvement in the manufacturing sector, due to increasingly keen competition, has stimulated interest in statistical process control (SPC). Whilst traditional SPC techniques are well suited to the mass production industries, …
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A nonparametric change point model for multivariate phase-II statistical process control.
Phase-II statistical process control (SPC) procedures are designed to detect a change in distribution when a possibly never-ending stream of observations is collected. Extensive study has been conducted with the purpose of detecting a shift in location (e.g. mean or median) when univariate …
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Nonparametric Multivariate Statistical Process Control Using Principal Component Analysis And Simplicial Depth
… has been progress in the area of Multivariate Statistical Process Control (MSPC), there are numerous limitations as well as unanswered questions with the current techniques. MSPC charts plotting Hotelling's T2 require the normality assumption for the joint distribution among the process …
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Improvement of Statistical Process Control at St. Jude Medical's Cardiac Manufacturing Facility
… In order for companies to reach six sigma, statistical process control (SPC) needs to be introduced. SPC has many different tools associated with it, control charts being one of them. Control charts play a vital role in managing how a process is behaving. Control charts allow users to …
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