SP-0427: The use of Statistical Process Control (SPC) to monitor processes

Managing Software Process Improvement (SPI) through Statistical Process Control (SPC)

Measurement based software process improvement is nowadays a mandatory activity. This implies continuous process monitoring in order to predict its behavior, highlight its performance variations and, if necessary, quickly react to them. Process variations are due to common causes or assignable ones. The former are part of the process itself while the latter are due to exceptional events that re...

Use of Statistical Process Control (SPC) Versus Traditional Statistical Methods in Dow Corning Personal Care Applications

The basis for traditional “statistical inference” is the assumption of statistical stability. However, observations indicate that this assumption is often incorrect and has significant limitations for the study of skin and hair systems. This paper focuses on the use of analytic statistical analysis versus enumerative statistical analysis for evaluating data from experiments and product studies....

Combination of Statistical Process Control (SPC) methods and classification strategies for situation assessment of batch processes

The paper focuses on the development of a classification strategy to identify critic situation in batch process control. Data acquired from a batch execution is reduced by means of multiway principal component analysis in order to be assessed according to the statistical model of the process. Multiple situations have been categorized by a classification algorithm applied to the principal compon...

SPC: Practical Understanding of Capability by Implementing Statistical Process Control

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A New Control Chart to Monitor Mean Shifts of Bi-Variate Quality Control Processes