to check the process variation.
Explain the difference between capability and control.
Special Cause
Perhaps the most characteristic tool of statistical quality control is the control chart. In its simplest form the control chart is a continuous record of some feature of a process that is deemed to indicate whether that process is 'in control' or not. As long as the control chart shows that the process is within, say, three standard deviations of its mean behaviour it will be considered 'in control'; otherwise not, and steps to correct it taken.Before this system can be put into operation experimentation will be necessary, which implies the need for experimental design. One the system is in place, attempts are often made to find ways of improving the process under control to reduce the number of departures outside the control limits, or to narrow the limits.Please see the link.
A statistical technique used to eliminate variance in dependent variables caused by extraneous sources. In evaluation research, statistical controls are often used to control for possible variation due to selection bias by adjusting data for program and control group on relevant characteristics.
Unfortunately,there is no importance ot statistical quality control in weight variation test of capsule.
Explain the difference between capability and control.
Can improve our process,
statistical process control
SQC or statistical quality control is concerned with using the 7-QC and 7-SUPP tools to monitor process outputs. Statistical process control, or SPC is concerned with monitoring the inputs of the process.
in statistical process control you can make bars and charts as an activity, control charts, process capability, ishikawa diagrams and pareto charts. you can also find controlled variables and chart them to see they're progress based on your experiment.
C. S. M. Harris has written: 'Review of principles, techniques and benefits of statistical process control' -- subject(s): Statistical methods, Process control
Derek Bissell has written: 'Statistical methods for SPC and TQM' -- subject(s): Process control, Quality control, Statistical methods
It detects the presence of special causes of variation.
Qualification to work in Statistical Process Control would include ample mathematics skills, computer skills, and data analysis skills. Also a very good eye for detail.
SEE; poke-yoke (error proofing) process capability statistical process control
"In Control" does not mean goodStatical Process Control (SPC) will only help address changes that drive a process "out of control". An "in control" process is unrelated to whether or not the units it produces are acceptable. This concept often leads to the misapplication of statistical process control. That said, when properly understood and applied, SPC can be a power tool for addressing process changes before they result in lost produce.SPC is non-value added, it invested cost on man power is the biggest disadvantage. The advantage is SPC can give you high confidence level on the quality.
Fred W. Kear has written: 'Printed circuit assembly manufacturing' -- subject(s): Printed circuits, Design and construction 'Statistical process control in manufacturing practice' -- subject(s): Statistical methods, Quality control, Process control