San Diego Sect 703

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This paper is being developed and maintained by Kim Niles, and it's a living paper in that any related comments, definitions, or stories you send to Kim will be added as appropriate.

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Definitions of SPC

 

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Statistical Process Control (SPC) is the equivalent of a histogram plotted on it's side over time. Every new point is statistically compared with previous points as well as with the distribution as a whole in order to assess likely considerations of process control (i.e. control, shifts, and trends). Forms with zones and rules are created and used to simplify plotting, monitoring, and decision making at the operator level. SPC separates special cause from common cause variation in a process at the confidence level built into the rules being followed (typically 99.73% or 3 sigma).

Statistical process control is the application of statistical methods to identify and control the special cause of variation in a process.

 


Basic SPC Information

 

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Who:  The process owner should be able to recognize when to add, monitor, change, and remove SPC charting of their processes.

What: Statistical Process Control (SPC) is the equivalent of a histogram plotted on it's side over time.  Every new point is statistically compared with previous points as well as with the distribution as a whole in order to assess likely considerations of process control (i.e. control, shifts, and trends).  Forms with zones and rules are created and used to simplify plotting, monitoring, and decision making at the operator level.  SPC separates special cause from common cause variation in a process at the confidence level built into the rules being followed (typically 99.73% or 3 sigma). 

Why: All processes have a tendency to shift and drift.  Key processes must be controlled and monitored to assure that they don't change.  SPC is often a great tool often used to effectively do that. 

Where:  SPC should be implemented on all key processes where the risk of losing control outweighs the cost of implementing SPC.  SPC costs include development of charts and process specific rules, training operators on SPC, and on-going data collection and monitoring costs.  

When:  SPC should be implemented ...  SPC should be updated as appropriate based on risks, samples needed, opportunities for change, etc. 

How:

How much:  

How is SPC Communicated:  

Training:  

Critical success factors:

Controlled:

Initial setup, sample size selection, on-going re-evaluation of control limits,

Collection of knowledge

The process of developing, applying, and re-evaluating SPC inititives should also be continuously improved upon. 


 

 

 


 

 

Please contact Kim Niles.

Personal Experience of Kim Niles.

 

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