SPC

Statistical Process Control (SPC) a continuous improvement tool, is the practice of taking the measurable data from any process and arranging it in a manner that enables us to determine if the process is behaving as we might expect. In addition to being able to analyse the date that we get, we need to be assured that the data we have is accurate. To this end we need to assess the means of measurement and ensure that variation, due to measurement inaccuracies, are kept to a minimum.

Course Description

This course uses a number of simple case studies to provide the delegates with the opportunity of using and understanding attribute and measurable data control charts in an instructor facilitated environment.

The course looks at how SPC is used to move away from defect detection to defect prevention and continuous improvement and the links between SPC and Measurement Systems Analysis (MSA)

The Learning Gain

At the end of the course the delegates will be able to:-

	Demonstrate why variation within manufacturing must be eliminated.
	Explain how SPC can be used to eliminate variation.
	Understand how control charts are applied for measured and attribute data.
	Interpret the data plotted on control charts
	Explain the difference between 'special' and 'common' causes of variation.
	Demonstrate the need to detect and take action on out of control processes.
	Explain the importance of maintaining SPC charts at all times.
	Understand the links between SPC, MSA and capability.

Pre-Requisites

This course has no pre-requisites as such; but an understanding of basic maths will be an advantage. This course does not require the understanding or derivation of formulae.

This course can also be run as an Application Workshop. Click here for details

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