Statistical Process Control

Introduction

	Have you implemented Statistical Process Control (SPC)?
	Are your operators using SPC effectively?
	Are you using the right control chart?
	Are you operators making the right interpretations?
	Can you hold the gains of your quality improvements?

SPC (II) can track and hold the gains from quality improvement activities. This course has a practical hands-on approach in numerical computation for manufacturing or service. This course enables the delegates to understand the use of variable (Precontrol, X-bar R) and attribute (d, p, c and u) data. They will also learn of the implementation, interpretation and use control charts.

Benefits Of Attending The Course

The course enables the delegates to:

	Monitor a process to ensure quality proactively.
	Identify sporadic problems in products and processes.
	Prevent unnecessary tweaking of processes already in control.
	Perform capability studies to target improved capability.
	Stop blaming operators for poor quality when a process is incapable.

Who Should Attend?

SPC is used to monitor drifts in process so that proactive action can be taken. It will be most appropriate for those involved in Marketing, Finance, Sales, Manufacturing, Production and Service. Teams are encouraged to attend for maximum benefit.

Brief Course Outline

Day 1 (AM)

Day 1 (PM)

Why SPC?

	Variation
	How is SPC used?
	Example of SPC chart

Gauge capability

	How to use it?
	Design of charts
	Use and interpretation

Pre-control Chart

	How to use it?
	Design of charts
	Use and interpretation

Variable Control Charts

	X bar-R charts
	Calculating control limits
	Design, use and interpretation

Day 2 (AM)

Day 2 (PM)

Attribute Control Charts

	p, d, u, c chart
	Design of charts
	Use and interpretation

Interpreting Control Charts

	Decision making
	When to use?
	When not to use?

Summary

	Problems and effective use
	Examples
	Assessment

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