Statistical Process Control
SPC is a methodology for establishing, measuring, maintaining, and improving
control of manufacturing and industrial processes. The SPC philosophy is
fundamentally different from conventional Quality Control (QC) in many aspects,
all of which are covered in the course presentation.
These include :
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Basic differences between QC and SPC
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Tolerance based systems
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Performance based systems
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Basic Statistics
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Control charts, control limits, performance indices
(Cp, Cpk)
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Data types – Variable, Attributive
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Special versus Common causes
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Component and Process design intent
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Measuring System
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Assessment rationale – checkpoint selection
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SPC Practicalities, Logistics, sample size,
frequency, charting method
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Response to out of Control conditions
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Process Output versus Parameter Control
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Never Ending Improvement
The basic objectives of the course are :
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To ensure participants have a full understanding of
the differences between QC and SPC, and where these philosophies are best
employed
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To coach a participant with no
current understanding of statistical methods into gaining a working knowledge of the basic statistics used within SPC
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To explain the design requirements for an effective
SPC system
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To explain the practical requirements for an
effective SPC system
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To outline the actions required when Out of Control
conditions are encountered
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To explain the further actions and benefits which
become available with additional process knowledge gained from the use of SPC
methods
The course is available as :
- 1 day Awareness Session
- 2 day Training Course
- 5+ day Facilitated Deployment
Recommended Attendees
Product Design, Manufacturing, Quality Control, Supplier Liaison personnel
A 1 Day introduction to a SPC giving delegates an understanding of how SPC can
control their processes whilst taking action to eliminate out of control
conditions. They will understand the requirement for a stable process and be
able to discuss their concerns in a common language.
On completion the attendee will be able to :
- Understand the basic statistics used in SPC.
- Plot points on Process Control charts for variable & attributive data.
- Calculate control limits.
- Calculate process performance indices (CP & CPK).
- Understand design & practical requirements for an effective SPC system
- Understand the requirements for responding to out of control conditions
The emphasis of this course, in addition to teaching the practical application
of the methodology, is to identify a key characteristic to enable the successful
deployment of SPC on your chosen process./div>
All training is provided conveniently at your own site for up to 10 delegates.
All you need to provide is the room, your normal catering & of course the
delegates.