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Statistical Process Control |
Course "Statistical
Process Control with Process Capability Analysis" has been pre-approved by
RAPS as eligible for up to 12 credits towards a participant's RAC
recertification upon full completion.
Description:
Statistical Process Control
is an analytical decision making tool which allows you to see when a process is
working correctly and when it is not. Variation is present in any process,
deciding when the variation is natural and when it needs correction is the key
to quality control.
Statistical Process Control (SPC) is a two-day "hands on" session by Daniel O'Leary - President, Ombu Enterprises, LLC , which will provide an understanding
of variation and the associated statistical methods to effectively apply SPC to
any process. This course is targeted at practitioners; the concepts and tools
are presented during this course are particularly relevant to quality,
manufacturing, design, strategic sourcing and operations. During this workshop,
participants will learn how to analyze available data and describe a process in
statistical terms; establishing an expected range of output performance, based
on quantified patterns of variation, in order to both identify when fundamental
process changes occur and execute effective process improvements. Participants
will learn the SPC tools and techniques applied to identify control limits,
understand expected process variation and interpret "out of control" signals
in order to proactively take corrective action. Participants will also learn
how data derived from SPC can be used to define process capability and how this
information can be applied in product design.
Process capability analysis is used to adjust the
process until virtually all of the product output meets the specifications.
Once the process is operating in control, capability analysis attempts to
answer the question: Is the output meeting specifications, or is the process
capable? If it is not, can the process be adjusted to make it capable?
What is Process Capability?
1. Process capability is the
long term execution level of the procedure after it has been brought under statistical
control. In other words, process capability is the range over which the
characteristic variety of the procedure occurs as dictated by the arrangement
of basic causes.
2. Process capability is
likewise the capacity of the blend of individuals, machine, techniques,
material, and estimations to deliver an item that will reliably meet the
outline prerequisites or client desire.
The capability analysis is carried out in the following
steps:
·
Selects the process to be analysed and
collection of data;
·
Identify specific limits according to
which capability analysis will be evaluated;
·
Verify the process is under statistical
control;
·
Analyse data distribution;
·
Estimate capability indices.
Measures of Process Capability Indices:
Cp, Cpl, Cpu, and Cpk are the four most normal and
coordinated tried measures of process capability.
• Process capability indices measure how much your
procedure produces yield that meets the client's detail.
• Process capability indices can be utilized
successfully to abridge process capability data
in an advantageous unit less framework.
• Cp and Cpk are quantitative expressions that
represent the inconstancy of your procedure (its characteristic limits) with
respect to its particular breaking points (client necessities).
Register for the seminar:
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