Statistical Process Control

Statistical Process Control, commonly referred to as SPC, is a method for monitoring, controlling and, ideally, improving a process through statistical analysis. The philosophy states that all processes exhibit intrinsic variation. However, sometimes processes exhibit excessive variation that produces undesirable or unpredictable results. SPC, in a manufacturing process optimization context, is used to reduce variation to achieve the best target value.

Why SPC?

The plain fact is that when a process is within statistical control, its output is indiscernible from random variation: the kind of variation which one gets from tossing coins, throwing dice, or shuffling cards. Whether or not the process is in control, the numbers will go up, the numbers will go down; indeed, occasionally we shall get a number that is the highest or the lowest for some time. Of course we shall: how could it be otherwise? The question is – do these individual occurrences mean anything important? When the process is out of control, the answer will sometimes be yes.When the process is in control, the answer is no.So the main response to the question “Why SPC?” therefore this: It guides us to the type of action that is appropriate for trying to improve the functioning of a process. Should we react to individual results from the process (which is only sensible, if such a result is signaled by a control chart as being due to a special cause) or should we instead be going for change to the process itself, guided by accumulated evidence from its output (which is only sensible.)

Course Overview

This course is designed to provide participants with an understanding of the principles of Statistical Process Control (SPC) and the tools and techniques. SPC does not refer to a particular technique, algorithm or procedure SPC is an optimization philosophy concerned with continuous process improvement, using a collection of (statistical) tools for data and process analysis making inferences about process behaviour. SPC is a key component of Total Quality initiatives and ultimately SPC seeks to maximize profit by improving product quality, improving productivity, streamlining process, reducing wastage and reducing variation. SPC is considered one of the core tools of ISO/TS 16949:2009, and is generally required to be used within the Product Realization process and it is also a key element of the Control step within Six Sigma.

Training Course Content

    • Variation
    • Measurement
    • Chance Causes
    • Assignable Causes
    • Short-term/Long-term
    • Measures of Central Tendency , Dispersion, Symmetry and Relationship
    •  MoreMean, Median and Quartiles• Range ,Inter-quartile Range and Standard Deviation
    •  Skewness
    • Correlation
    • Basic Quality Tools
    •  Check or Tally Sheet
    • Graphs(Bar Chart/Pie Chart, Run/Trend Chart)
    •  Box-Plot and Histogram (Normal and Skewed Distributions)
    • Pareto Chart and Analysis
    • Cause & Effect Diagram
    • Scatter Diagram
    • Statistical Process Control (SPC)
    • Process Stability
    •  Attribute and Variable Control Charts
    •  Process Capability Analysis(Cp and Cpk)
    • Continuous Process Improvement

 

Who Will Benefit From The Course?

This course is suitable for quality professionals, six sigma change agents, lean practitioners and support staff who require a basic understanding of Statistical Process Control tools and techniques and the potential benefits (supported by examples) of understanding process behaviour. The course is highly practical and avoids the requirement for a detailed knowledge of statistics Managers, Team leaders, Engineers and technicians with responsibility for design, engineering, production and quality Senior and line management who are responsible for creating and/or implementingISO/TS 16949:2009 requirements.

 

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