SPC


 

    * Generate, utilise and interpret a variety of Control Charts (Xbar/R, S & Attribute).
    * Perform a capability study and determine process capability indices (Cp, Cpk, Pp and Ppk).
    * Interpret the results in the context of the process variation and product acceptance criteria.


1.The existence and measurement of variation
    * Concepts
    * Variation
    * Data tables, histograms and run charts
    * Normal Distribution
    * Accuracy and Precision
    * Measures of variation (mean, mode, median, range, standard deviation and variance)

2.Understanding and Managing Variation
    * Common and special causes
    * Taking appropriate action on common and special causes
    * Process improvement methodology
    * Reacting to special causes
    * Statistical Control, what it is and the advantages of processes being in control vs tampering with the process

3.Role of Control Charts
    * Role, uses and definition of control charts
    * Types of Control Charts

4.X‐Range Charts
    * Use of Charts
    *  Preparation and use of control charts
    * Examples
    * Measures of variation (mean, mode, median, range, standard deviation and variance)

5.Attributes Charts
    * c, p, np and u charts (overview)
    * Examples

6.Capability Analysis
    * Process capability
    * Performing a process capability study

Additional Core Tools include:

    * Measurement Systems Analysis (MSA);    

    * Advanced Product Quality Planning (APQP) and Production Part Approval (PPAP);

    * Failure Mode & Effects Analysis (FMEA)

 




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