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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