Start Making Sense: Intro to Statistical Process Control
When managers misinterpret the signals that they receive from their companies, they will probably make the wrong decisions.
A systemic approach to management together with an understanding of the interdependencies and the variation that affects all processes plays a fundamental role in a correct and effective decision-making process.
The course aims at providing the technical tools and methodology to gain a correct understanding of interdependencies and to interpret variation.
- how to make a DFC (Deployment Flow Chart)
- how to identify control points (KQC, Key Quality Characteristics)
- introduction to the concept of variation
- introduction to the basic concepts of statistics: calculating the relevant parameters for extracting meaning out of distributed data; variance
- introduction to Statistical Process Control: representation of variables (histogram, run chart)
- limits of variation, control charts
- causes of variation: processes that are in control and out of control
- specification limits: comparison with variation limits
- using control charts
- buffer management
The participants will be able to:
- understand and identify interdependencies, and therefore where to place control points (KQC),
- be able to make a control chart
- distinguish between an in-control process and a process that is out of control
- distinguish between normal and special causes of variation
As a result, participants will be able to make informed decisions consistent with this understanding through rational prediction.
This course is a theoretical introduction to explain the basic techniques for making Deployment Flowcharts (DFCs), calculating the relevant parameters for extracting meaning out of distributed data; variance, and how to make control charts. Group exercises enable the understanding of these basic concepts.
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