Data we collect describe the past. Their analysis tells us also about the past. A key question during Process Capability Analysis is: how can we use data collected in the past to describe future? How can we estimate risk associated with the fact that our predictions will not become true in the future? It is normal that customers want to know if a supplier is able to deliver components according to their specification. Aside from the supplier’s promises, the customer usually needs evidence which confirms the supplier’s assurances. What kind of evidence can the supplier offer? How can it be proved that the process is suitable for the manufacturing of components and will fulfill quality requirements? One way is estimation of Capability Indexes.
Without prior agreement on how to collect data, it is very easy to manipulate values to make them look good. This is why we need a way to describe processes in reliable way, to be fair for both supplier and customer. The training we offer will show you how to describe processes in a fair and practical way.
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After the workshop participants will be able:
- To plan data collection in the way that ensures indexes will deliver reliable and real knowledge about our process and/or process of our supplier
- To analyse collected data in practical (Box Plot), graphical (Control Charts) and quantitative way (Capability Indexes)
- To interpret values of Cp & Cpk, Pp & Ppk, Cm & Cmk taking into account various limitations of these values
- To perform all the analysis with Minitab Statistical Software
|FORM OF EXECUTION|
|Introduction to variation (basic definitions and statistics)||lecture|
|Quincounx: practical exercise that shows why it is so critical to distinguish between common cause and special cause variation||practical exercise|
|Introduction to sampling ? two-level Sampling Trees, data analysis: Practical (Box Plot) and Graphical way (Control Charts)||lecture|
|FORM OF EXECUTION|
|Capability Study: Indexes Cp, Cpk, Cm, Cmk, Pp, Ppk: calculation, interpretation, and limitation of conclusions, e.g. how the way of data collection can influence values of capability ratios||lecture|
|Hands-on and case studies, during which participants discover next limitations of calculated indexes and in the same moment learn how to calculate and interpret results of our process and take the right decisions in the right moment base on fully reliable data||practical exercise + case study|