Statistical Process Control
Why attend this workshop?
The collection of techniques and tools, commonly known as Statistical Process Control (SPC), has been in use for over 70 years. However, from the very beginning until now, there are many doubts as to the nature and main goal of using SPC. Most courses concerning SPC mainly focus on statistical tools, at the same time simplifying the use of Statistical Process Control for the control and monitoring of results of our processes. Although SPC may be used in these areas, much more lies hidden behind it.
It is very easy to focus on SPC tools, it is easy to learn these tools, but it must be remembered that they are only a background. The key is in applying them skillfully and effectively (not impressively). Only in this way will pave the road to continuous improvement and without huge investments, learn to improve the quality and increase the productivity of our processes.
Aim and expected results of workshops
The aim of the workshop is to provide knowledge of how to collect and analyze data about processes, in order to make appropriate decisions on the basis of conclusions made.
After completing the workshops, its participants will be able to:
- plan collecting data so that they answer specific questions, which relate to our processes (plans of sampling),
- analyze the collected data in a way that is practical (box graphs), graphic (control charts) and in quantity (studying the components of variation),
- use control cards both in a passive way (monitoring
the process) and active way (solving problems in a process),
- examine the measurement system,
- conduct essential analyses using the program Minitab.
Target group
The workshops are particularly targeted at:
- Process Engineers, Quality Engineers, Technologists, Leaders.
- Managers (especially middle management), who want to find out more
about SPC.
Workshop program
1. Introduction to workshops.
2. Critical Thinking and Thought Map.
3. Process Mapping, Table of Variation Sources.
4. Introduction to variation and Quincunx: practical exercise, showing
why it is important to distinguish between natural and special variation.
5. Sampling: sampling trees, box graphs, average and range charts.
6. Sampling: practical exercise – how often to sample? What is the optimal size of the sample?
7. Analysis of data (two-, three- and four-level sampling trees). Practical analysis (box graphs), graphic (control charts XaveR, ImR) in quantity (specifying the % of influence of particular components of variation on the results of the process).
8. Using ImR type charts (individual values and shifting ranges) for
monitoring the results of the process.
9. Studying measurement systems using control charts.
10.Summary of workshops.
Duration
3 days (24 class periods)
