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Process control
e-learning, process control
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Duration 18 Hours
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250 excl. tax / person
E-Learning has a high drop-out rate, so why do our courses have a success rate of 90 %? The key? Our content! No handouts to put you to sleep.
Kayla is a Green Belt at the B&B factory in Baumé, and is facing some real problems. We need to help her find solutions.
Still need support? We offer tutoring sessions with our Master Black Belts trainers to support you!
Be able to calculate capabilities and set up the SPC
The MSP SPC - process control course is lively and interactive. The resources provided will enable you to master the subject perfectly.
Programme
Descriptive statistics for capability
- Parameters of Gauss's law
- Validating the normality hypothesis
Process variability
- Understanding the origin of process variability
- Understanding the origin of the Gaussian distribution law
- Understanding the importance of focusing on the target
Capability indicators
- Understanding Cp and z capability indicators
- Understanding Pp and Ppk indicators
- Interpreting the fall in Cp=>Pp=>Ppk capabilities
Calculating capability
- Calculate Cp, Pp and Ppk indicators in all situations
- How to calculate a Ppk indicator in the case of an attributive criterion
- Know how to calculate and interpret the Global Capability Indicators PpkProduct and PPkMedian
Capability in special cases
- Non-normal distributions
- Unilateral tolerances
- Destructive testing
- Calculation of Cpm and Ppm indicators
Gage R&R aux Mesures
- Understanding the benefits of Repeatability and Reproducibility analysis
- Be able to conduct R&R
- Interpreting R&R
- Knowing how to react in the event of poor R&R
R&R pledge to Attributes
- How to conduct an attribute R&R test
- How to calculate a GRR% and a concordance
- Interpreting a Kappa test
- How to interpret the results of an attribute R&R test
Accuracy of a Measurement process
- Identify sources of error in a measurement system
- Know how to measure an accuracy deviation in a measurement process
- Calculate and interpret the Cg and Cgk indicators
Objectives
- Master the basic concepts of descriptive statistics.
- Master the concept of capability.
- Understand the importance of Statistical Process Control.
- Know how to set up a control chart on any type of process.
- Validate a control process.
For whom
This e-learning course is designed for operators and supervisors who have to use the SPC on a daily basis and interpret capability indicators and control charts.
Prerequisites
- Basic use of the Internet and a web browser.
- A level III qualification and/or 2 years' initial professional experience.
Duration
18 hours of animated 100% e-Learning, certification practice quizzes, implementation of theoretical points on industrial simulators. The e-Learning course is available 24/7 for 2 months.
Accessibility
This training course is accessible to people with disabilities. Please contact us for details of special arrangements. We will do our utmost to accommodate you.
Be able to calculate capabilities and set up the SPC
The MSP SPC - process control course is lively and interactive. The resources provided will enable you to master the subject perfectly.
Your feedback
This course gave me the knowledge and mastery of basic statistical tools that are directly applicable to our field of work.
EdgarR&D Technician, Groupe SEB
A methodology that is very accessible for us non-scientists in industry: discovery of the inversion test, ergonomics and intuitiveness of the software used (Ellistat) compared with Minitab.
LaurentMaterials Project Manager, Chatelain G&F
A fun and educational course that makes you want to get your team involved and roll out the approach on the shop floor.
PascalHaute Horlogerie workshop manager
The training really gives you an in-depth understanding of the method and the Ellistat software is a real plus. The trainer is very knowledgeable and dynamic.
ClémentEngineer / Design Group Manager, Bosch Automotive
I now know how to use the tools of the method to solve problems but also to prove that the actions taken are improving the situation.
DenisIndustrialization Engineer, Bosch Automotive
The subject is explored in detail with a logical progression throughout the course, without being drowned out by information. You want to apply what you discover and learn.
NathanMethods Engineer, ORANO
There was no disappointment, quite the opposite in fact, as the course followed a guiding principle. A very refreshing case study of an industrial problem, in the form of a brewery!
VincentQuality Manager, SAINT GOBAIN
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