Statistical Process Control
courses, process control
Duration 18 Hours
250 excluding VAT / person
Online training course have higher drop-out rates, so why do ours keep learners engaged and have a success rate of 90% ? The answer ? Our course content !
Kayla is a Green Belt at the B&B plant in Baumé, and has to face real problems on the job. You need to help her find the solutions.
Still need more support? We offer tutoring sessions with our Master Black Belts trainers to support you!
Be able to calculate capabilities and implement the SPC
The MSP SPC - process control training course is lively and interactive. The resources provided will enable you to master the subject perfectly.
Program
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 Gauss's 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 drop in Cp=>Pp=>Ppk capabilities
Capability calculation
- Calculate Cp, Pp, Ppk indicators in all situations
- How to calculate a Ppk indicator for attributive criteria
- Know how to calculate and interpret the PpkProduct and PPkMedian Global Capability Indicators
Capability 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
- How to react in the event of poor R&R
Attribute R&R pledge
- Conducting an attribute R&R test
- How to calculate a GRR% and a concordance
- Interpreting a Kappa test
- 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 on a measurement process
- Calculate and interpret Cg and Cgk indicators
Objectives
- Master the basics 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 need 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. E-Learning is available 24/7 for 2 months for this training course.
Accessibility
This training course is accessible to people with disabilities. Please contact us for specific accommodation options. We will do our utmost to accommodate you.
Be able to calculate capabilities and implement the SPC
The MSP SPC - process control training course is lively and interactive. The resources provided will enable you to master the subject perfectly.
Your feedback
This training provided me with knowledge and mastery of basic statistical tools, directly applicable to our field of action at work.
EdgarR&D Technician, Groupe SEB
Methodology very accessible to us industrialists, non-scientists: discovery of the inversion test, ergonomics and intuitiveness of the software used (Ellistat) compared to Minitab.
LaurentMaterials Project Manager, Chatelain G&F
A fun, educational training program that inspires teams to get involved and roll out the approach on the shop floor.
PascalHaute Horlogerie workshop manager
The training really takes you into 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 method's tools to solve problems, but also to prove that the actions I've taken are improving the situation.
DenisIndustrialization Engineer, Bosch Automotive
The subject is explored in detail with a logical progression throughout the training, without being drowned in information. You want to apply what you discover and learn.
NathanMethods Engineer, ORANO
No disappointment, quite the opposite in fact, as the course follows a guiding principle. A very refreshing case study of a real industrial problem - a brewery!
VincentQuality Manager, SAINT GOBAIN
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