Training Process control e-learning or face-to-face

MSP SPC - mastering a daily process
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Process control logo

Process control training

  • e-learning
  • face-to-face
  • statistics

Duration

18h

Rate

250 €Ht/pers
Operator having to control his parts with SPC during process control training

Know how to control a process and calculate capabilities

The Process Control training course will enable you to understand how an industrial process works, to identify the causes of drift and to apply the principles of SPC (Statistical Process Control) to improve production quality.

At the end of the Process Control training course, you'll be able to calculate capability indicators and set up control charts for all your processes.

Competitive benefits

Process Control training is lively and interactive. Numerous exercises on Ellistat's Data Analysis software will enable you to put theory into practice. The resources and assistance provided by our teams will make it easier for you to assimilate complex concepts.
Successful certification

100%

From a satisfied Ellistat trainee
Training catalog available for Ellistat

21

Training available in e-learning, mix-learning or face-to-face.
Customer satisfaction

99%

Trainees recommend our training courses.
*September 2021 to September 2024
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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

The Process Control training 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. The e-Learning is available 24/7 for 2 months for this training course.

Teaching and technical resources

  • 100% E-Learning training on a dedicated platform
  • Our teaching methods are mediatized (voice, text, exercises), fun and multimodal, with tests at every lesson.
  • Theoretical presentations
  • Case studies
  • Online availability of PDF and Excel support documents

Teaching team

With over 30 years' experience, rich in teaching and practical experience, our industrial quality training organization provides you with training and consulting services to develop and improve your performance and know-how. All our consultants are Master Black Belt Lean Six Sigma and have at least 10 years' experience in applying Lean and Six Sigma tools in industrial environments.

Accessibility

The Process Control training course is accessible to people with disabilities. Please contact us for specific accommodation options. We will do our utmost to accommodate you.

Evaluation methods

  • Attendance sheets.
  • Oral or written questions (MCQs).
  • Case studies.
  • Practical work

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

  • Know how to 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
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Your feedback

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!
Vincent
Quality Manager, SAINT GOBAIN
This training provided me with knowledge and mastery of basic statistical tools, directly applicable to our field of action at work.
Edgar
R&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.
Laurent
Materials 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.
Pascal
Workshop Manager, Haute Horlogerie
The training really takes you deep into the method, and the Ellistat software is a real plus. The trainer is very knowledgeable and dynamic.
Clément
Engineer / Design Group Manager, 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.
Nathan
Design Engineer, ORANO
I now know how to use the tools of the method to solve problems, but also to prove that the actions I've taken are improving the situation.
Pascal
Workshop Manager, Haute Horlogerie

Two modes learning

  • E-learning
    Self-paced learning
    250
    • 18h of e-learning courses
    • Online support
  • Presential
    In-company training
    3
    on-site day
    • 3-day MSP/SPC training

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