Course information

  • 5 days
  • 3/07, 11/09, 16/10, 6/11, 11/12 2024

Investment

The investment is €3.500, (excl. VAT) per participant.

Included are the 5 training days, extensive course material, project support during training days, daily lunch and drinks

About the course HI-RF10 Problem Solving through Statistical Engineering.

Does any of the following sound familiar? "We're not sure if we've truly solved the problem." "The root cause analysis team has tried many things, but nothing seems to work." "We don't have enough resources for root cause analysis." In such cases, the Problem Solving through Statistical Engineering training provides insights into how to break through the deadlock using the latest techniques.

This training is focused on structured and efficient root cause analysis to resolve product issues. It centers on the use of the Statistical Engineering (SE) method to professionally and independently identify the main cause of problems. SE capitalizes on the fact that a single root cause contributes most significantly to the problem, with the aim of finding and understanding it, leading to the right solution.

Download Brochure

RF10 opening image

 

With this course you’ll learn:

  • How the Statistical Engineering methodology works
  • How to deal with failing products and how to report progress to management
  • To become a complete problem solver

Teaching professionals.

Dr. Ko Dousma

Dr. Ko Dousma

Sr. Product Process Specialist & Master Black Belt
Ko is a Master Black Belt in Design for Six Sigma and with more than 20 years of experience in dozens of companies in several different industries, Ko is an expert in technical problem solving and reducing product and process variations.
Dr. Ir. Coen Smits

Dr. Ir. Coen Smits

Scientific Director Reliability
He has been with Holland Innovative for over 10 years as a reliability specialist with assignments in many high tech and automotive organizations. He holds a Ph.D. in Applied Physics from the Eindhoven University of Technology.

Course: Problem Solving through Statistical Engineering.

Outcome

This training clarifies why and how the SE method works. This method aids in establishing the framework for problem analysis and understanding a measurement system. Furthermore, it provides insights into which products and data need to be examined and which statistical tools should be used. The SE methodology encompasses many specialized tools that will be extensively taught during this training. Participants learn how to handle defective products and report progress to management. With this training, you will become a well-rounded problem solver.

RFs - outcome
Problem Solving through Statistical Engineering

Yes, I'm joining.

What you’ll learn.

Overview program day 1-3

What you'll learn on day 1, day 2 and day 3 of the course

  • Introduction to Statistical Engineering
  • MSE test | scoring transform | concentration diagrams
  • Decision tools / split types | strategy diagrams
  • GP/TP analysis | parts swap analysis
  • Y-X scatterplots | process flow diagrams | multi-vari | active multi-vari

Overview program day 4-5

What you'll learn on day 4 and day 5 of the course

  • Mixer noise case
  • Logical pairs | resistance limit transforms | new vs present testing
  • Group comparisons | clue lists | operations search
  • Black Belt in problem solving basics | process specification graphs | precontrol / process control | executive summary
  • Full factorial DoE | rank order anova | case studies

Practical information.

For whom

This training aims at all engineers and specialists working in technical areas. The training is specifically meant for those who want to learn the efficient root cause analysis methods and be able to apply them in their own organization.

Certificate

After completing the full course, you receive proof of participation.

Moreover, the course can serve as one of the modules to obtain the Certificate Reliability Engineer according to VDI 4002.

Location & Dates

Location
Eindhoven – High Tech Campus 29 
 
Dates 2024

Session I:

3 July, 11 September, 16 October, 6 November & 11 December

Group size 

A maximum of 16 participants