One Day Workshop Root Cause Analysis

Problem-solving by using Statistical Engineering.

ODWs - opening image

With this training you’ll learn:

  • Introduction to the SE methodology
  • Measuring systems analysis
  • Strategy diagrams
  • SE concepts (critical to quality, major root cause)

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

Reliability Specialist
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.

Training information

  • Hybrid
  • 1 day

Investment

The investment is €795,- per participant (excluding VAT).

This includes the training day, extensive teaching materials, lunch and refreshments.

About the One Day Workshop Root Cause Analysis.

Does one of the following sound familiar? “We are not sure whether we really solved the problem.” “The root cause analysis team has been trying many things but nothing seems to work.” “We do not have enough resources for root cause analysis.” In that case our one-day workshop Root Cause Analysis will give insight how to get out of the impasse, following state-of-the-art techniques.

The principle of this workshop is: ‘Listening to the parts’. In other words, go to the work floor, take the products that are not meeting requirements and compare these with the correct products. This often reveals more than the overflow of data and statistics that the quality manager receives on a daily basis.

When you have a product that is assembled out of different components, it is a good start to disassemble the product and put it together again. When the malfunction keeps persisting there is a problem with one of the components. When the problem after reassembling has disappeared, you can eliminate the components as a possible cause and look at the assembly process steps themselves. The underlying thought is that differences will appear more clearly when looking at the extremes.

One Day Workshop Root Cause Analysis.

Outcome

Problem solving deals with processes with a spread on the output, leading to products that do not fit requirements. The Statistical Engineering (SE) methodology exploits the fact that one root cause always has the largest contribution and the goal is to find this root cause and to understand it. When you have found the root cause, the solution is most of the time obvious.

ODWs- outcome

During this One Day Workshop awareness will be developed to solve problems with help of the SE methodology. The workshop enables the participants to apply this methodology in their own working environment.

Registration is closed now. Come back later when the course is available.

Contact us.

We’ll email you within 1 working day with the next steps

What you’ll learn.

Day 1

What you'll learn

  • Introduction to Statistical Engineering
  • Strategy diagram + goat system case
  • Measuring systems – MSE test
  • Decision tools
  • Multi-vari
  • Part swap analysis
  • GP/TP analysis
  • New vs present significance testing

Presentations will be interspersed with practical examples and exercises.

Practical information.

For whom

The One Day Workshop Root Cause Analysis is a professional, intensive, one-day workshop, aimed at executives and senior engineers who work in production and development.

This workshop is specially designed as an extension to the existing Design for Six Sigma Black Belt training in the area of DMAIC and DIDOV. But this workshop can also be followed separately.

Certificate

At the end of the session, the participants will receive a declaration of participation.

Location & Date & Group size

Location
Eindhoven – High Tech Campus 29

Dates 2021
To be determined 

Group size
A maximum of 12 participants

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Take the next step in your personal development.