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I have been thrown straight into (MSA) Gauge R&R.

Hi Yong

 

Just a quick note to let you know I have been thrown straight into (MSA) Gauge  R&R. I do have an opportunity to carry out a full DMAIC project and I am managing to utilise some of the training you gave me.

 

Just thought you might be interested and I will keep you informed of my progress

 

Best regards

 

Bill

 

 

Bill Nelson

Production  Manager

aerospace tooling LIMITED

Baldovie Industrial Estate

Dundee

All the tools you give me will be a real help in my business.

Dear René,

 

First of all, I’d like to thank you for the session. It was very interesting and since the first day, I go on with my vision helped by the LSS tools for the project I’d like to achieve. I remarked that the scope was too big and that I have now to define a smaller scope to be more efficient (thank you for this advice).

 

All the tools you give me will be a real help in my business. I have to admit that you are fully right with the idea of TEAM WORK, Communication and change management (but I was already aware of those last two)

 

I  have to say that the atmosphere of work was very good.

 

Thank you.

 

Regards,

pierrot

 

 

Pierre-Emmanuel Bourtembourg – Catering Procurement Back Office Manager

ISS Catering – Part of ISS Facility Services

Chemin du fond des coupes 4 – 5150 Floreffe

Lean Six Sigma Design of Experiments Y = f(x)

Design of Experiments
§DOE was originally developed in 1930’s by Sir Ronald Fisher to improve agricultural methods
§Fisher used DOE to maximise the yield of agricultural crop (Y) by changing the key process inputs; fertilizers & seed type (x’s)
§ he DOE approach allowed Fisher to understand the main effects of the inputs, and the interactions between the inputs which impact the process output
§The objective is to logically organise changes to 2 or more input variables (x’s) and evaluate if any variable, or any combination of the variables, significantly affect the output (Y)
What is Design of Experiments?
§A DOE is a set of tests on the process output with at least 2 process inputs, each set at 2 or more levels
§The key principle behind the DOE technique is to create a perfectly balanced design which includes an equal combination of process settings

Lean Six Sigma Why Learn Hypothesis Testing?

To identify sources of variability using historical or current data:

  • Passive: a process is sampled or historic sample data is obtained
  • Active: a modification is made to a process and then sample data is obtained

Provides objective solutions to questions which are traditionally answered subjectively

Works for differences in means, or Variances (Standard Deviations), or proportions

Lean Six Sigma and Waste

§Lean operations display the following characteristics:

üThe elimination of non-value adding activity – waste

üOnly producing what is required, when it’s required

üClose links in the value chain including supply chain input (JIT)

üDoing things right first time

üEnsuring processes are robust

 

 

§Many of the techniques are simple and common sense
§These Lean techniques and ‘mindset’ are often mistakenly associated with volume manufacturing.
§However the same principles have also been successfully applied in Project Management, Engineering, Supply Chain, Finance, HR etc.

Lean Six Sigma and Value Stream Mapping

§The current state VSM was created in the Review Phase and is analysed in the Investigar Phase for improvement opportunities.
§There are many lean tools & techniques which can be used but the majority of these are outside the scope of EGB training (see EBB Session 2).
§However, the majority of Lean tools & techniques are common sense improvements that become obvious after modelling the whole value stream.
§Potential improvements opportunities are represented as Kaizen Bursts (call-outs) on the VSM, at the appropriate place within the value stream.
§Kaizen is Japanese for improvement.

Design of Experiments Lean Six Sigma

Y = f(x)

DOE was originally developed in 1930’s by Sir Ronald Fisher to improve agricultural methods Fisher used DOE to maximise the yield of agricultural crop (Y) by changing the key process inputs; fertilizers & seed type (x’s) he DOE approach allowed Fisher to understand the main effects of the inputs, and the interactions between the inputs which impact the process output

The objective is to logically organise changes to 2 or more input variables (x’s) and evaluate if any variable, or any combination of the variables, significantly affect the output (Y)

What is Design of Experiments?

A DOE is a set of tests on the process output with at least 2 process inputs, each set at 2 or more levels

The key principle behind the DOE technique is to create a perfectly balanced design which includes an equal combination of process settings

Consider the example below with 3 key process inputs, each set at the high end (1) and low end (0) of their respective specification (or process variation) limits

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Visual Management is key within Lean Six Sigma projects

The key to world class flexibility and high quality is the ability to understand at a glance what is going on in the workplace. Visual Management helps everyone in the workplace become involved in monitoring progress and customer service. Visual Management guarantees increases in efficiency, quality levels, productivity, and reductions in man hrs on the job. VM not only makes problems obvious, it provides a means to solve them The purpose of VM is to make everybody’s job easier VM uses all 5 senses to create a simpler, self regulating facility, resulting in increased Quality, productivity and morale.

Pursue Perfection through Standardisation;

Now that improvements have been made it is important that they become the new STANDARD and the team do not fall back into the old ways of working. It does not stifle creativity, it enhances it.

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