I teach that by itself Lean is a way to redesign a value stream according to certain principles to improve flow in a value stream, thereby reducing cycle time and achieving a number of other benefits quickly. Six Sigma has two modes: project and operational. The project mode involves a framework such as DMAIC or DfSS. The operational mode employs Six Sigma principles (management by facts and data, statistical thinking, systematic identification of root causes of outcomes, etc.) to achieve stakeholder goals. Lean Six Sigma can be used to provide a framework for kaizen bursts, or to solve other problems preventing continuous flow in an organization or value stream.
Hmmm…Upon re-reading this it strikes me that it’s full of jargon. Let’s try putting it into layman’s terms.
Lean helps you make things with minimal waste and delay. Six Sigma helps you find out why things vary and how to reduce variation. Lean Six Sigma helps you solve challenging problems causing waste...
There are a lot of reasons that Six Sigma projects fail but they do not have to IF you can stick to the roadmap. I have done lots of projects most very successful but some have failed. In every case we stepped off of the tried and true path to success, the DMAIC roadmap. As simple and easy as these five steps seem to be, you will many times find them difficult to complete. But if that is happening, my advice to you is to “stay on the path”. Don’t skip a single step. If you stay on the path, you will find success.
DMAIC The five step process
So what are the five steps of this DMAIC roadmap? They are Define the issue, Measure the current state, Analyze and identify opportunities, Improve by implementing the best opportunities, and Control the new process to maintain the gains. You start every project at Define working your way through each step until you have put in place Controls to maintain your gains. What many of us do without thinking is we see a problem (Define)and go solve (improve)...
In a letter published in the journal Nature (Nature 463, 527-530 (28 January 2010)) entitled “Ensemble reconstruction constraints on the global carbon cycle sensitivity to climate” the authors discuss the processes controlling the carbon flux and carbon storage of the atmosphere, ocean and terrestrial biosphere. These processes are likely to provide a positive feedback leading to amplified anthropogenic (i.e., human caused) warming. But the magnitude of the climate sensitivity of the global carbon cycle and thus of its positive feedback strength, is under debate, giving rise to large uncertainties in global warming projections. The paper describes a study designed to quantitatively estimate the feedback parameter, γ, based on pre-industrial CO2 estimates based on “proxies” such as ice cores.
The authors conclusion:
“We find that γ is about twice as likely to fall in the lowermost than in the uppermost quartile of their range. Our results are incompatibly...