Six Sigma methodology relies heavily on data for understanding process performance and for decision making. One needs to know how to measure data properly, to prevent errors and incorrect conclusions. Learn two key principles to measure effectively in your Six Sigma project.
Will the Six Sigma business strategy work for you? Read more about this method that strives to reduce defects and improve quality. Whether you’re a newbie or a black belt, you’re sure to learn something from Bright Hub PMs collection of articles, tips and templates. Learn the different ways you can use Six Sigma to benefit your own company.
Working toward process improvement calls for managing and assessing essential process requirements throughout the production phase of products/services. This can be only achieved through applying some common and innovative Six Sigma methodologies with a perfection rate of 3.4 parts per million.
The previous articles in the series provided an introduction to the DMAIC process improvement methodology and to the first two phases. Now let’s look at the third DMAIC Phase: Analyze. We’ll explore the goals and outcomes of this phase, and discuss tools such as the fishbone diagram and ANOVA.
In the second article in this series, you’ll learn about the DMAIC Measure phase. Key components of this phase include creating a process map, collecting baseline data, conducting data analysis, and calculating baseline process sigma. Tools include flowcharts, control charts and time series plots.
To get an introduction to the basics of the Six Sigma DMAIC process, check out this article. It provides you with a description of each phase in the DMAIC methodology and an introduction to some of the DMAIC tools.
My introduction to this series gave you an introduction to the DMAIC process improvement methodology. Now let’s look at the first DMAIC Phase: Define. We’ll explore the goals and outcomes of this phase, and discuss tools such as the Six Sigma project charter, VOC, and SIPOC.