The Six Sigma process improvement methodology relies on project teams to carry out specific improvement projects that address process performance problems. For each project a few key roles must be filled, including the project sponsor or champion.
Control charts aren’t the only game in town for tracking business and process performance indicators. Find out how a run chart can help you understand the variation in your data and when special causes are present in a process.
Before embarking on a large project such as development of a website, a project team needs to fully document the key areas of work that are required. By clarifying and organizing this information up front, they can reduce the likelihood of misunderstandings and missed steps later on.
A Pareto chart’s main purpose is to provide information about whether categorical data can be described using the Pareto principle. Find out why this is useful for a Six Sigma project and when you should use a Pareto chart to display and interpret your data.
Pareto analysis provides valuable information for participants in Six Sigma projects and for business leaders regarding the distribution of data across different categories. Find out how you can use Pareto analysis on survey data as part of your project selection or your DMAIC project.
Perhaps you’re looking for clip art to include in your next Six Sigma project presentation, either to educate your audience or to provide some comic relief. Or maybe you’re just looking for some Six Sigma humor you can share with your colleagues. Check out these sites to find Six Sigma clipart.
If you’ve worked with Six Sigma for a while now, you may have more than a little pride in your ability to understand obscure business charts, speak in statistics-ese, and of course deliver sustainable high-impact improvements for your organization. Show off your status with Six Sigma apparel.
Even particularly challenging Six Sigma DMAIC projects usually benefit a company in the end. But some Black Belts end up with a project that can only be described as a bad Six Sigma project. Learn about some types of bad DMAIC projects and what you can do should you find yourself working on one.
The Design for Six Sigma (DFSS) methodology allows businesses to create processes, products and services from scratch that are capable of meeting both customer and business requirements. Some companies offer their own training to employees, but training is available through other avenues as well.
Control charts provide information about process performance and variation. They allow business leaders to identify special cause variation and process capability. Use X-bar/R control charts when you have continuous data and use subgroup sampling, for instance with a manufacturing process.
Like other types of control charts, the p chart provides information about the variation in process performance. Six Sigma practitioners use it to distinguish special cause and common cause variation and identify performance trends, so they can determine the appropriate approach for improvement.
Design for Six Sigma (DFSS) allows businesses to design new processes, products and services that meet customer specifications. Throughout this process, a variety of tools help project teams clarify the project objective and parameters, understand customer needs, and implement an effective solution.
The Six Sigma DMAIC methodology provides an excellent framework for improving existing processes. But when a company needs to design a new product, process or service or an existing one must be completely overhauled to meet customer and business needs, Design For Six Sigma (DFSS) comes into play.
The individuals chart is a general-purpose control chart used in Six Sigma to understand sources of variation in process performance. There are other types of control charts that are more powerful when using specific types of data, however.
In addition to the individuals control chart, a general-purpose chart for all types of data, there are specific types of attribute control charts. These charts provide more power in detecting special causes when you are working with discrete count or discrete attribute data.
The Analysis of Variance test, also known as ANOVA, lets you determine whether the average for one group of data is different from the average for one or more other groups. It is a popular data analysis tool for Six Sigma DMAIC projects and other data-intensive project management applications.
Many parametric tests used in Six Sigma, such as ANOVA and regression, entail an assumption of homoscedasticity or equal variances. If variances among different groups differ, the chance of reaching incorrect conclusions about the data increases.