Earning Lean Six Sigma certification elevates and expands skill sets and can help prepare you for a bigger role in the process improvement projects required for modern business success. Emory …
Written by Contributing Columnist: David Larsen, PSP, PMP, LSSMBB Operational leaders have many responsibilities within an organization. Responsibilities span from day-to-day business to people-leadership. But when does a leader take …
Six Sigma project teams use Force Field Analysis to identify and assess the strength of forces that both support and constrain potential improvements in a current situation. The concept is …
Force field analysis is a tool used to visualize the driving forces and the restraining forces that affect some area of interest. The team might use force field analysis to get an understanding of the forces that are helping something and the forces that are inhibiting something from being at the optimal level.
People who want to become the best at something all do the same thing, whether it’s painting a portrait or developing a customer call center. They look for inspiration and …
Benchmarking in Six Sigma involves a company analyzing its performance rather than measuring it against the standard set by the industry they work in or a world-class company in another …
Accuracy in Lean Six Sigma defines the difference between the average number of observed values and the accepted standard. It measures the accuracy of the results of a process against …
In 1976, the Union of Japanese Scientists and Engineers (JUSE) saw the need for tools to promote innovation, communicate information and successfully plan major projects. A team researched and developed the seven new quality control tools, often called the seven management and planning (MP) tools, or simply the seven management tools.
Developed as part of the respected Toyota Production System, an A3 is a tool that provides a framework for continuous problem-solving. Project teams use an A3 to identify problems, develop …
The Standard Deviation of a set of data describes the amount of variation in the data set by measuring, and essentially averaging, how much each value in the data set varies from the calculated mean. The formula for standard deviation depends on whether you are analyzing population data, in which case it is called σ or estimating the population standard deviation from sample data, which is called s:
