iSixSigma Staff

There never seems to be enough time on a project, especially when considering flow time vs. cycle time. These measurements are great ways of tracking time throughout a project. However, when to use these respective measurements comes down to the stage of the project. Don’t fret, we’ll get you up to speed in […]

Delaying quality improvement measures until the very end of a process.

Six Sigma without variables is like a recipe without ingredients. Understanding how variables align with Six Sigma is paramount to the success of any business. Learn how variables can highlight your process’ capabilities and limitations. What are Variables in Six Sigma? Variables are essential to Six Sigma. By measuring, analyzing, and controlling the variables that […]

The degree of impact that measurable changes in input variables have on the output.

Randomly select factors, measurements, or variables to eliminate the effects of bias or chance.

Queuing theory is the mathematical study of waiting in line.

A rare event is an occurrence that happens at such a low frequency that it cannot be monitored with traditional control charts. A rare event statistical process control chart is a tool for charting these events successfully.

When determining how to apply Six Sigma methodology to your business, you do not need to reinvent the wheel. A lot of research, testing, and work has already been put in to sort out some common best practices that are proven to work for most organizations. In any industry, there are others that have come […]

Honeywell was a company that had been utilizing the Six Sigma methodology for years. Distracted by a merger and other factors, however, the organization had begun to slip. With a revitalized stake in the Six Sigma process, the organization was able to turn itself around and become even stronger than before. DMAIC and Y=f(x) Helped […]

A statistical tool which allows you to predict, with varying degrees of accuracy, your output based on the values of your input. 

A graph that represents quantified data in the form of discrete rectangular shapes.

A document that lists details for new product designs or modifications being proposed to current products.

The random fluctuations around the regression line that show as variation. This type of variation is the sum of squared differences between each ordered pair’s y-value and the predicted corresponding y-value. It is the error portion of the regression equation.

An aspect of a work assignment or designated responsibility that is so vital that a less-than-satisfactory showing on that aspect would be deemed unacceptable.

The union between conventional customer relations and integrated software solutions.

In 2008, Starbucks was taking a major hit from the financial crisis, losing customers to competitors, and having to close hundreds of stores. Despite having its back against the wall, some decisions made around key Six Sigma principles helped Starbucks bounce back better than ever. How Giving Quality and a Better Experience To Employees and […]

A Japanese word that can be defined as unreasonableness or going beyond one’s power.

A group comprised of trade industry representatives, retailers, and manufacturers worldwide who collaboratively establish best standards and practices in order to improve the international supply chain of goods for consumers.

MRP is an integrated logistics plan that encompasses supply chain, storage and availability for particular processes within the scope of the company’s operations.

A method of prioritizing maintenance needs of various components or systems based on the severity of the risk of failure.

The average time to repair a machine back to acceptable operating conditions.

Eliminating the cause of an error in order to keep the error from happening again.

Jack in the Box can be defined as a variable that appears randomly in response to factors that are not readily apparent.

ELT (Extract, Load, Transfer) is a data management method that transfers raw data from a source server to a target server and prepares the data for downstream use.