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In the emergency department of a hospital, the amount of wait time is of huge importance to the patient as well as the staff. Using Six Sigma methodology, the nurse director of Providence Hospital in Michigan was able to dramatically cut down on wait times for patients. Before Providence Hospital in Southfield, MI, embarked on […]

By employing Six Sigma and Lean Six Sigma methodologies, the U.S. Army’s Aberdeen Test Center was able to improve the cost-effectiveness and efficiency of its vehicle maintenance operations. Six Sigma’s DMAIC method gave the Aberdeen Test Center the necessary tool for improving its cycle time, significantly decreasing the wait for its clients between when a […]

Have you ever wondered whether the outgoing inspection values from your vendor are equivalent to the values of your incoming inspection? Maybe it’s time to use orthogonal regression to see if one of you can stop inspecting. If your vendor is doing final outgoing inspection, do you need to also do incoming inspection on the […]

In the 1980s, Wipro made the leap from being primarily known as a vegetable oil company in India into the world of IT. In order to be a competitor in this industry on a global scale, Wipro would need to continually improve its performance as well as work smarter towards meeting the needs of its […]

There are plenty of available case studies when it comes to how large corporations have integrated Six Sigma methodologies into their organizations. Less attention has been paid to the smaller and medium-sized companies that embrace Six Sigma. Can the same kind of success that big business garners from Six Sigma methodology translate to much smaller […]

Have you or a family member ever had to visit a hospital Emergency Room? What was your experience? How was your wait time? Let’s see how one hospital handled long wait times and extensive patient dissatisfaction using queuing theory. The Emergency Room of a public hospital was experiencing long wait times to treat patients. Wait […]

Lean and Six Sigma practices are ultimately about helping businesses use efficiency to provide the ultimate customer experience. But what about state and county government entities? Can the same practices apply, and do they even have “customers”? The residents in the counties these government offices serve would likely say “yes”. Kern County spans the southern […]

You may have taken notice of Deschutes lately. In the last few years, it has become much more commonplace to find the brewery’s products on draft at your local pub or at your nearest retailer. Such a marketplace presence did not happen overnight, and the brewery credits the lessons learned from Six Sigma as having […]

In 1985, Coca-Cola embarked on what has since been viewed as one of the worst marketing blunders in history. The customer response as well as how Coca-Cola decided to reformat how it dealt with customers, informed how the beverage company would modify its processes for decades to come. When Coca-Cola discontinued its original formula and […]

On the Success Stories podcast with Marshall Atkinson, Ali Banholzer of Wear Your Spirit Warehouse discussed how Lean Six Sigma was utilized to increase profit margins for her company as she worked towards achieving a Six Sigma Black Belt. When a small business goes through a period of growth, it can become painfully clear that […]

Measurables indicate how a process is performing or how customer expectations are being met. These indicators are quantifiable, expressed numerically, and can have units of measurement. There are two kinds of these indicators. They are process measurables and result measurables. It is important in any business to know if you are meeting the expectations of […]

Not all experiments are created equal. Learn how randomization can improve the validity of any business’ experiments aligned with Six Sigma principles. Randomization in Six Sigma Business owners and managers want to know what works and what doesn’t when it comes to existing processes and methods of operation. Running experiments and assigning inputs and outputs […]

In discussions about the Six Sigma methodology, you will often find the equation Y=F(x). It is an important formula in working with the methodology and can serve as a very helpful tool in project management. When working with the Y=f(x) formula, X stands for the various inputs utilized to generate an outcome, while f represents […]

Xerox went from being an industry leader to resting on its laurels. Their focus shifted away from improvement for the benefit of their customers. This, coupled with a financial scandal, brought the organization to the point where many financial experts believed that bankruptcy was on the horizon. A major shift in how Xerox did business […]

What is the point of having a bunch of raw data if you don’t have the tools to analyze it? Regression models provide you with the ability to see if there is a relationship between two types of variables, helping make some sense of data that has been collected by fitting it to a line. […]

Arrow Electronics had already been utilizing Six Sigma practices when it introduced its drone project in 2016 at its two main distribution centers in Malaysia and Asia. The drone project gained them further recognition for their use of Six Sigma methodology and helped usher in a new era of using drones in warehouses in the […]

You are probably familiar with the notion that there are costs of poor quality, often shown as COPQ. These represent both internal and external failures to maintain good quality. There are also costs associated with maintaining good quality sometimes represented as COGQ. These costs represent appraisal and prevention costs. Total Cost of Quality (TCOQ) is […]

When an organization attempts to implement a Six Sigma deployment, somebody needs to be selected to lead and manage it. Champions are upper-level managers who lead the execution of the Six Sigma deployment plans for the organization. That makes it one of the most critical roles in the eventual success of your Lean Six Sigma […]

It is often not possible or practical to collect all the data from your process. It can be too costly or take too much time. It may not be possible to access all the data. If this situation exists in your process, then you will need to sample your data. Overview: What is sampling?  There […]

Many statistical tools assume normality. Is there an option if my data is not normal? Transforming your data might help. Some statistical methods, such as hypothesis testing, have an underlying assumption of the normality of your data before they can be used. Although control charts are generally robust to normality issues, sometimes the data is […]

What are you blending when you speak about blended learning? You are combining face to face classroom learning with an instructor and online or computer driven learning. Let’s learn a little more about this concept of learning. In the 1960’s, technology-based training emerged as an alternative to instructor-led training. One of the major advantages of […]

The term levels is used in the context of Design of Experiments (DOE) and refers to the different settings you can use for running your experiments. Let’s look at this in a little more detail. The purpose of doing a Design of Experiments (DOE) is to identify what variables or factors have a causal effect […]

A binomial distribution can be described as the probability of a binary outcome in an activity that is repeated multiple times. It is a distribution of discrete data rather than continuous data. For example, a coin toss has only two possible discrete outcomes: heads or tails. Inspecting and testing a manufactured part can have two […]

In the context of Six Sigma and Continuous Improvement, a root cause is defined as an issue or factor that causes a nonconformance or defect which, if eliminated, will improve the process. The root cause is the base issue which sets a cause-and-effect reaction in motion eventually resulting in a problem. Overview: What is root […]

ISO 9000 is a series of standards, developed and published by the International Organization for Standardization (ISO). It defines, establishes, and maintains an effective quality management system for manufacturing and service industries. Overview: What is the ISO 9000 series?  ISO 9000 is a series of individual standards. The core standards contained within the series are: […]

There are two broad categories of data in statistics: quantitative data and categorical data. Quantitative data is something you measure or count while categorical data presents data in categories or groups rather than the actual values themselves.  Overview: What is quantitative data?  Quantitative data describe values and numbers which are measured or counted and can […]

The strategy of continuously improving your organizational processes by setting your goals, identifying deviations from those goals, and then taking appropriate actions to adjust your processes to close the gaps.

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.

Tests that do not require a specific distribution to be valid.

The difference between the first and third quartiles.

A frequency plot is a graphical representation of the distribution of continuous data based on how often a particular value occurs.

A term used to describe CEO, CFO, COO, CIO, and other senior executives within an organization.

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 statistical tool for describing a causal relationship between variables using controlled experiments.

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

Quantitative data represents values and numbers which can be measured or counted and used in mathematical operations such as addition, subtraction, multiplication, or division.

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

The 5Z process uses the Genba (Gemba) Kanri principles to maintain, evaluate, promote, and improve control of your process.

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.

The union between conventional customer relations and integrated software solutions.

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.

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.