Category: Concepts

If you have your three laboratory technicians measure the same samples using the same equipment and measurement process will they give you the same answers? Let’s learn more about the concept of reproducibility.

When you talk about Design of Experiments, you can discuss the 3 Big R’s; Randomization, Repetition and Replication. Let’s learn more about Replication and contrast that with the other R’s. 

The correlation coefficient (r) answers the question of how strong and in what direction is the relationship between two continuous variables. Let’s explore this statistical descriptor and what it tells you about your data.

Short description: With the increasing demand for Lean Six Sigma to address the rising costs of product and service quality, the “Probability of Defect” concept is still very relevant in today’s environment of process improvement.

Embarking on projects without any formalized, thought-out process involved can be fine when you are keeping it small or routine. This sort of fly-by-night approach is not recommended when there is anything major actually at stake.

It is inevitable that change happens, whether it be temporary or permanent. Whether you are on the supply side or the manufacturing side of engineering, for permanent changes it is likely you are going to encounter an SREA.

The Glenday Sieve approach can help companies improve business processes, boost profits and eliminate waste and underperformance.

There are some common everyday terms that can mean one thing, but that can be a bit more nuanced when it comes to Six Sigma. One of these terms is “opportunity”. Read on to find out what it means when it comes to Six Sigma.

The ability to find and create opportunities is of paramount importance in terms of innovation and growth for your business. Being able to find opportunities is one thing, but can opportunities be created?

Will having a Master Black Belt help your organization beat up your competitors? Yes. By having a skilled and experienced Master Black Belt, your organization will have the capabilities to improve all that they do and gain competitive advantage. Let’s see how.

Can your process meet the expectations and specifications of your customer? The Process Capability Index is a simple way of answering that question. Let’s see how.

What is the most efficient way for an employee to complete a task? Could the way they are getting the job done improve? Could it be safer? Predetermined motion time systems help to answer these questions.

It is important to be able to see your processes, projects, and services from every conceivable viewpoint. Putting together FAST diagrams can achieve this while doing it in a collaborative and potentially even fun way.

The Lean Six Sigma inspection plan is a very useful tool for creating a quality control program that achieves high-quality results and customer satisfaction. If you are looking for a way to streamline your organization’s quality assurance goals, you will greatly benefit from this comprehensive guide.

In business, the durability and longevity of machines utilized in operations are integral for optimal production. This can be planned for using the Kaplan-Meier estimator.

When dealing with data and statistics, there is no certainty. As the researcher, you get to choose the level of confidence you need to make your decisions.

Short description: Before you can improve anything, you’ve got to be able to identify the areas that you can improve. This is what the Lean Six Sigma principle of muda is all about: identifying where waste is happening and eliminating it.

The power of data can be harnessed by understanding the benefits, best practices, and proper use of process indicators. Quantifying process performance allows for clear analysis of operations.

Your data has failed the assumption of normality needed for a parametric test of hypotheses. If you have two or more groups you want to analyze, what do you do? Maybe the Mood’s Median Test will help. 

To answer the question of how strong and in what direction is the relationship between two continuous variables you would use the Pearson correlation coefficient (r). Let’s learn more about this statistical descriptor and what it tells you about your data.

Sometimes you are interested in analyzing data that is not measurable. Nominal data consists of unordered categories which can be counted but not measured.  

When you hear the phrase Mallows’ Statistic (Cp) think of multiple regression analysis. The question you want to answer is which combination of predictor variables will give you the best prediction model. Let’s learn a little more. 

What is an independent variable and why is it important to understand? And how is it different from a dependent variable? Let’s answer those questions for you.

The design, collection and analysis of experimental data takes significant time and resources. Careful consideration of the potential cause and effect relationships is key along with an understanding of variables that can influence both cause and effect. These confounding variables are ever present but their influence can be mitigated with good experimental design.