Blog posts and articles about using data analysis and statistics in quality improvement initiatives in the automotive sector.

by Matthew Barsalou, guest blogger The field of statistics has a long history and many people have made contributions over the years. Many contributors to the field were educated as statisticians, such as Karl Pearson and his son Egon Pearson. Others were people with problems that needed solving, and they developed statistical methods to solve these problems. The Standard Normal Distribution One... Continue Reading
Purchasing a used car can be stressful due to all the factors that need to be considered. Web sites such as www.cars.com provide you a wealth of information, but how do you navigate through it all to find the best deal? Minitab to the rescue. Once you narrow your choice down to a particular car model, such as an Acura TSX, the data from www.cars.com can be copied and pasted into Minitab. After some... Continue Reading
All processes are affected by various sources of variations over time. Products which are designed based on optimal settings, will, in reality, tend to drift away from their ideal settings during the manufacturing process. Environmental fluctuations and process variability often cause major quality problems. Focusing only on costs and performances is not enough. Sensitivity to deterioration and... Continue Reading
You know the drill…you’re in Six Sigma training and you’re learning how to conduct a design of experiment (DOE). Everything is making sense, and you’ve started thinking about how you’ll apply what you are learning to find the optimal settings of a machine on the factory floor. You’ve even got the DOE setup chosen and you know the factors you want to test … Then … BAM! … You’re on your own and you... Continue Reading
When I talk to quality professionals about how they use statistics, one tool they mention again and again is design of experiments, or DOE. I'd never even heard the term before I started getting involved in quality improvement efforts, but now that I've learned how it works, I wonder why I didn't learn about it sooner. If you need to find out how several factors are affecting a process outcome,... Continue Reading
Measurement systems analysis (MSA) is essential to the success of any data analysis. If you cannot rely on the tool you’re using to take measurements, then why bother collecting data to begin with? It would be like trying to lose weight while relying on a scale that doesn’t work. What’s the point in weighing yourself? Minitab Statistical Software offers many types of tools that you can use to... Continue Reading
In my last post we looked at different discrete distributions and how you can use them. This time, I’ll show you how to determine whether your data follow a specific discrete distribution. (Read here to see how to identify the distribution of your continuous data.) Before we start testing discrete distributions, we need to distinguish between two general cases. In some cases, it is more important... Continue Reading
Previously, I’ve written about how to use Minitab to identify the distribution of your continuous data. That blog post prompted several questions about how to use and identify discrete distributions. If you are a quality improvement analyst who works with counts of defects or pass/fail inspections, you may be particularly interested in these types of discrete distributions. In this blog, I’ll show... Continue Reading
by Manikandan Jayakumar, guest blogger We use Design of Experiments (DOE) to optimize the value of a response (Y) by simultaneously changing the values of several factors (X’s). The response will often be a continuous variable, but in some scenarios you need to optimize an attribute or categorical response (Pass/Fail, Accept/Reject, etc.).  Collecting the Data for an Attribute Response DOE Let’s see... Continue Reading
Today we announced the winner of the Minitab Experiment ContestFord, Bobcat, Smith & Nephew, Metalor, and more than a dozen other companies from many different industries entered the contest, which focused on using a statistical technique called Design of Experiments (DOE) to solve business problems.Quality improvement professionals use DOE to create experiments that provide insight into how... Continue Reading