If you have a process that isn’t
meeting specifications, using the Monte Carlo simulation and
optimization tool in Companion by Minitab can help. Here’s how you,
as a chemical technician for a paper products company, could
use Companion to optimize a
chemical process and ensure it consistently delivers a paper
product that meets brightness standards.
brightness of Perfect Papyrus Company’s new... Continue Reading
As someone who has collected and analyzed real data for a
living, the idea of using simulated data for a Monte Carlo
simulation sounds a bit odd. How can you improve a real product
with simulated data? In this post, I’ll help you understand the
methods behind Monte Carlo simulation and walk you through a
simulation example using Companion by Minitab.
Companion by Minitab is a software platform that... Continue Reading
you ever tried to install ventilated shelving in a closet?
You know: the heavy-duty, white- or gray-colored vinyl-coated wire
shelving? The one that allows you to get organized, more efficient
with space, and is strong and maintenance-free? Yep, that’s the
one. Did I mention this stuff is strong? As in,
really hard to cut?
It seems like a simple 4-step project. Measure the closet, go
the... Continue Reading
Earlier, I wrote about the
different types of data statisticians typically encounter. In
this post, we're going to look at why, when given a choice in the
matter, we prefer to analyze continuous data rather than
categorical/attribute or discrete data.
As a reminder, when we assign something to a group or give it a
name, we have created attribute or
categorical data. If we count something,
like... Continue Reading
You run a capability analysis
and your Cpk is bad. Now what?
First, let’s start by defining
what “bad” is. In simple terms, the smaller the Cpk, the more
defects you have. So the larger your Cpk is, the
practitioners use a Cpk of 1.33 as the gold standard, so we’ll
treat that as the gold standard here, too.
Suppose we collect some data and run a capability analysis using
by Kevin Clay, guest blogger
In transactional or service processes, we often deal with
lead-time data, and usually that data does not follow the normal
Consider a Lean Six Sigma project to reduce the lead time
required to install an information technology solution at a
customer site. It should take no more than 30 days—working 10 hours
per day Monday–Friday—to complete, test and... Continue Reading
In Part 1 of this blog series, I
compared Six Sigma to a diamond because both are valuable, have
many facets and have withstood the test of time. I also explained
how the term “Six Sigma” can be used to summarize a variety of
concepts, including philosophy, tools, methodology, or metrics. In
this post, I’ll explain short/long-term variation and
between/within-subgroup variation and how they help... Continue Reading
People can make mistakes when they test a hypothesis with
statistical analysis. Specifically, they can make either Type I or
Type II errors.
As you analyze your own data and test hypotheses, understanding
the difference between Type I and Type II errors is extremely
important, because there's a risk of making each type of error in
every analysis, and the amount of risk is in your
if... Continue Reading
Welcome to the Hypothesis Test Casino! The featured game of the
house is roulette. But this is no ordinary game of
roulette. This is p-value roulette!
Here’s how it works: We have two roulette wheels, the Null wheel
and the Alternative wheel. Each wheel has 20 slots (instead of the
usual 37 or 38). You get to bet on one slot.
What happens if the ball lands in the slot you bet on? Well,
that depends... Continue Reading
now I’m enjoying my daily dose of morning joe. As the steam rises
off the cup, the dark rich liquid triggers a powerful enzyme
cascade that jump-starts my brain and central nervous system,
delivering potent glints of perspicacity into the dark crevices of
my still-dormant consciousness.
Feels good, yeah! But is it good for me? Let’s see what the
Drinking more than 4 cups of coffee... Continue Reading
To make objective
decisions about the processes that are critical to your
organization, you often need to examine categorical data. You may
know how to use a t-test or ANOVA when you’re comparing measurement
data (like weight, length, revenue, and so on), but do you know how to compare
attribute or counts data? It easy to do with statistical software
One person may look at
this bar... Continue Reading
by Rehman Khan, guest blogger
There are many articles giving
Minitab tips already, so to be different I have done
mine in the style of my books, which use example-based learning. All
ten tips are shown using a single example.
If you don’t already know these 10 tips you will get much more
benefit if you work along with the example. You don’t need to
download any files to work along—although, if you... Continue Reading
In its industry guidance to companies that manufacture drugs and
biological products for people and animals, the Food and Drug
Administration (FDA) recommends three stages for process
my last post covered
statistical tools for the Process Design stage, here we will
focus on the statistical techniques typically utilized for the
second stage, Process Qualification.
Stage 2: Process... Continue Reading
In my last post on
DMAIC tools for the Define phase, we reviewed various graphs
and stats typically used to define project goals and
customer deliverables. Let’s now move along to the tools you can
use in Minitab
Statistical Software to conduct the Measure phase.
Measure Phase Methodology
The goal of this phase is to measure the process to
determine its current performance and quantify the problem.... Continue Reading
Process validation is vital to the success of companies that
manufacture drugs and biological products for people and animals.
According to the FDA guidelines published by the U.S. Department of
Health and Human Services:
“Process validation is defined as
the collection and evaluation of data, from the process design
state through commercial production, which establishes scientific
evidence that a... Continue Reading
by Matthew Barsalou, guest blogger
The great Dr. Seuss tells of Mr. Plunger, who is the custodian
at Diffendoofer School on the corner of Dinkzoober and Dinzott in
the town of Dinkerville. The good Mr. Plunger “keeps the whole school clean” using a
Unfortunately, Dr. Seuss fails to tell us where the
supper-zooper-flooper-do came from and if the production process
was... Continue Reading
you’re working in Minitab and prepping your data for analysis, it’s
common to group data into categories that imply a specific order,
such as Low, Medium, High or Beginning, Middle, End.
But if the data were to appear in a different order in tables
and graphs (for example, Beginning, End, Middle), the result could
be confusing, and might distract from your message.
Fortunately, with Minitab’s va...Continue Reading
For all you creative and fun-loving folks out there, in this
blog post I'm going to share a puzzle instead of a story or lesson.
The holiday season is getting into full swing here in the United
States, and that gives us an opportunity to pause and reflect, and
even have a little fun while still thinking about how we can
improve our processes and products.
Perhaps you're wondering what a puzzle... Continue Reading
2 of this blog series, I wrote about how statistical
inference uses data from a sample of individuals to reach
conclusions about the whole population. That’s a very powerful
tool, but you must check your assumptions when you make statistical
inferences. Violating any of these assumptions can result in false
positives or false negatives, thus invalidating your
The common... Continue Reading
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