Minitab helps to increase efficiency by boosting production without compromising quality through
analysis of techniques and processes.
Develop and improve on processess to support sustainable growth.
The team at Fresnillo, one of the world’s largest primary silver producers, used Minitab to
apply a statistical technique called Design of Experiments (DOE), to simultaneously assess
the relationships between multiple variables in the lead extraction process, such as raw
material, water, air, and chemical reagents that separate the silver from lead.
Harness the power of analytics to improve operations across the value chain.
Using Minitab’s capability analysis, Mosaic was able to increase production in their Windgate
Mine, where previous owners of the mine had struggled to see results.
Intuitively, when facing a complex problem, we tend to test
different solutions as soon as they come to our mind. When we understand that one
solution will not work, we will then look for the next potential solution in order
to test it and so forth. This is what we will call the one-factor-at-a-time
approach. Why is it better to perform a Design of Experiments (DOE) rather than
change One Factor at a Time, then? And what are the multiple benefits of an
If your work involves quality improvement, you've at least heard
of Design of Experiments (DOE). You probably know it's the most efficient way to
optimize and improve your process. But many of us find DOE intimidating, especially
if it's not a tool we use often. How do you select an appropriate design, and ensure
you've got the right number of factors and levels? And after you've gathered your
data, how do you pick the right model for your analysis?
Minitab’s statistical power and easy-to-understand graphics helped the
Newcrest team make significant strides in boosting the productivity of
Newcrest’s Cadia Hill mine.
Using the Design of Experiment (DOE) tools in Minitab, as well as some DOE
best practices of its own, Metalor set out to determine how density and
surface area were affected by three key process inputs: reaction
temperature, ammonium level, and stir rate.
For more than 40 years, companies around the globe have trusted Minitab software to
analyze their data and organize their quality improvement projects.
Companies need continuous improvement strategies. They need to employ
continuous improvement experts working with their leaders all the way to the
people who are running the equipment to understand what information’s
available and how they use it to drive their processes. ... Continuous
improvement can be as simple as organizing our workplace so that people can
find the tools that they need to do their jobs more efficiently, when they
have a certain task to perform or it can be as advanced as, using Minitab
tools to solve complex data analysis problems. Regardless of the complexity
or need for continuous improvement, it's ever present ...
Powerful statistical software
everyone can use.
Data access, automation, and governance for comprehensive insights.
Machine Learning and Predictive
Master statistics and Minitab
anywhere with online training.
Visual tools to ensure process and
Tools and reporting to ensure
process and product excellence.