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 experimental design?
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.