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    A change in process increases silver recovery rates at Fresnillo; boosting monthly revenue by over $2 million

    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.

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    Over 50% increase in concentrate phosphate rock production at Mosaic's Windgate Mine

    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.

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    Related Blog Articles

    Why Is It Always Better to Perform a Design of Experiments (DOE) Rather than Change One Factor at a Time?

    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?

    8 Expert Tips for Excellent Designed Experiments (DOE)

    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?

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    Striking Gold with Minitab: Newcrest Mining Limited

    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.

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    Leveraging data analysis to reduce process variation at Metalor

    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.

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