“Fill the Mill” How effective analytics will drive productivity and reduce costs By Jeff Armstrong, Director of Strategic Industries, Jump Analytics ous systems used to run their mine sites. They often spend too much time performing manual data pulls and
manual
data
reconciliations,
leading to untimely and inaccurate reporting. This, in turn can lead to in-
In an industry that is demanding,
The advanced applications of tech-
competitive, and always evolving,
nology are allowing the industry to
mining companies need to maxi-
look at ways to drive automation and
mize their production efficiency. To
efficient processes when it comes to
meet this objective, mine operators
data collection, data streaming, and
need to rely on the unbiased truths
data analytics. However, many min-
of accurate data to support and drive
ing companies face challenges in
tions, consolidate and align views of
their decision making.
pulling together data from the vari-
that data, and present those views
efficiencies and worse, safety issues. In order to optimize productivity and mitigate risks, companies must be able to access clean, accurate data from each area of their opera-
in timely, automated, and accurate reports. This adjustment allows companies to be proactive with their data rather than reactive. Let’s look at just one scenario faced by mining companies.
Putting analytics to work In the world of mining, safety is priority number one. Period. Next on the scale of importance, hitting your operational targets is what drives the business forward. Setting your targets, yes that’s the easy part, but knowing with certainty what affects your chances of hitting or exceeding your target can be challenging, given the unlimited variables interrelated to the target at hand. “Fill the mill” they say! Ok, let’s go! Let’s assume the scenario of material movement. You added 10 per cent more capacity to the fleet, and they have been 100 per cent available for the past two weeks, but there’s barely been an increase in material
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