DRIVING DATA-DRIVEN OPERATIONS

MINITAB HAS DEVELOPED COMPREHENSIVE, EASY-TO-USE STATISTICAL SOFTWARE THAT BOOSTS PRODUCTIVITY AND SAVES COSTS ON MINE SITES.

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Mining companies are increasingly leveraging Minitab Statistical Software to optimise operations, improve resource recovery, and reduce costs.

The solution helps operators make informed decisions by analysing large datasets from sensors, equipment logs, and geological surveys, organising “noisy data” and giving miners greater oversight of their operations.

“Harsh conditions can lead to incomplete or noisy data, making it difficult to build reliable models,” Minitab analytics solutions design manager Bass Masri told Australian Mining.

“Minitab helps overcome these challenges by cleaning and organising data for meaningful insights.”

Beyond resource recovery, Minitab Statistical Software plays a vital role in safety and environmental monitoring. The software can analyse historical safety data to identify common incident causes, such as equipment failures or human error.

Through real-time statistical process control (RTSPC), Minitab can also monitor pollutants like heavy metals and particulate matter to detect anomalies and confirm the effectiveness of environmental mitigation measures.

“Using the predictive analytics module (PAM) and machine learning techniques, Minitab enables mining companies to create predictive models for safety and environmental metrics, helping them take proactive measures to reduce risks,” Masri said.

The Fresnillo case study highlights Minitab’s use of design of experiments (DOE) to optimise silver recovery at the Saucito mine in Mexico.