Thiess and IBM Work Together to Improve Thiess’s Efficiency

March 12, 2014

The article titled IBM and Thiess Collaborate on Predictive Analytics and Modeling Technologies on Mining-Technology.com explores the partnership of IBM and Thiess, an Australian construction, mining and service provider. The collaboration is centered on both predictive analytics in regards to maintenance and replacement information as well as early detection of malfunctions. The article states,

“Thiess Australian mining executive general manager Michael Wright said the analytics and modeling can offer great opportunities to improve business of the company. “Working with IBM to build a platform that feeds the models with the data we collect and then presents decision support information to our team in the field will allow us to increase machine reliability, lower energy costs and emissions, and improve the overall efficiency and effectiveness of our business,” Wright said.”

This is another big IBM bet. The collaboration will start with Thiess’s mining haul trucks and excavators. Models will be constructed around such information as inspection history of the equipment, weather conditions and payload size. These models will then be used to help make more informed decisions about operational performance, and will allow for early detection of anomalies as well as predictions about when a piece of equipment will require a replaced part. This will in turn allow Thiess to plan productions more accurately around the predicted health of a given machine.

Chelsea Kerwin, March 12, 2014

Sponsored by ArnoldIT.com, developer of Augmentext

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