Skip to main content

Improving mining machine performance

World Coal,


Joy Global and IBM have entered into a partnership aimed at improving mining machine performance, while reducing downtime and costs.

Joy Global selected IBM Big Data and Analytics technology – including IBM’s advanced predictive analysis – to enhance Joy Global Smart Services.

Smart Services deliver mining customers real-time analytics that predict machine failures and recommend preventative actions. The cloud-based, mobile-enabled IBM solution could take Smart Services from individual customer level to worldwide fleet level – allowing Joy Global to analyse big data from all Smart Services-connected mining machines.

Both IBM and Joy Global expect that the ability to analyse and compare operating data from a worldwide fleet of machines will enable quick identification of anomalies in machine performance, leading to continuous improvement in mining machine performance.

Ben Snyman of Joy Global said “applying IBM’s Big Data products and expertise will result in a significant and highly differentiated business advantage for Joy Global and Joy Global customers.”

Jerry Kurtz of IBM said: “Joy Global’s goal is to help customers increase production and reduce operating costs, while maintaining a focus on zero harm, in a highly technical and challenging industry. IBM will help Joy Global boost its Smart Services through the innovative design and implementation of a truly holistic BIG Data and analytics solution.”

Adapted from press release by Sam Dodson

Read the article online at: https://www.worldcoal.com/mining/29102014/joy-global-and-ibm-in-partnership-1504/

You might also like

EMI

Electrification in Mining virtual conference

Join us on 16 April 2024 for Global Mining Review's first Electrification in Mining event is an interactive virtual conference, focusing on electrification as the future of sustainable mining and exploring the innovative approaches and technologies being developed to facilitate its implementation.

Register for FREE »

 
 
 

Embed article link: (copy the HTML code below):