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Editor's Pick (1 - 4 of 8)
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IoT: Enabling the Safer, Connected Warehouse

Steve Walker, CIO & COO, DHL Supply Chain Asia Pacific

IOT-Turning out to be a phase of evolution

Mayank Bhargava, CIO, DHFL Pramerica Life Insurance

Connecting dots the IoT way!

Sunil Singh, Regional Chief Information Officer, Coca-Cola Beverages Vietnam

Industrial Scientific Blazes a Trail in IoT

David DiLeo, CIO, Industrial Scientific Corporation

How Internet of Things (IoT) will Rewire Supply Chains

Chad Lindbloom, CIO, C.H. Robinson

What's The CIO Got To Do With The IoT?

Sharon Gietl, VP of Information Technology and CIO, The Doe Run Company

The Internet of Things, in the Real World

Manuel Bautista, CIO, Harvard Maintenance

IoT Platforms: What are they and do you need one?

Tekin Gülşen, CIO, IT Director, Brisa Bridgestone Sabancı

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IoT Enabling Mining Businesses to be More Competitive

CIOAdvisor Apac | Saturday, December 21, 2019
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The pressure to reduce product prices, rising labor cost, and difficulty to find high-quality deposits in lower sovereign risk countries, is compelling the mining industry to adopt IoT technology to gain a competitive advantage. The numerous ways in which IoT can assist the mining businesses to remain competitive are as follows:

1. Remote monitoring ensures enhanced efficiency and security due to better traceability and visibility.
2. Automation of machine operation and maintenance that leads to novel collaboration models with OEMs for monitoring purposes.
3. Increased safety of man and machine through optimization and coordination of mining operations.
4. Standardization augments agility and novelty in business models at the operations level.
5. Possibility of Predictive maintenance enables the reduction of costs and promotes rapid response to events. Spare parts of machinery or manpower can also be ordered/prepared in advance.
6. Real-time data and analytics with 3D visualization tools and sensors are used by geologists, mine planners, supervisors, drilling teams, and pit controllers to measure oil temperature, contamination, engine speed, tire and brake pressure, frame rack, bias and pitch, and vibration. Such data aids in scheduling maintenance and alerting workers about potential problems.

See Also: CIOReview APAC

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