Predictive asset availability optimization for underground trucks and loaders in the mining industry

Author:

Patil Sunil D.ORCID,Mitra Abhishek,Tuggali Katarikonda Krishnaveni,Wansink Jan-Douwe

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Information Systems,Management Information Systems

Reference37 articles.

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2. Mobley, R.K.: An Introduction to Predictive Maintenance, 2nd edn. Butterworth-Heinemann, Oxford (2002)

3. Adsero, R., Lumley, G.: What will halt the worldwide decline in mine equipment performance? In: 2013 SME Annual Meeting & Exhibit and CMA 115th National Western Mining Conference, Denver, Colorado, USA, 24–27 February 2013, preprint 13–113 (2013)

4. Ernst & Young.: Productivity in Mining: now comes the hard part, a global survey. EYGM Limited. http://www.ey.com/Publication/vwLUAssets/EY-productivity-in-mining-now-comes-the-hard-part/$FILE/EY-productivity-in-mining-nowcomes-the-hard-part.pdf (2014). Accessed 28 October 2018

5. Knights, P. and Liang, L.: Mine data analytics—new skills required for tomorrow’s mines. Second International Future Mining Conference, Sydney, Australia, 22–23 November 2011. Carlton, Australia: The Australasian Institute of Mining & Metallurgy (2011)

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