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DIGITALISATION
ed machinery. However, it will be essential to ensure capacity for modern industry. IFAC Proceedings Volumes 44 (1),453-
utilization of these machinery. To this end the maintenance 458.
engineering must be augmented. Application of advanced Jardine, A. K., Lin, D., & Banjevic, D. (2006). A review on ma-
information technology for e-maintenance or smart mainte- chinery diagnostics and prognostics implementing condi-
nance of mining machinery is now the demand of the time tion-based maintenance. Mechanical systems and signal pro-
and our mining industry must get prepared for it. cessing 22(7) 1483-1510.
Muller,A., Marquez,A. C., & Lung, B. (2008). On the concept of
REFERENCES e-maintenance: Review and current research. Reliability Engi-
neering & System Safety 93 (8),1165-1187
Pang, Y. and Lodewijks, G,, 2011, The Application of RFID
Angeles, R. (2005). RFID technologies: supply-chain applica- Technology in Large-scale Dry Bulk Material Transport System
tions and implementation issues. , (1), 51-65. Monitoring , 978- 1-4577-0609-7/11/$26.00 ©2011 IEEE,
EN, C. (2007). 15341: Maintenance maintenance key perfor- https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&a rnum-
mance indicators. Holmberg, K., Adgar, A., Arnaiz, A., Jan- ber=6067043&tag=1
tunen, E., Mascolo, J., & Mekid, S. (Eds.). (2010). E-mainte- Thurston, M., & Lebold, M. (2001). Standards developments
nance Springer Science & Business Media. for cPennsylvania State Univ University Park Applied Research
Jantunen, E., Emmanouilidis, C., Arnaiz, A., & Gilabert, E. Lab.187
(2011). E-Maintenance: trends, challenges and opportunities
Mining Industry needs moving towards e-mainienance to mote operation adoption across mine sites and plants by
get rapid corrective actions taking the service of internet including additional data analytics and visualization for
of things. the next level of optimization. With the integration of the
mining process across the value chain, real time data from
Conceptual framework of e-Maintenance downstream process to upstream
processcan providean opportunity
for high impact improvementin in-
tegration.
IoT further enhances this because
of the integration which can lead
to game-changing activities like real
time databased mine plan optimiza-
tion.
However, the mining industry must
conduct cost-benefit analyses be-
fore implementations on any par-
ticular case to avoid high risk capital
investment. Optimization of mining
processes could be possible by ap-
plication of IoT and data analytics. It
is opined that organizations can look
at off-the-shelf products rather than
customized solutions for cost savings
but the important thing is the re-
Vasuki Upadhyay of WIPRO says mining industry could alization that even a small step towardsthis direction can
be highly benefitted by the recent developments in In- change the future of an organization.
ternet of Things (IOT). IOT solutions can complement re-
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