Skip to main content

Intelligent Enterprise with Industry 4.0 for Mining Industry

  • Conference paper
  • First Online:
Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019 (MPES 2019)

Part of the book series: Springer Series in Geomechanics and Geoengineering ((SSGG))

Included in the following conference series:

Abstract

The mining industry is under transformation as digital and automated technologies transform the traditional process of extracting ore from rock. With high global demand of raw materials, reduced ore grades, stringent environmental legislation and less profit margin, the mining industry has to improve its productivity through smart mining to survive in the competitive market.

In smart mining, it is imperative to have a real-time flow of information between enterprise level systems and shop floor systems through application such as ERP. A mining company needs instantaneous visibility on production, quality, cycle times, machine status, and other variables in order to achieve optimum operations which necessitates intelligent enterprise with industry 4.0.

Industry 4.0 technologies provide deeper understanding of resource base, optimization of material and equipment flow, improved anticipation of failure, increased automation such as automated surveying using drones and 3D laser technology, automated drills, automated mobile fleets using fleet management system, automated plants. It also helps in monitoring real time performance vs plan and safety of men and machineries. By using Internet of Things (IoT), Big data, Machine to Machine (M2M), data analytics, intelligent sensors, robotics, drone the smart mining will be up graded with industry 4.0 in mining activities such as surveying, drilling, blasting, excavation. Haulage, processing and transportation.

The orientation of the paper revolves around various action plan for intelligent enterprise with industry 4.0 for improving their productivity to become more competitive globally.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Nanda, N.K.: Optimisation of mine production system through operation research techniques. In: Application of Technology for Sustainable Mining, Topic 9, pp. 115–130 (2017)

    Google Scholar 

  2. Singh, D., Tripathi, G., Jara, A.J.: A survey of Internet-of-Things: future vision, architecture, challenges and services. In: 2014 IEEE World Forum on Internet of Things (WF-IoT), pp. 287–292 (2014)

    Google Scholar 

Download references

Acknowledgement

The author is thankful to all colleagues who interacted for formulating this paper Thanks are also due to organisers of the conference for giving the opportunity to share the views.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nanda, N.K. (2020). Intelligent Enterprise with Industry 4.0 for Mining Industry. In: Topal, E. (eds) Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019. MPES 2019. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-33954-8_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-33954-8_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33953-1

  • Online ISBN: 978-3-030-33954-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics