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Digital Applications in Metals and Mining Industry

Received: 16 February 2018     Accepted: 16 March 2018     Published: 11 April 2018
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Abstract

The Industrial Internet of Things is opening opportunities for mining and metals companies to pursue visibility, safety, and efficiency like never before. There are many aspects of this industry that make it an ideal candidate for transformation. These include large physical environments, changing market and environmental conditions, and the massive size and amount of equipment. Additionally, the challenges of assessing asset conditions against maintenance schedules and logistical constraints must be met. The Industrial Internet of Things (IIoT) is at the heart of this transformation. It connects people, machines, items, and services to streamline the flow of information, enable real-time decisions, and open new opportunities in mining and metals. Leading companies are already investing billions in the Industrial Internet of Things and realizing returns that range from increased asset uptime and efficient predictive maintenance to autonomous fleets of vehicles able to move more goods. This paper will be talking about various digital applications available for the Metals and Mining industry. Companies can use advanced analytics to extract management-relevant information from the large amounts of unstructured data that they generate. This information can then be used to improve how mines are run and to make better-informed and speedier decisions across the full range of the mining business processes. The applications start from design & engineering followed by supply chain management, production & maintenance management, transport & logistics management. This paper will briefly discuss about variety of enterprise level real time performance solutions in various fields of the Metals and Mining industry.

Published in American Journal of Operations Management and Information Systems (Volume 3, Issue 1)
DOI 10.11648/j.ajomis.20180301.15
Page(s) 33-37
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Digitalization, Metals and Mining, Safety, Digital, Automation, IIoT, Engineering

References
[1] World Economic Forum. (2009). Mining & Metals: Scenarios to 2030. Retrieved from http://www.weforum.org/reports/mining-metals-scenarios-2030.
[2] Dassault Systems GEOVIA. (2014). Special Report on Mining Innovation. Retrieved from http://www.gemcomsoftware.com/special_report.
[3] Duffy, P. (2013). Beyond MQTT: A Cisco View on IoT Protocols. Cisco Blogs. Retrieved from http://blogs.cisco.com/ioe/beyond-mqtt-acisco-view-on-iot-protocols/.
[4] Innovative Technologies and Concepts for the Intelligent Deep Mine of the Future. (2013). Machines to optimize exploitation. Retrieved from http://www.i2mine.eu/content/open_access/machines-optimise-exploitation.
[5] Frost & Sullivan. (2014, June 19). Industry Scorecard for the Global Mining Industry: Strategic Analysis of the Top Industry Trends and Evaluation of Key Growth Opportunities. Retrieved from http://www.frost.com/prod/servlet/report-brochure.pag?id=NCDF-01-00-00-00.
[6] Frost & Sullivan. (2014, June 19). Industry Scorecard for the Global Mining Industry: Strategic Analysis of the Top Industry Trends and Evaluation of Key Growth Opportunities. Retrieved from http://www.frost.com/prod/servlet/report-brochure.pag?id=NCDF-01-00-00-00.
[7] Regalado, A. (2014, May 20). GE’s $1 Billion Software Bet. MIT Technology Review. Retrieved from http://www.technologyreview.com/news/527381/ges-1-billion-software-bet/.
[8] The innovation in mining: Australia 2016 study. Retrieved from https://www2.deloitte.com/au/en/pages/energy-and-resources/articles/innovation-mining.html.
[9] IIoT Technologies and Connected Services. Retrieved from https://www.emersonprocessxperts.com/2016/11/iiot-technologies-and-connected-services/.
[10] Big data and IIOT. Retrieved from http://www.hinditron.com/solutions/big-data-iot/.
Cite This Article
  • APA Style

    Sanjay Dehran, Pragati Agrawal, Praveen Midha. (2018). Digital Applications in Metals and Mining Industry. American Journal of Operations Management and Information Systems, 3(1), 33-37. https://doi.org/10.11648/j.ajomis.20180301.15

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    ACS Style

    Sanjay Dehran; Pragati Agrawal; Praveen Midha. Digital Applications in Metals and Mining Industry. Am. J. Oper. Manag. Inf. Syst. 2018, 3(1), 33-37. doi: 10.11648/j.ajomis.20180301.15

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    AMA Style

    Sanjay Dehran, Pragati Agrawal, Praveen Midha. Digital Applications in Metals and Mining Industry. Am J Oper Manag Inf Syst. 2018;3(1):33-37. doi: 10.11648/j.ajomis.20180301.15

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  • @article{10.11648/j.ajomis.20180301.15,
      author = {Sanjay Dehran and Pragati Agrawal and Praveen Midha},
      title = {Digital Applications in Metals and Mining Industry},
      journal = {American Journal of Operations Management and Information Systems},
      volume = {3},
      number = {1},
      pages = {33-37},
      doi = {10.11648/j.ajomis.20180301.15},
      url = {https://doi.org/10.11648/j.ajomis.20180301.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajomis.20180301.15},
      abstract = {The Industrial Internet of Things is opening opportunities for mining and metals companies to pursue visibility, safety, and efficiency like never before. There are many aspects of this industry that make it an ideal candidate for transformation. These include large physical environments, changing market and environmental conditions, and the massive size and amount of equipment. Additionally, the challenges of assessing asset conditions against maintenance schedules and logistical constraints must be met. The Industrial Internet of Things (IIoT) is at the heart of this transformation. It connects people, machines, items, and services to streamline the flow of information, enable real-time decisions, and open new opportunities in mining and metals. Leading companies are already investing billions in the Industrial Internet of Things and realizing returns that range from increased asset uptime and efficient predictive maintenance to autonomous fleets of vehicles able to move more goods. This paper will be talking about various digital applications available for the Metals and Mining industry. Companies can use advanced analytics to extract management-relevant information from the large amounts of unstructured data that they generate. This information can then be used to improve how mines are run and to make better-informed and speedier decisions across the full range of the mining business processes. The applications start from design & engineering followed by supply chain management, production & maintenance management, transport & logistics management. This paper will briefly discuss about variety of enterprise level real time performance solutions in various fields of the Metals and Mining industry.},
     year = {2018}
    }
    

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    AU  - Sanjay Dehran
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    JO  - American Journal of Operations Management and Information Systems
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    AB  - The Industrial Internet of Things is opening opportunities for mining and metals companies to pursue visibility, safety, and efficiency like never before. There are many aspects of this industry that make it an ideal candidate for transformation. These include large physical environments, changing market and environmental conditions, and the massive size and amount of equipment. Additionally, the challenges of assessing asset conditions against maintenance schedules and logistical constraints must be met. The Industrial Internet of Things (IIoT) is at the heart of this transformation. It connects people, machines, items, and services to streamline the flow of information, enable real-time decisions, and open new opportunities in mining and metals. Leading companies are already investing billions in the Industrial Internet of Things and realizing returns that range from increased asset uptime and efficient predictive maintenance to autonomous fleets of vehicles able to move more goods. This paper will be talking about various digital applications available for the Metals and Mining industry. Companies can use advanced analytics to extract management-relevant information from the large amounts of unstructured data that they generate. This information can then be used to improve how mines are run and to make better-informed and speedier decisions across the full range of the mining business processes. The applications start from design & engineering followed by supply chain management, production & maintenance management, transport & logistics management. This paper will briefly discuss about variety of enterprise level real time performance solutions in various fields of the Metals and Mining industry.
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Author Information
  • Fluor Daniel Corporation, Gurgaon, India

  • Fluor Daniel Corporation, Gurgaon, India

  • Fluor Daniel Corporation, Gurgaon, India

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