Maximizing Mining Operations: Unlocking the Crucial Role of Intelligent Fleet Management Systems in Surface Mining’s Value Chain

Arman Hazrathosseini, Ali Moradi Afrapoli

Research output: Contribution to journalReview articlepeer-review

Abstract

On the one side, the operational expenses of mining enterprises are showing an upward trend; and on the other side, conventional mining fleet management systems (FMSs) are falling short in addressing the high-dimensionality, stochasticity, and autonomy needed in increasingly complex operations. These major drivers for change have convinced researchers to search for alternatives including artificial-intelligence-enabled algorithms recommended by Mining 4.0. The present study endeavors to scrutinize this transition from a business management point of view. In other words, a literature review is carried out to gain insight into the evolutionary trajectory of mining FMSs and the need for intelligent algorithms. Afterward, a holistic supply chain layout and then a detailed value chain diagram are depicted to meticulously inspect the effect of technological advancements on FMSs and subsequently the profit margin. The proposed value-chain diagram is advantageous in explaining the economic justification of such intelligent systems, illustratively, for shareholders in the industry. Moreover, it will show new research directions for mining scholars.

Original languageEnglish
Pages (from-to)7-20
Number of pages14
JournalMining
Volume4
Issue number1
DOIs
StatePublished - Mar 2024

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

Keywords

  • fleet management system
  • Mining 4.0
  • profit margin
  • surface mining
  • value chain analysis

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Geology
  • Engineering (miscellaneous)
  • Environmental Science (miscellaneous)

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