Intelligent Fleet Management Systems in Surface Mining: Status, Threats, and Opportunities

Arman Hazrathosseini, Ali Moradi Afrapoli

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

Fleet management systems (FMSs) as the pivotal part of any surface mining operation find it essential to evolve from conventional into intelligent systems because of both Mining 4.0 requirements and some shortcomings inherent in conventional methods. However, this novel transformation needs to be investigated technically and strategically. To this end, the previously published research works on intelligent FMSs are explored to track the latest status of these third generation frameworks within the surface mining context. Following that, their underlying models are compared in terms of five categories of allocation and dispatching features to pinpoint the technical gaps ignored. Having drawn the future lines of research, the present article then leverages the popular SWOT analysis method to outline the strengths, weaknesses, opportunities, and threats associated with the advent of these intelligent FMSs in mines of future. By and large, the analysis indicates that advantages outweigh disadvantages. Solutions are offered to address the existing weaknesses and threats.

Original languageEnglish
Pages (from-to)2087-2106
Number of pages20
JournalMining, Metallurgy and Exploration
Volume40
Issue number6
DOIs
StatePublished - Dec 2023

Bibliographical note

Publisher Copyright:
© 2023, Society for Mining, Metallurgy & Exploration Inc.

Keywords

  • Fleet management system
  • Mining 4.0
  • Open pit mining
  • SWOT analysis
  • Technical feature

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Chemistry
  • Geotechnical Engineering and Engineering Geology
  • Mechanical Engineering
  • Metals and Alloys
  • Materials Chemistry

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