Improving fleet management in mines: The benefit of heterogeneous match factor

Research output: Contribution to journalArticleScientificpeer-review


Research units

  • Aalto University


Mining requires large, expensive equipment: it is known that transportation costs from 50-60% of total operational costs. Mixed-fleet optimization is essential to support business sustainability. A new approach, based on differences in the match factor, is proposed: a heterogeneous truck fleet, a heterogeneous shovel fleet, and a fleet comprising both heterogeneous truck and shovel. Simulation study provides evidence that the match factor can be used to determine ranges for numbers of different types of trucks in an optimal fleet. Choice of heuristic truck dispatching methods has a significant influence on the performance. Additionally, the simulated results reveal differences in production with different heterogeneous fleet types.


Original languageEnglish
Pages (from-to)1052-1065
JournalEuropean Journal of Operational Research
Issue number3
Early online date4 Jul 2016
Publication statusPublished - Sep 2017
MoE publication typeA1 Journal article-refereed

    Research areas

  • Heterogeneous fleets, Heuristic truck dispatching methods, Match factor, Simulation

ID: 12137171