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

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Improving fleet management in mines : The benefit of heterogeneous match factor. / Chaowasakoo, Patarawan; Seppälä, Heikki; Koivo, Heikki; Zhou, Quan.

In: European Journal of Operational Research, Vol. 261, No. 3, 09.2017, p. 1052-1065.

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@article{2eee2a862f8243418e1824051595e0a6,
title = "Improving fleet management in mines: The benefit of heterogeneous match factor",
abstract = "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.",
keywords = "Heterogeneous fleets, Heuristic truck dispatching methods, Match factor, Simulation",
author = "Patarawan Chaowasakoo and Heikki Sepp{\"a}l{\"a} and Heikki Koivo and Quan Zhou",
year = "2017",
month = "9",
doi = "10.1016/j.ejor.2017.02.039",
language = "English",
volume = "261",
pages = "1052--1065",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier Science B.V.",
number = "3",

}

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TY - JOUR

T1 - Improving fleet management in mines

T2 - The benefit of heterogeneous match factor

AU - Chaowasakoo, Patarawan

AU - Seppälä, Heikki

AU - Koivo, Heikki

AU - Zhou, Quan

PY - 2017/9

Y1 - 2017/9

N2 - 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.

AB - 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.

KW - Heterogeneous fleets

KW - Heuristic truck dispatching methods

KW - Match factor

KW - Simulation

UR - http://www.scopus.com/inward/record.url?scp=85017129749&partnerID=8YFLogxK

U2 - 10.1016/j.ejor.2017.02.039

DO - 10.1016/j.ejor.2017.02.039

M3 - Article

VL - 261

SP - 1052

EP - 1065

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 3

ER -

ID: 12137171