Optimisation of a mixed truck fleet schedule through a mathematical model considering a new truck-purchase option

Fu, Zhao; Topal, Erkan; Erten, Oktay

doi:10.1179/1743286314y.0000000055

Cited by 17 publications

(7 citation statements)

References 10 publications

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“…Their model aims to minimize the operating cost of trucks and shovels while restricted by some constraints. Fu et al (2014) develop a mixed-integer programming model to minimize the maintenance cost of using mining equipment considering a new truck purchase option to optimize the truck fleet schedule in surface mines.…”

Section: Equipment Selection and Sizing Problem In Open-pit Miningmentioning

confidence: 99%

Truck fleet size selection in open-pit mines based on the match factor using a MINLP model

et al. 2021

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The present study aims to propose new strategies based on mixed-integer non-linear programming (MINLP) models for the equipment sizing (ES) problem to verify the overall efficiency of the fleet. The developed models estimate the optimal size of trucks concerning the match factor value with two different strategies. The first strategy deals with each loader type, and the second one is applied simultaneously with all types of loaders. The proposed approaches are compared to a simulation strategy to assess the models. Implementing models with a copper mine case study provides a more efficient haul fleet size than the decisions offered by the simulation method. Moreover, the presented strategies provide an effective way to improve equipment performance where the current mine strategy does not adapt well. A key contribution of this research is the development, implementation, and verification of new optimization and simulation methods to address the ES problem in open-pit mines.

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Section: Equipment Selection and Sizing Problem In Open-pit Miningmentioning

confidence: 99%

Truck fleet size selection in open-pit mines based on the match factor using a MINLP model

et al. 2021

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“…These values are therefore used in the driver cost model and equate to AU$ 104.74 per productive hour. Fu et al (2014) provide an averaged value for maintenance of a 313 t payload truck at an hourly rate of AU$ 87.70. Information available to the authors for a small number of DEMHT's that are somewhat smaller than the 313 t truck used in the simulation model, suggests that, major overhauls undertaken at 18,000 service hours cost of AU$ 1.2 M per truck.…”

Section: Operator Cost Per Hourmentioning

confidence: 99%

Potential of on-board energy recovery systems to reduce the costs of diesel–electric mine truck haulage

2018

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On-board energy recovery systems (ERSs) are expected to reduce fuel consumption of open-pit mine haul trucks. However, the additional mass of an ERS would reduce the truck's payload, hence reducing productivity, effectively increasing other haul-related costs. Using a simulation program incorporating appropriate models for a diesel-electric mine haul truck, capital costs, operating costs and four energy recovery technologies, this paper investigates how various ERS technologies would affect overall haulage cost. Two energy re-use strategies are considered. The power augmentation strategy, which aims to reduce cycle times, promises greater savings than the fuel replacement strategy, which reduces engine power using recovered power. The ERS technologies found to be best suited to the application are fast charging LiFePO 4 batteries, and electro-mechanical flywheels. Using the power augmentation strategy, the potential cost reduction for both technologies under ideal conditions is 7%. Restrictions on exploiting the full potential of ERS systems are highlighted and discussed.

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“…Although the main raw material of this type of mining operation is diesel oil, their view is confirmed by Table 1, which shows that dozers provide greater energy efficiency for overburden removal operations. Fu et al (2014) claim that despite the flexibility provided by the use of haul trucks in overburden removal, this involves high operating costs. In addition to the high fuel consumption, this option also implies costs associated with haul roads.…”

Section: Overburden Removal Options Assessmentmentioning

confidence: 99%

Simulation of the impact of mine face geometry on the energy efficiency of short-distance haulage mining operations

Rodovalho

Tomi

2016

Mining Technology

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In most surface mining, overburden removal operations require haulage over short distances. This is a key operation for companies using the strip mining method, because of the large amounts of waste to be removed. Other methods and operations also adopt this type of transport, using dozers, excavators, front-end loaders and haul trucks. A comparison of different haulage options for short distances with respect to energy efficiency in open-pit mining is needed, but only a limited number of recent studies have considered energy efficiency as a key variable in mining projects. This study therefore seeks to develop a mine design that is able to achieve greater energy efficiency without affecting the performance of mining operations. For this purpose, simulation tools and comparative analysis among several equipment options are used. After implementation, a 14% reduction in specific fuel consumption and a 16% increase in productivity are found.

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Optimisation of a mixed truck fleet schedule through a mathematical model considering a new truck-purchase option

Cited by 17 publications

References 10 publications

Truck fleet size selection in open-pit mines based on the match factor using a MINLP model

Truck fleet size selection in open-pit mines based on the match factor using a MINLP model

Potential of on-board energy recovery systems to reduce the costs of diesel–electric mine truck haulage

Simulation of the impact of mine face geometry on the energy efficiency of short-distance haulage mining operations

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