Published in: مجله معدن و محیط زیست، دوره: 11، شماره: 1
COI code: JR_JMAE-11-1_012
Paper Language: English
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Authors A Mathematical Model to Optimize Allocation Sequence in Dispatching ProblemM. Ghobadi Samani - Faculty of Engineering, Tarbiat Modares University, Iran.
M. Monjezi - Faculty of Engineering, Tarbiat Modares University, Iran.
J. Khademi Hamidi - Faculty of Engineering, Tarbiat Modares University, Iran.
A. Mousavinogholi - Faculty of Engineering, Tarbiat Modares University, Iran.
Abstract:Truck-Shovel fleet, as the most common transportation system in open-pit mines, has a significant part of mining costs, for which optimal management can lead to substantial cost reductions. Among the available dispatch mathematical models, the multi-stage approach is well suited for allocating trucks to respected shovels in a dynamic dispatching program. However, with this kind of modeling sequencing of the allocated trucks is not possible though it is important to find out the best solution so that getting the minimum accrued cost. To comply with the shortcoming of the traditional model, in this paper, a new hybrid model is developed and applied in Copper Mine of Iran, in which for each truck an allocation matrix is considered as input to the genetic algorithm implemented to determine the best solution. According to the obtained results, the optimal sequencing of the trucks can result in a significant (31%) cost reduction in a shift.
Keywords:Dispatch, Dynamic allocation, Simulation, Genetic Algorithm
COI code: JR_JMAE-11-1_012
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Ghobadi Samani, M.; M. Monjezi; J. Khademi Hamidi & A. Mousavinogholi, 2020, A Mathematical Model to Optimize Allocation Sequence in Dispatching Problem, Journal of Mining and Environment 11 (1), https://www.civilica.com/Paper-JR_JMAE-JR_JMAE-11-1_012.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Ghobadi Samani, M.; M. Monjezi; J. Khademi Hamidi & A. Mousavinogholi, 2020)
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Type: state university
Paper No.: 25732
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