DOIONLINE 
DOIONLINE Publish In |
International Journal of Mechanical and Production Engineering (IJMPE)-IJMPE |
 Journal Home Volume Issue |
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Issue |
Volume-6,Issue-12 ( Dec, 2018 ) | |||||||||
Paper Title |
A Fuzzy Logic Approach towards Truck Dispatching Problem in Surface Mines | |||||||||
Author Name |
Ali Moradi Afrapoli, Shiv Upadhyay, Hooman Askari | |||||||||
Affilition |
Mining Optimization Laboratory (MOL), School of Mining Engineering, Department of Civil and Environmental Engineering, University of Alberta, Canada | |||||||||
Pages |
79-84 | |||||||||
Abstract |
This paper presents a mixed integer linear programming model to solve truck dispatching problem in surface mines. Although, all thus far developed models in the literature approach to the truck dispatching as a deterministic problem, we believe that most of the input parameters for truck dispatching are uncertain. To account for the parameters’ inherent uncertainties, we implemented a fuzzy approach to solve the developed mathematical model. The developed model is implemented on a surface mining case study and results are compared against a benchmark model implementation on the same case. The results show that the model developed in this paper requires smaller fleet of trucks to meet the production requirement of the mine in comparison to the benchmark model. Keywords- Surface mining, truck and shovel material handling systems, mining fleet management systems, truck dispatching problem, fuzzy logic approach. | |||||||||
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