An Optimization of Shovel-Dumper Combination System in a Surface Mines Project
Authors
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Department of Mining Engineering, Aditya Engineering College, Surampalem, Andhra Pradesh ,IN
Abhishek Kumar Tripathi -
Department of Mining Engineering, Aditya Engineering College, Surampalem, Andhra Pradesh ,INJannela Yernaidu
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Department of Electronics and Telecommunication, Symbiosis Institute of Technology, Pune, Maharashtra ,INDurgesh Nandan
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Department of Mining Engineering, AKS University, Satna ,INSandeep Prasad
DOI:
https://doi.org/10.18311/jmmf/2022/32243Keywords:
Optimization, Shovel-Dumper, Queueing model, Surface minesAbstract
The optimization of the shovel-dumper combination is one of the major challenging issues during fleet mining equipment management. Optimization of shovel-dumper provides aid in increasing the potential capacity of the overall transportation system. The aim of the present study is to reduce idle time and improve the utilisation of shovel-dumper so that their potential capacity can be increased in a heterogeneous nature of the surface mine conditions. This is achieved in the present paper by applying the queuing theory concept in the operation of shovel-dumper. It is observed that the queuing approach (contains parameters namely waiting time, queue length, shovel utilization, shovel productivity, and other operational properties) helps in identifying the optimal dispatching decisions of the shovel-dumper combination which in turn improves the potential capacity of the respective types of equipment. The formulation of an appropriate queuing model has been undertaken in this study and it has been designed in such a manner so that the best possible combination of shovel-dumper can be achieved for a given surface mines project. Based on this study, it can be concluded that the queuing model can be used as a tool of performance evaluator and equipment selector so that the economic viability of a surface mines project can be improved.
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References
Trivedi, Rutwa & Rai, Piyush & Nath, Rajashree. (1999). Shovel-truck optimization study in an opencast mine – A queueing approach. Indian Journal of Eng. & Mat. Sci., CSIR Pub. 6. 153-157.
Kappas, George, and Tunce M. Yegulalp. “An application of closed queueing networks theory in truck-shovel systems.” International Journal of Surface Mining, Reclamation and Environment 5.1 (1991): 45-51.
Mohammadi, Mousa, Piyush Rai, and Suprakash Gupta. “Performance measurement of mining equipment.” International Journal of Emerging Technology and Advanced Engineering 5.7 (2015): 240-248.
Sone, Shailesh Kumar. Performance Evaluation of Surface Mining Equipment with Particular Reference to Shovel-Dumper Mining. Diss. 2016.
Czaplicki, Jacek M. Shovel-Truck Systems: Modelling, Analysis and Calculations. CRC Press, 2008.
Sharma, Ajay Kumar, and Girish Kumar Sharma. “Queueing Theory Approach with queueing model: a study.” International Journal of Engineering Science Invention 2.2 (2013): 1-11.
Terekhov, Daria, et al. “Integrating queueing theory and scheduling for dynamic scheduling problems.” Journal of Artificial Intelligence Research 50 (2014): 535-572.
Strang, Kenneth David. “Importance of verifying queue model assumptions before planning with simulation software.” European Journal of Operational Research 218.2 (2012): 493-504.
Dymasius, A., R. Wangsaputra, and B. P. Iskandar. “Analysis of maintenance service contracts for dump trucks used in mining industry with simulation approach.” IOP Conference Series: Materials Science and Engineering. Vol. 114. No. 1. IOP Publishing, 2016.
Strang, Kenneth D. “Transportation Queue Action Research at an Australian Titanium Dioxide Mining Refinery.” The Palgrave Handbook of Research Design in Business and Management. Palgrave Macmillan, New York, 2015. 393-410.
