Analysis of Production Operations in Abadeh Fireclay Mine by Simulating the Haulage System

Document Type : Research - Paper

Authors

1 Ph.D Student, Dept. of Mining Engineering, Tarbiat Modares University, Tehran, Iran

2 Assistant Professor, Dept. of Mining Engineering, Tarbiat Modares University, Tehran, Iran

3 Associate Professor, Dept. of Mining Engineering, Amirkabir University of Technology, Tehran, Iran

Abstract

The main production operations in most mines are drilling, blasting, loading, and hauling. Therefore, the optimization of each part causes an increase in profits and a decrease in mining costs. About 50 to 60 percent of mining costs are related to machinery, and the major share of them belong to loading and hauling machine. So, the correct utilization of the haulage fleet is very important step to increase productivity and to reduce production costs of the systems. In this study, by using simulation method and utilization of Arena software, the operation of the current production system of Abadeh Fireclay mine have been studied. Results showed that the productivity of loading machines in mine is low and due to the shortage of trucks the unit production costs of haulage system be increased.  By using the high-capacity machines in mining operations, mine production will be increased and also production costs will be reduced significantly. Moreover, when flexible dispatching approach is used with proportionate loading and hauling machines, production will incr ease by 4 to 8 percent with a given number of trucks and also production costs will decrease by 5 to 7 percent.

Keywords

Main Subjects

References

[1]   علمداری، ص.؛ 1392؛"بهینه‌سازی عملکرد سیستم تولید معدن خاک نسوز آباده بر اساس شبیه‌سازی". پایان‌نامه کارشناسی ارشد، دانشگاه تربیت مدرس، تهران.
[2]     Banks, J. (2009). “Discrete Event System Simulation”. 4th Edition, Pearson Education India.
[3]     Sturgul, J. (1999). “Discrete mine system simulation in the United States”. International Journal of Surface Mining, Reclamation and Environment, 13(2): 37-41.
[4]     Qing-xia, Y. (1982). “Computer simulation of drill-rig/shovel operations in open-pit mines”. In Proceedings of the 14th Conference on Winter Simulation, V. 2, San Diego, USA, 468-471.
[5]     Ataeepour, M., and Baafi, E. (1999). “Arena simulation model for truck-shovel operation in despatching and non-despatching modes”. International Journal of Surface Mining, Reclamation and Environment, 13(3): 125-129.
[6]     Kolonja, B., Vasiljevic, N., and Stanic, R. (2000). “Computer simulation of the open pit transportation systems”. Mine Planning and Equipment Selection, AA Balkema, Rotterdam, 613-618.
[7]     Greberg, J., and Sundqvist F. (2011). “Simulation as a tool for mine planning”. In Proceedings of Second International Future Mining, Melbourne, Australia, 273-278.
[8]     Askari-Nasab, H., Torkamani, E., Badiozamani, M. M., and Tabesh, M. (2012). “Alignment of short-term and operational plans using discrete event simulation”. In SME Annual Meeting, 19-22.
[9]     Salama, A., Greberg, J., and Schunnesson, H. (2014). “The use of discrete event simulation for underground haulage mining equipment selection”. International Journal of Mining and Mineral Engineering, 5(3): 256-271.
[10]  Dindarloo, S. R., Osanloo, M., and Frimpong, S. (2015). “A stochastic simulation framework for truck and shovel selection and sizing in open pit mines”. Journal of the Southern African Institute of Mining and Metallurgy, 115(3): 209-219.
[11]  Dumakor, N., Temeng, V., and Bansah, K. (2017). “Optimising Shovel-Truck Fuel Consumption using Stochastic Simulation”. Ghana Mining Journal, 17( 2): 39-49.
[12]  Baafi, E. Y., and Zeng, W. (2019). “A Discrete-Event Simulation for a Truck-Shovel System”. In Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection-MPES 2018, Springer, Cham, 265-276.
[13]   شرکت مهندسین مشاور کان‌کاو؛ 1391؛ "تخمین و ارزیابی ذخیره معدن خاک نسوز استقلال آباده".
[14]  Naylor, T. H., and Finger, J. M. (1967). “Verification of computer simulation models”. Management Science, 14(2): B-92-101.
[15]  Caterpillar Inc., (2013). “Caterpillar performance handbook”. 43 ed.
[16]           KOMATSU Inc., (2012). “Komatsu Specifications & Application Handbook”.
[17]   پایگاه داده‌های علوم زمین کشور؛ 1384؛"بانک اطلاعات اقتصادی استخراج روباز".
[18]  Western Mining Engineering Institute, (2007). Mine and Mill Equipment Costs: An Estimator’s Guide, Aventurine. USA.
 
Journal of Mineral Resources Engineering
Volume 4, Issue 3 - Serial Number 13
December 2019
Pages 37-50

Files

History

  • Receive Date: 04 February 2019
  • Revise Date: 23 October 2019
  • Accept Date: 23 October 2019

Share

How to cite

Statistics