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Improving the organization of the shovel-truck systems in open-pit coal mines

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of the study is to reduce idle times of mining trucks and shovels in an open-pit coal mine. A heuristic algorithm for making dispatching decisions in conditions of dynamic allocation of trucks is developed. Priority parameters for choosing the shovel after the end-of-truck unloading are introduced. Also, an algorithm for searching for the optimal priority parameters to satisfy the required efficiency criterion is developed. This algorithm is based on a simulation model of a shovel-truck system. The proposed approach is applicable in terms of the group of shovels with a common dump point in various open-pit coal mines. The importance of this work lies in the fact that the proposed model takes into account the random factors related with the duration of loading and dumping, truck movement, repair of shovels and haul trucks, as well as the duration of periods between repairs.
Czasopismo
Rocznik
Strony
113--122
Opis fizyczny
Bibliogr. 21 poz.
Twórcy
autor
  • Kemerovo State Agriculture Institute 5, Markovtseva, Kemerovo, 650056, Russia
autor
  • Gorbatchev Kuzbass State Technical University 28, Vesennya, Kemerovo, 650099, Russia
Bibliografia
  • 1. Трубецкой, К.Н. & Кулешов, А.А. & Клебанов, А.Ф. & Владимиров, Д.Я. Современные системы управления горно-транспортными комплексами. Санкт-Петербург: Наука. 2007. 306 с. [In Russian: Trubetskoy, K.N. & Kuleshov, A.A. & Klebanov, A.F. & Vladimirov, D.Y. Modern control systems of mining and transport complex. St. Petersburg: Nauka].
  • 2. Таразанов, И. Итоги работы угольной промышленности России за 2013 год. Уголь. 2014. No. 3. С. 53-66. [In Russian: Tarazanov, I.: The results of the work of the coal industry of Russia in 2013. Coal].
  • 3. Годовой отчет ОАО «УК «Кузбассразрезуголь» за 2013 год. Кузбассразрезуголь. 2014. 64 c. Available at: http://www.e-disclosure.ru/portal/files.aspx?id=10488&type=2 [In Russian: Kuzbassrazrezugol, annual report 2013].
  • 4. Alarie, S. & Gamache, M. Overview of solution strategies used in truck dispatching systems for open pit mines. International Journal of Surface Mining, Reclamation and Environment. 2002. Vol. 16. No. 1. P. 59–76.
  • 5. Cetin, N. Open-pit truck/shovel haulage system simulation. PhD thesis. Ankara: Middle East Technical University. 2004. 133 p.
  • 6. Munirathinam, M. & Yingling, J.C. A review of computer-based truck dispatching strategies for surface mining operations. International Journal of Surface Mining, Reclamation and Environment. 1994. Vol. 8. No. 1. P. 1–15.
  • 7. Subtil, R.F. & Silva, D.M. & Alves, J.C. A practical approach to truck dispatch for open pit mines. In: 35th Application of Computers and Operations Research in the Minerals Industry Symposium (APCOM 2011), Melbourne, 2011. P. 765–777.
  • 8. Chaowasakoo, P. et al. Digitalization of mine operations: Scenarios to benefit in real-time truck dispatching. International Journal of Mining Science and Technology. 2017.
  • 9. Bastos, G.S. Methods for truck dispatching in open-pit mining. DSc thesis. São José dos Campos: Campo Montenegro. 2010. 140 p.
  • 10. Lijun Zhang & Xiaohua Xia: An integer programming approach for truck-shovel dispatching problem in open-pit mines. Energy Procedia. 2015. Vol. 75. P. 1779–1784.
  • 11. Бахтурин, Ю.А. Моделирование работы сложных транспортных систем карьеров. Горный информационно-аналитический бюллетень. 2011. No. 1. С. 82-90. [In Russian: Bakhturin, Y.A. Simulation of complex transport systems in open-pit mines. Mining Informational and Analytical Bulletin].
  • 12. Law, A.M. & Kelton, W.D. Simulation modeling and analysis. New York: McGraw-Hill. 1991. 759 p.
  • 13. Корягин, М.Е. Исследование и оптимизация математических моделей процессов циклической перевозки в логистических системах. Томск: Томский государственный университет, 2003. 170 с. [in Russian: Koryagin M.E. Research and optimization of mathematical models of processes of cyclic transportation in logistics systems., Tomsk: TSU].
  • 14. Baafi, E.Y. & Ataeepour, N. Using ARENA to simulate truck-shovel operation. Mineral Resources Engineering. 1998. Vol. 7. No. 3. P. 253-266.
  • 15. Ataeepour, N. & Baafi, E.Y. ARENA simulation model for truck-shovel operation in despatching and non-despatching modes. International Journal of Surface Mining, Reclamation and Environment. 1999. Vol. 13. No. 3. P. 125–129.
  • 16. Krause, A.J. Shovel-truck cycle simulation methods in surface mining. MSc thesis. Johannesburg: University of the Witwatersrand. 2006. 133 p.
  • 17. Stout, C.E. Simulation of a large multi-pit mining operation. MSc thesis. Missoula: The University of Montana. 2011. 246 p.
  • 18. Jaoua, A. & et al. A framework for realistic microscopic modelling of surface mining transportation systems. International Journal of Mining, Reclamation and Environment. 2009. Vol. 23. No. 1. P. 51–75.
  • 19. Jaoua, A. & et al. A simulation framework for real-time fleet management in internal transport systems. Simulation Modelling Practice and Theory. 2012. Vol. 21. P. 78–90.
  • 20. Jaoua, A. & et al. Specification of an intelligent simulation-based real time control architecture: Application to truck control system. Computers in Industry. 2012. Vol. 63. P. 882–894.
  • 21. Вуейкова, О.Н. Обоснование рациональной структуры автомобильно-экскаваторного комплекса открытого горнорудного карьера. PhD thesis. Оренбург: Южно-Уральский государственный университет. 2013. 120 с. [in Russian: Vueykova, O.N. Justification of a rational structure of a truck-shovel system in open-pit ore mine. PhD thesis, South Ural State University].
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2e8685fd-3fc7-4b97-8c34-f89c4234569d
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