KaydedilenlerDerginizi ekleyin

Dergiler / Scientific Mining Journal / 2026 / Cilt: 57 Sayı: 4

KAZI ARINI SINIRI OPTİMİZASYONU İÇİN GELİŞTİRİLEN YÖNTEMLER VE ÖRNEK BİR UYGULAMA

Gamze Erdogan Erten0000-0001-9481-4256
Mahmut Yavuz
Sayfa
247–258
Yayın Tarihi
2018-12-01
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Kazı arını sınırı optimizasyonu, yeraltı maden planlama ve tasarım sürecindeki optimizasyon

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Kazı arını sınırı optimizasyonu, yeraltı maden planlama ve tasarım sürecindeki optimizasyon
📊
Temel Bulgular & Veri:Kazı arını sınırı optimizasyonu, yeraltı maden planlama ve tasarım sürecindeki optimizasyon
💡
Sonuç & Katkı:Kazı arını sınırı optimizasyonu, yeraltı maden planlama ve tasarım sürecindeki optimizasyon
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Yeraltı madenciliği · Optimizasyon · Algoritmalar

Özet

Kazı arını sınırı optimizasyonu, yeraltı maden planlama ve tasarım sürecindeki optimizasyon

🔖

Bu Makaleye Atıf Yap

Erten, G. E., Yavuz, M. (2018). KAZI ARINI SINIRI OPTİMİZASYONU İÇİN GELİŞTİRİLEN YÖNTEMLER VE ÖRNEK BİR UYGULAMA. Scientific Mining Journal, Cilt: 57 Sayı: 4, 247–258. https://doi.org/10.30797/madencilik.480083

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (35)

  1. Alford, C., 1995. Optimisation in Underground Mine Design, 25th Application of Computers and Operations Research in The Mineral Industry, The Australian Institute of Mining and Metallurgy, pp. 213-218.
  2. Ataee-Pour, M., 2000. A Heuristic Algorithm to Optimise Stope Boundaries, PhD thesis, University of Wollongong, Australia, pp. (2) 24-60, (3) 18-36.
  3. Ataee-Pour, M., 2005. A Critical Survey of the Existing Stope Layout Optimization Techniques, Journal of Mining Science, 41(5):447-466.
  4. Bai, X., Marcotte, D., Simon, R., 2013. Underground Stope Optimization with Network Flow Method, Computer and Geoscience, (52), pp. 361–371.
  5. Brazil, M., Thomas, D.A., Weng, J.F., 1998. Gradient- Constrained Minimal Steiner Trees, DIMACS: Series in Discrete Mathematics and Theoretical Computer Science, 40: 23–38.
  6. Brazil, M., Rubinstein, J. H., Thomas, D. A., Weng J. F., Wormald, N. C., 2001. Gradient-Constrained Minimum Networks. I. Fundamentals, Journal of Global Optimization, 21 (2):139-155.
  7. Brazil, M., Lee D.H., Rubinstein, J. H., Thomas, D.A., Weng, J.F.,, 2002. Optimisation in the Design of Underground Mine Access, The Transactions of the South African Institute of Electrical Engineers, 93(2): 97-103.
  8. Brazil, M., Thomas, D.A., Weng, J.F., Lee, D.H., Rubinstein, J.H., 2005. Cost Optimization for Underground Mining Networks, Optimization and Engineering, 6(2): 241–256.
  9. Brazil, M., Thomas, D.A., 2007. Network Optimisation for the Design of Underground Mines, Networks,49: 40–50.
  10. Carlyle, M., Eaves, 2001. Underground Planning at Stillwater Mining Company, Interfaces, 31(4): 50-60.
  11. Cawrse, I, 2001. Multiple Pass Floating Stope Process, 4th Biennial Strategic Mine Planning Conference, The Australasian Institute of Mining and Metallurgy, Melbourne, pp. 87-94.
  12. Cawrse, I., 2007. Multiple Pass Floating Stope Process, Strategic Mine Planning Conference, Perth, Australia, pp. 87–94.
  13. Cheimanoff, N. M., Deliac, E. P., Mallet, J. L., 1989. GEOCAD: An Alternative CAD and Artificial Intelligence Tool that Helps Moving From Geological Resources to Mineable Reserves, 21st Application of Computers and Operations Research in the Mineral Industry: 21st International APCOM Symposium, pp. 471-478.
  14. Deraisme, J., De Fouquet, C., Fraisse, H, 1984. Geostatistical Orebody Model for Computer Optimization of Profits from Different Underground Mining Methods, 18th APCOM Symposium London, England, pp. 583-590.
  15. Erdoğan, G., 2017. Yeraltı Ocaklarında Bilgisayar Destekli Maden Tasarımı ve Kazı Arınlarının Optimizasyonu, Yüksek Lisans Tezi, Eskişehir Osmangazi Üniversitesi.
  16. Erdogan, G., Cigla, M., Topal, E., Yavuz, M., 2017. Implementation and Comparison of Four Stope Boundary Optimisation Algorithms in an Existing Underground Mine, International Journal of Mining, Reclamation and Environment 31 (6), 389-403
  17. Kuchta M., Newman, A., Topal, E, 2004. Implementing a Production Schedule at LKAB’s Kiruna Mine, Interfaces, 34(2): 124-134.
  18. Lee, D. H., 1989. Industrial Case Studies of Steiner Trees, NATO Advanced Research Workshop on Topological Network Design, Denmark.
  19. Little J., 2007. A New Approach to Using Mixed-Integer Programming for Scheduling Optimisation in Sublevel Stope Mining, Bachelor thesis, University of Queensland, Brisbane.
  20. Little J., Knights P., Topal E., 2013. Integrated Optimization of Underground Mine Design and Scheduling, Journal of the South African Institute of Mining and Metallurgy, 113, pp. 775–785.
  21. Nehring, M., Topal E., 2006. Production Schedule Optimisation in Underground Hard Rock Mining Using Mixed Integer Programming, Australasian Institute of Mining and Metallurgy, Project Evaluation, Melbourne, Australia, pp. 169-175
  22. Nehring, M., Topal, E., Kizil, M., Knights, P., 2012. Integrated Short- and Medium-Term Underground Mine Production Scheduling, The Journal Of The Southern African Institute Of Mining And Metallurgy, 112, pp 365-378.
  23. O’Sullivan D., Newman A., 2014. Optimization- based Heuristics for Underground Mine Scheduling, European Journal of Operational Research, 241, pp. 248–259.
  24. Ovanic, J., Young, D. S., 1995. Economic Optimisation of Stope Geometry using Separable Programming with Special Branch and Bound Techniques, Third Canadian Conference on Computer Applications in the Mineral Industry, McGill University, Montreal,pp. 129-35.
  25. Riddle, JM., 1977. A Dynamic Programming Solution of a Block Caving Mine Layout, Proceedings The 14th APCOM Symposium, Society of Mining Engineers-American Institute of Mining, Metallurgy, and Petroleum Engineers, New York,pp. 767- 780.
  26. Sandanayake, D., 2014. Stope Boundary Optimisation in Underground Mining Based on a Heuristic Approach, PhD Thesis, Curtin University. Sandanayake D, Topal E, Asad M., 2015a. Designing an Optimal Stope Layout for Underground Mining Based on a Heuristic Algorithm, International Journal of Mining Science and Technology 25, pp. 767–772.
  27. Sandanayake D, Topal E, Asad M., 2015b. A Heuristic Approach to Optimal Design of an Underground Mine Stope Layout, Applied Soft Computing, 30, pp. 595–603.
  28. Serra, J., 1982. Image Analysis and Mathematical Morphology, Academic Press, New York. Sens, J., Topal, E., 2009. A New Algorithm for Stope Boundary Optimisation, Ausimm New Leaders Conference, 2009(4), pp. 25-28.
  29. Topal E., 2003. Advanced Underground Mine Scheduling Using Mixed Integer Programming, PhD thesis, Colorado School of Mines. Topal, E., Sens, J., 2010. A New Algorithm for Stope Boundary Optimization, Journal of Coal Science & Engineering, 16 (2), pp. 113-119.
  30. Trout L.P., 1995, Underground Mine Production Scheduling Using Mixed Integer Programming, Proceedings in the 25th International APCOM Symposium, The Australasian Institute of Mining and Metallurgy, Melbourne, pp. 395-400.
  31. Wang, H., Webber, T., 2012. An Innovation of Practical Underground Stope Design Optimization and Cut-off Grade Calculation, SME Annual Meeting, WA.
  32. Winkler, B., 1996. Using MILP to Optimize Period Fix Costs in Complex Mine Sequencing and Scheduling Problems, APCOM Symposium, Pennsylvania State University, pp. 441–446.
  33. Brazil, M., Lee D.H., Rubinstein, J. H., Thomas, D.A., Weng, J.F.,, 2002. Optimisation in the Design of Underground Mine Access, The Transactions of the South African Institute of Electrical Engineers, 93(2): 97-103.
  34. Brazil, M., Thomas, D.A., 2007. Network Optimisation for the Design of Underground Mines, Networks,49: 40–50.
  35. Cheimanoff, N. M., Deliac, E. P., Mallet, J. L., 1989. GEOCAD: An Alternative CAD and Artificial Intelligence Tool that Helps Moving From Geological Resources to Mineable Reserves, 21st Application of Computers and Operations Research in the Mineral Industry: 21st International APCOM Symposium, pp. 471-478.