Abstract
The main objective of today’s mine planning is intended to maximize net present value of a project. Income to be earned on a realistic plan close to ideal is evaluated at using Net present value (NPV) technique which is a popular investment appraisal method. This is why it is very important to determine the operating parameters that maximize the NPV. Especially optimum production capacity, depth and dimensions of ore body also determine the economics of mine. Solution of existing mining problems are based on the ideal mine planning and to increase NPV. Mine Cost Optimisation (MCO) software is designed to be aimed at these solutions. In this study, a model is proposed for more precise determination of the open pit final depth and mine life as an important parameter in the evaluation of mining feasibilities by using MCO software and maximization of NPV is aimed. It is thought that this study will bring a different approach to mining investments with a new solution strategy.
References
- Askari Nasab, H., Frimpong, S., Szymanski J., 2008. Investigating Continuous Time Open Pit Dynamics. Journal of The Southern African Institute of Mining and Metallurgy, SAIMM, 108, 61-71.
- Baffoe, S.B., Al-Hassan, S., 2005. Open Pit Mine Planning and Design – A Case Study. Application of Computers and Operations Research in the Mineral Industry. Taylor & Francis Group, London, 287-290.
- Bakhtavar, E., Shahriar, K., Oraee, K., 2009. Mining Method Selection and Optimization of Transition from Open Pit to Underground in Combined Mining. Archieves of Mining Sciences, 54 (3), 481-493.
- Chen, J., Guo, D., Li, J., 2003. Optimization principle of combined surface and underground mining and its applications. Journal of Central South University of Technology, Volume 10, No 3, 222-225.
- Dağdelen, K., 2001. Open Pit Optimization Strategies for Improving Economics of Mining Projects through Mine Planning. 17th International Mining Congress and Exhibition of Turkey,117-121.
- Dohm, G. C. Jr., 1979. Circular Analysis-Open Pit Optimization. Open Pit Mine Planning and Design. (Ed. Hustrulid, W., Kuchta, M.) Balkema Rotterdam, 1995, 625.
- Erdem, Ö., Güyagüler T., Demirel N., 2012. Uncertainty Assessment for the Evaluation of Net Present Value: A Mining Industry Perspective. Journal of The Southern African Institute of Mining and Metallurgy, SAIMM,112, 405-412.
- Flores, G., 2004. Geotechnical Challenges of the Transition from Open Pit to Underground Mining at Chuquicamata Mine. Proceedings of Mass Min Conference, Chile, 591-602.
- Hartman, H.L., Mutmansky, J.M., 2002. Underground mining method; Introductory Mining Engineering. John Wiley, New Jersey. Hustrulid, W., Kuchta.M.,1995. Open Pit Mine Planning and Design, Fundamentals. Balkema, Rotterdam, 310-311.
- Koenigsberg, E., 1982. The optimum contours of an open pit mine: An application of dynamic programming. Proceeding of 17th International APCOM Symposium, 201-136.
- Mallı, T., 2013. Yatırım Teorileri Kullanılarak Yeraltı ve Yerüstü Maden İşletme Sınırının Belirlenmesi. Doktora tezi, Dokuz Eylül Üniversitesi Fen Bilimleri Enstitüsü, İzmir.
- Morley, C., Snowden, V., Day, D., 1999. Financial Impact of Resource/Reserve Uncertainty. Journal of the South African Institute of Mining and Metallurgy, 99, 293-301.
- Mukherjee, K., 1991. Optimal production planning of opencast mines: A case from Indian Mining industry. International Journal of Surface Mining and Reclamation 5, 39-43.
- Nilsson, D. S., 1997. Optimal final pit depth: Once again. International Journal of Mining Engineering, 71-72.
- Onur, A. H., Dowd, P.A., 1992. Optimal Scheduling in Open Pit Mining. Leeds University Mining Association Journal, England, 71-80.
- Runge, I.C., 1998. Mining Economic and Strategy. Society for Mining, Metallurgy and Exploration, SME, Littleton, USA, 24-171.
- Sevim, H., Lei, D.D.,1994. The state of term production planning in open pit mining. Mine Planning and Equipment Selection, 69-75.
- Snowden, D.V., Glacken, I., Noppe, M., 2002. Dealing with Demands of Technical Variability and Uncertainty Along the Mine Value Chain. Value Tracking Symposium, Queensland, Australia.
- Tercan, A. E., Akcan, E., 2004. Assessment of uncertainty associated with grade–tonnage curves using geostatistical simulation. Mining Technology, Vol. 113:2, 129-136.
- Tercan, A. E., Akcan, E., 2005. Linyit Kalitesi-Rezerv Eğrilerindeki Belirsizliğin Jeoistatistiksel Benzetimle Değerlendirilmesi: Örnek Bir Çalışma. Madencilik, Cilt 44, Sayı 2, 3-16.
- Whittle, J., 1988. Beyond optimization in open pit design. Computer Applications in the Mineral Industry, Balkema, Rotterdam, 331-337.
MADEN MALİYET YAZILIMI KULLANILARAK AÇIK İŞLETME PLANLAMASINDA NİHAİ İŞLETME DERİNLİĞİ OPTİMİZASYONU
Abstract
Günümüzde maden işletme planlamasında temel hedef, Net bugünkü değerin yükseltilmesine yöneliktir. İdeale yakın gerçekçi bir planlamaya göre elde edilecek gelir, popüler yatırım değerlendirme yöntemi olan Net bugünkü değer (NBD) tekniği kullanılarak değerlendirilmektedir. NBD’i maksimum yapan işletme parametrelerinin belirlenmesi bu nedenle oldukça önemlidir. Özellikle optimum işletme kapasitesi, derinlik ve boyutsal sınırlar işletmenin ekonomikliğini de belirlemektedir. Mevcut madencilik sorunlarının çözümü, ideal işletme planlaması ile NBD yükseltilmesine dayandığından Maden Maliyet Optimizasyonu yazılımı (MCO), bu amaca yönelik tasarlanmıştır. Bu çalışmada, yazılım kullanılarak madencilik fizibilitelerinin değerlendirilmesinde önemli parametre olarak öngörülen optimum açık işletme nihai derinliği ve işletme ömrünün daha kesin olarak belirlenmesine yönelik bir model önerilmektedir. İşletilebilir rezerv cevher ton başına elde edilmesi öngörülen NBD maksimizasyonu temel amaçtır. Bu yönüyle çalışmanın madencilik yatırımlarına yeni çözümleme stratejisiyle farklı bir yaklaşım getireceği düşünülmektedir.
Keywords
Maden planlaması Açık işletme Nihai işletme derinliği Net bugünkü değer Maliyet optimizasyon yazılımı
References
- Askari Nasab, H., Frimpong, S., Szymanski J., 2008. Investigating Continuous Time Open Pit Dynamics. Journal of The Southern African Institute of Mining and Metallurgy, SAIMM, 108, 61-71.
- Baffoe, S.B., Al-Hassan, S., 2005. Open Pit Mine Planning and Design – A Case Study. Application of Computers and Operations Research in the Mineral Industry. Taylor & Francis Group, London, 287-290.
- Bakhtavar, E., Shahriar, K., Oraee, K., 2009. Mining Method Selection and Optimization of Transition from Open Pit to Underground in Combined Mining. Archieves of Mining Sciences, 54 (3), 481-493.
- Chen, J., Guo, D., Li, J., 2003. Optimization principle of combined surface and underground mining and its applications. Journal of Central South University of Technology, Volume 10, No 3, 222-225.
- Dağdelen, K., 2001. Open Pit Optimization Strategies for Improving Economics of Mining Projects through Mine Planning. 17th International Mining Congress and Exhibition of Turkey,117-121.
- Dohm, G. C. Jr., 1979. Circular Analysis-Open Pit Optimization. Open Pit Mine Planning and Design. (Ed. Hustrulid, W., Kuchta, M.) Balkema Rotterdam, 1995, 625.
- Erdem, Ö., Güyagüler T., Demirel N., 2012. Uncertainty Assessment for the Evaluation of Net Present Value: A Mining Industry Perspective. Journal of The Southern African Institute of Mining and Metallurgy, SAIMM,112, 405-412.
- Flores, G., 2004. Geotechnical Challenges of the Transition from Open Pit to Underground Mining at Chuquicamata Mine. Proceedings of Mass Min Conference, Chile, 591-602.
- Hartman, H.L., Mutmansky, J.M., 2002. Underground mining method; Introductory Mining Engineering. John Wiley, New Jersey. Hustrulid, W., Kuchta.M.,1995. Open Pit Mine Planning and Design, Fundamentals. Balkema, Rotterdam, 310-311.
- Koenigsberg, E., 1982. The optimum contours of an open pit mine: An application of dynamic programming. Proceeding of 17th International APCOM Symposium, 201-136.
- Mallı, T., 2013. Yatırım Teorileri Kullanılarak Yeraltı ve Yerüstü Maden İşletme Sınırının Belirlenmesi. Doktora tezi, Dokuz Eylül Üniversitesi Fen Bilimleri Enstitüsü, İzmir.
- Morley, C., Snowden, V., Day, D., 1999. Financial Impact of Resource/Reserve Uncertainty. Journal of the South African Institute of Mining and Metallurgy, 99, 293-301.
- Mukherjee, K., 1991. Optimal production planning of opencast mines: A case from Indian Mining industry. International Journal of Surface Mining and Reclamation 5, 39-43.
- Nilsson, D. S., 1997. Optimal final pit depth: Once again. International Journal of Mining Engineering, 71-72.
- Onur, A. H., Dowd, P.A., 1992. Optimal Scheduling in Open Pit Mining. Leeds University Mining Association Journal, England, 71-80.
- Runge, I.C., 1998. Mining Economic and Strategy. Society for Mining, Metallurgy and Exploration, SME, Littleton, USA, 24-171.
- Sevim, H., Lei, D.D.,1994. The state of term production planning in open pit mining. Mine Planning and Equipment Selection, 69-75.
- Snowden, D.V., Glacken, I., Noppe, M., 2002. Dealing with Demands of Technical Variability and Uncertainty Along the Mine Value Chain. Value Tracking Symposium, Queensland, Australia.
- Tercan, A. E., Akcan, E., 2004. Assessment of uncertainty associated with grade–tonnage curves using geostatistical simulation. Mining Technology, Vol. 113:2, 129-136.
- Tercan, A. E., Akcan, E., 2005. Linyit Kalitesi-Rezerv Eğrilerindeki Belirsizliğin Jeoistatistiksel Benzetimle Değerlendirilmesi: Örnek Bir Çalışma. Madencilik, Cilt 44, Sayı 2, 3-16.
- Whittle, J., 1988. Beyond optimization in open pit design. Computer Applications in the Mineral Industry, Balkema, Rotterdam, 331-337.
Details
| Primary Language | Turkish |
|---|---|
| Journal Section | Research Article |
| Authors | |
| Publication Date | September 1, 2017 |
| Submission Date | March 2, 2017 |
| Published in Issue | Year 2017 Volume: 56 Issue: 3 |
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