 Determination of the optimum cut-off grades and production scheduling in multi-product open pit mines using imperialist competitive algorithm (ICA)Sadjad Mohammadi, Reza Kakaie, Mohammad Ataei and Eshagh Pourzamani Resources Policy, 2017, vol. 51, issue C, 39-48 Abstract: With regard to the immense importance of cut-off grade in designing and planning open pit mines, optimizing this parameter has considerable effects in mining economic. This paper describes objective function for single metal mines with multi-product. For this purpose, the operation process in mine No.1 of the Golgohar iron mine that produces three types of products (sizing, concentrate and pellet) for sales is used to model objective function. Then the Imperialist Competitive Algorithm (ICA) has been utilized to find out the optimum cut-off grades. Consequently, the optimum cut-off grades has been calculated between 40.5 and 47.5% and net present value has been obtained 18,142 billion Rial. In addition, production scheduling is carried out for five years mining plan pushback. Therefore, the average stripping ratio has been determined 1.41. The result shows that by stockpiling low-grade ore, concentrate plant can be fed by maximum capacity for one year addition to the primary plan. Keywords: Open pit mines; Optimum cut-off grade; Production scheduling; Meta-heuristic algorithm; ICA; Golgohar iron mine (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:51:y:2017:i:c:p:39-48 DOI: 10.1016/j.resourpol.2016.11.005 Access Statistics for this article Resources Policy is currently edited by R. G. Eggert More articles in Resources Policy from Elsevier |
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