Kumral M.2024-08-042024-08-0420119786050101034https://hdl.handle.net/11616/9238622nd International Mining Congress and Exhibition of Turkey, IMCET 2011 -- 11 May 2011 through 13 May 2011 -- 110210Geo-metallurgical variables control the performances of mining and mineral processing operations. As the fluctuations of geo-metallurgical variables increases, mine production scheduling will be difficult procedure. In conventional approach, the objective is to maximize net present value (NPV) of project. This objective generates descending order of average grade mean. This imposes additional problems on recoveries and throughput in the mill. The problem may be, to some extent, controlled by blending constraint in traditional approach. The blending constraint keeps average grade within upper and lower limits. If there is a very narrow range between upper and lower limits, the average grade of production in each period will be similar. However, the inclusion of this constraint will substantially increase computational time. Therefore, a new model is proposed to tackle with the problem such that computational time is reduced. The idea behind this model is to extract more homogenous metal quantity in the periods instead of maximization of NPV. In new model, the objective function is expressed as a maximin (maximize the minimum) problem. In the case where there is correlation between grade and geo-metallurgical variables, this model generates reasonably good results.eninfo:eu-repo/semantics/closedAccessBlendingMetallurgyProduction controlBlending constraintsComputational timeConventional approachMetallurgical variablesMineral processingNet present valueObjective functionsTraditional approachesSchedulingConference Object41452-s2.0-84923081658N/A