Article
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Preserved in Portico This version is not peer-reviewed
Methodology for a Dump Design Optimization in Large-Scale Open Pit Mines
Version 1
: Received: 5 May 2017 / Approved: 5 May 2017 / Online: 5 May 2017 (05:29:10 CEST)
A peer-reviewed article of this Preprint also exists.
Puell Ortiz, J. Methodology for a Dump Design Optimization in Large-Scale Open Pit Mines. Cogent Eng. 2017, 4, 1387955. Puell Ortiz, J. Methodology for a Dump Design Optimization in Large-Scale Open Pit Mines. Cogent Eng. 2017, 4, 1387955.
Abstract
Dump design and scheduling are critical elements to effective mine planning, especially if several of them are required in large-scale open pit mines. Infrastructure capital and transportation costs are considerable from an early stage in the mining project, and through the life-of-mine as these dumps gradually become immense structures. Delivered mining rates, as well as certain spatial and physical constraints, provide a set of parameters of mathematical and economic relationship that creates opportunities for modelling and thus facilitates the measuring and optimization of ultimate dump design by using programming and empirical techniques while achieving economic objectives. This paper presents a methodology to model and optimize the design of a mine dump by minimizing the total haulage costs. The proposed methodology consists on: (i) Formulation of a dump model based on a system of equations relying on multiple relevant parameters; (ii) Solves by minimizing the total cost using linear programming and determines a ‘preliminary’ dump design; (iii) Through a series of iterations, modifies the ‘preliminary’ footprint by projecting it to the topography and creates the ultimate dump design. Finally, an example application for a waste rock dump illustrates this methodology.
Keywords
mine planning; dump design; open pit; optimization
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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