En los últimos años, la evolución de la tecnología, desde el análisis de datos avanzado usando el poder de las nuevas computadoras, la data ciencia y la inteligencia artificial, ha alentado a muchas empresas mineras a cambiar su forma tradicional de planear y operar sus proyectos mineros, dirigiendo sus esfuerzos hacia una operación minera más holística e inteligente. Al lograr mejoras operativas que incrementan la productividad, y en consecuencia el valor económico de los pr

By Dr. Luis A. Martínez Tipe, PhD Director General & Principal Researcher, CAIDTech Originally published: February 14, 2026 In a previous paper, I discussed “The Flaw of Averages in Mine Project Evaluation” (read it here). The main issue with traditional evaluation methods is that they often rely on single estimated values (averages), which are inadequate when dealing with uncertainty and non-linear processes like mine planning and design optimization. In mining, using aver

By Dr. Luis A. Martínez Tipe, PhD Director General & Principal Researcher, CAIDTech Originally published: September 3, 2015 Fuente: Savage, S. (2000). The Flaw of Averages. reproduced with permission. INTRODUCTION Traditionally, mine organisations use various types of quantitative methods to estimate profit and loss associated with a proposed mine project. Among all these measures of profitability, the Net Present Value (NPV) that is based on the Discounted Cash Flow (DCF)