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A structured key cost analysis methodolo

LoM, Tukalanza

2026enunderground miningoperating costsrisk analysisMonte Carlo simulationproject evaluationcost management

Abstract

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The development of a large-scale underground mining operation involves several stages that lead from the initial discovery of ore to first production. The objective of this study is to present a structured methodology for analyzing key cost drivers associated with these projects. Through a thorough examination of economic evaluations, the research highlights that early-stage evaluations often overlook major risk factors related to cost drivers, which can lead to significant underperformance and increased operating costs in mining megaprojects. The methodology is designed to identify value-contributing activities by breaking down costs into capital and operating expenditures, while comparing internal and external project variables. The results reveal that nearly 70% of mining megaprojects fail to meet their key success criteria due to inadequate cost projections and a lack of understanding of the contributing factors affecting operational costs. By implementing a structured approach to cost analysis, mining projects can improve their economic evaluations and overall performance, ultimately leading to enhanced decision-making and reduced uncertainty in future operations.

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Cite This Work

@article{b7552ae3-61c5-417e-b2cc-80e4e59852b6,
  title={A structured key cost analysis methodolo},
  author={LoM and Tukalanza},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - A structured key cost analysis methodolo
AU  - LoM
AU  - Tukalanza
PY  - 2026
LA  - en
ER  -

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