Adaptive simultaneous stochastic optimization of mining complexes: Where is the value coming from?

This paper aims to identify the sources of value created in the strategic plan of a mining complex when the adaptive simultaneous stochastic optimization of mining complex (ASSOMC) approach is used. This approach considers operational and investment alternatives dynamically within the simultaneous stochastic optimization of mining complex (SSOMC) framework, providing an adaptive strategic plan that manages technical risk and maximizes value. A case study on a world-class mining complex illustrates the effects of this optimization model, comparing the adaptive alternatives of the ASSOMC with the fixed SSOMC case. Results show that considering the SSOMC without alternatives was a starting point, including either investment or operational alternatives in a fixed manner, provides an increase in NPV of 4.4 % and 2.8 %, respectively; whereas considering both jointly increases the NPV by 10.3 %. On the other hand, when adaptive changes are considered over investments, such as additional crushers or conveyor belts, the NPV increases further, by about 20 %. The focus is placed on identifying the location and components where this extra value is created within the mining complex, understanding the effect that the alternatives have, and capitalizing from them. This study finds that, due to the non-linear synergies that exist between the different components of a mining complex, the adaptive aspect of the approach allows the production plan optimization to be proactive and to tailor its configuration according to possible changes and future developments. • Adaptive simultaneous stochastic optimization of mining complexes with operational and investment alternatives. • Strategic planning of a mining complex and identification value creation sources. • Direct risk management of material uncertainty and variability when optimizing mining complexes dynamically. • Proactive production planning optimization tailoring configuration based on possible changes and future developments. • Case study on a world-class mining complex showing identification of alternatives and capitalizing from them.

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Publication Details

Journal
Resources Policy
Published
2025-03-15
DOI
https://doi.org/10.1016/j.resourpol.2025.105549
Citations
1
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
1.21
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article

Adaptive simultaneous stochastic optimization of mining complexes: Where is the value coming from?

Roussos Dimitrakopoulos, Maria Fernanda Del Castillo
1 citations
Resources Policy
Mining Techniques and Economics
1.21
article

Adaptive simultaneous stochastic optimization of mining complexes: Where is the value coming from?

Roussos Dimitrakopoulos, Maria Fernanda Del Castillo
article en
1 citations

Abstract

This paper aims to identify the sources of value created in the strategic plan of a mining complex when the adaptive simultaneous stochastic optimization of mining complex (ASSOMC) approach is used. This approach considers operational and investment alternatives dynamically within the simultaneous stochastic optimization of mining complex (SSOMC) framework, providing an adaptive strategic plan that manages technical risk and maximizes value. A case study on a world-class mining complex illustrates the effects of this optimization model, comparing the adaptive alternatives of the ASSOMC with the fixed SSOMC case. Results show that considering the SSOMC without alternatives was a starting point, including either investment or operational alternatives in a fixed manner, provides an increase in NPV of 4.4 % and 2.8 %, respectively; whereas considering both jointly increases the NPV by 10.3 %. On the other hand, when adaptive changes are considered over investments, such as additional crushers or conveyor belts, the NPV increases further, by about 20 %. The focus is placed on identifying the location and components where this extra value is created within the mining complex, understanding the effect that the alternatives have, and capitalizing from them. This study finds that, due to the non-linear synergies that exist between the different components of a mining complex, the adaptive aspect of the approach allows the production plan optimization to be proactive and to tailor its configuration according to possible changes and future developments. • Adaptive simultaneous stochastic optimization of mining complexes with operational and investment alternatives. • Strategic planning of a mining complex and identification value creation sources. • Direct risk management of material uncertainty and variability when optimizing mining complexes dynamically. • Proactive production planning optimization tailoring configuration based on possible changes and future developments. • Case study on a world-class mining complex showing identification of alternatives and capitalizing from them.

Resources PolicyVol. 103
McGill University (CA)
Decent work and economic growth
Openalex Percentile: Top 26%
Mining Techniques and Economics
1.21
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