The simultaneous stochastic optimization of mining complexes (SSOMC) is a large-scale stochastic combinatorial optimization problem that simultaneously manag...

The geometallurgical models that predicting the throughput/comminution performance of the a processing plant often rely on rock hardness models, which are ba...

Stope design optimization defines mineable three-dimensional material volumes to be extracted from a mineral deposit, aiming to maximize cashflows subject ...

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 ...

An innovative strategic mine planning approach is applied to a multi-mine and multi-process gold mining complex that simultaneously considers feasible capita...

This article presents a novel stochastic optimization model that simultaneously optimizes the short-term extraction sequence, shovel relocation, scheduling o...

A training-image free, high-order sequential simulation method is proposed herein, which is based on the efficient inference of high-order spatial statistics...

This paper presents a new truck dispatching policy approach that is adaptive given different mining complex configurations in order to deliver supply materia...

Industrial mining complexes can be optimized using simultaneous stochastic optimization (SSO), which manages the risks associated with meeting production tar...

Geostatistically simulated representations of mineral deposits are used for resource/reserve assessments, mine design and production planning, project evalua...

A new linear model is presented herein to optimize strategic production scheduling of an open pit mine with multiple processing streams while accounting for...

This paper presents the application of adaptive simultaneous stochastic optimization with a representative branching framework to generate the strategic pl...

A new mathematical model for stochastic short-term optimization of mining complexes is presented that simultaneously optimizes the short-term extraction sequ...

With sufficient layers, enough training data, enough time, and often a custom tailored architecture, modern deep learning methods can be extremely successf...

Mineral value chains or mining complexes involve mining, processing, stockpiling, waste management, and transportation activities. An integrated stochastic...

The open-pit mine production scheduling problem aims to optimize the net present value of a mining asset. Several solution methods have been proposed to find...

A hyper-heuristic refers to a search method or a learning mechanism for selecting or generating heuristics to solve computational search problems. Operat...

New digital technologies including the development of advanced sensors and monitoring devices have enabled a mining complex to acquire new information abou...

Mining complexes are value chains where extracted material from different mines is transformed into sellable products through a set of processing streams. ...

High-order sequential simulation methods have been developped as an alternative to existing frameworks to facilitate the modelling of spatial complexity of...