Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

169
Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
169
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

234
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
234
Optimal Foraging00:48

Optimal Foraging

13.2K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.2K
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

142
A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
142
Quarrying of Stone01:15

Quarrying of Stone

430
Quarrying is the process of extracting stone from a quarry, where specialized techniques are employed to remove large blocks of stone safely and efficiently. This process can involve controlled explosions or more precision-oriented methods such as cutting and drilling.
One common method involves using a diamond belt saw to cut large blocks from the quarry face. These blocks can be about 50 feet long and 12 feet high. After the initial vertical cut, drilling is performed at the base of the...
430
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.0K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

High-order simulation of geological domains and effects on stochastic long-term planning of mining complexes.

Mining technology (Abingdon, Eng.)·2026
Same author

A reinforcement learning approach for selecting infill drilling locations considering long-term production planning in mining complexes with supply uncertainty.

Mining technology (Abingdon, Eng.)·2026
Same author

Joint stochastic optimisation of stope layout, production scheduling and access network.

Mining technology (Abingdon, Eng.)·2026
Same author

A New Non-stationary High-order Spatial Sequential Simulation Method.

Mathematical geosciences·2022
Same author

Training Image Free High-Order Stochastic Simulation Based on Aggregated Kernel Statistics.

Mathematical geosciences·2021
Same author

High-Order Sequential Simulation via Statistical Learning in Reproducing Kernel Hilbert Space.

Mathematical geosciences·2020

Related Experiment Video

Updated: Dec 26, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K

Simultaneous Stochastic Optimization of Mining Complexes and Mineral Value Chains.

Ryan Goodfellow1, Roussos Dimitrakopoulos1

  • 1COSMO - Stochastic Mine Planning Laboratory, McGill University, 3450 University Street, Montreal, QC H3A 0E8 Canada.

Mathematical Geosciences
|March 14, 2020
PubMed
Summary

This study introduces a new simultaneous stochastic optimization framework for mining complexes, integrating extraction, processing, and transport under uncertainty. The approach significantly improves production targets and net present value compared to traditional methods.

Keywords:
Materials mined and supply uncertaintyMetaheuristicsMining complexStochastic optimizationStochastic or geostatistical simulation

More Related Videos

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

10.5K
Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores
10:31

Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores

Published on: December 6, 2015

28.5K

Related Experiment Videos

Last Updated: Dec 26, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

10.5K
Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores
10:31

Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores

Published on: December 6, 2015

28.5K

Area of Science:

  • Operations Research
  • Mining Engineering
  • Energy Resource Management

Background:

  • Mining complexes are value chains transforming raw minerals into sellable products.
  • Uncertainty in raw material supply from mines is a major challenge in mining operations.
  • Existing optimization approaches often fail to address multiple interrelated aspects of the mineral value chain simultaneously.

Purpose of the Study:

  • To develop a simultaneous stochastic optimization framework for mining complexes.
  • To integrate material extraction uncertainty, risk management, blending, stockpiling, processing, and transportation into a single model.
  • To address limitations of past approaches by providing a holistic optimization solution.

Main Methods:

  • A two-stage stochastic mixed integer nonlinear programming (MINLP) formulation is presented.
  • Stochastic simulations are used to represent uncertainty in material extraction.
  • A metaheuristic-based solver is employed for large-scale mathematical formulations.

Main Results:

  • The simultaneous stochastic optimization framework demonstrated significant improvements over methods ignoring uncertainty.
  • Case studies showed enhanced ability to meet forecasted production targets.
  • Net present value was substantially improved through the integrated optimization approach.

Conclusions:

  • The developed stochastic framework offers a robust solution for optimizing complex mining operations.
  • The approach provides a unified model for managing various interdependent factors in the mineral value chain.
  • The methods are adaptable for optimizing other resource-based industries, such as smart oil fields.