A dynamic simulation approach to support operational decision-making in underground mining

Huerta, Jairo Romero; Silva, Ranyere Sousa; Tomi, Giorgio de; Silva, Anna Luiza Marques Ayres da

doi:10.1016/j.simpat.2021.102458

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

334 Leonard St

Brooklyn, NY 11211

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A dynamic simulation approach to support operational decision-making in underground mining

Cited by 5 publications

References 22 publications

Simulation-Based Approach to Assess Impact of Increasing Skip Capacity for Underground Mining

Simulation-Based Approach to Assess Impact of Increasing Skip Capacity for Underground Mining

Integrated simulation and optimization framework for quantitative analysis of near-face stockpile mining

An assets maintenance-workforce planning problem under uncertainty: A chance constraints assisted simulation-optimization approach

Contact Info

Product

Resources

About