Availability-based simulation and optimization modeling framework for open-pit mine truck allocation under dynamic constraints

We present a novel system productivity simulation and optimization modeling framework in which equipment availability is a variable in the expected productivity function of the system. The framework is used for allocating trucks by route according to their operating performances in a truck–shovel sy...

Full description

Saved in:
Bibliographic Details
Published in:International journal of mining science and technology 2013, Vol.23 (1), p.113-119
Main Authors: Mena, Rodrigo, Zio, Enrico, Kristjanpoller, Fredy, Arata, Adolfo
Format: Article
Language:English
Subjects:
Engineering Sciences
Open-pit
Optimization
Productivity
Reliability
Simulation
Truck allocation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We present a novel system productivity simulation and optimization modeling framework in which equipment availability is a variable in the expected productivity function of the system. The framework is used for allocating trucks by route according to their operating performances in a truck–shovel system of an open-pit mine, so as to maximize the overall productivity of the fleet. We implement the framework in an originally designed and specifically developed simulator–optimizer software tool. We make an application on a real open-pit mine case study taking into account the stochasticity of the equipment behavior and environment. The total system production values obtained with and without considering the equipment reliability, availability and maintainability (RAM) characteristics are compared. We show that by taking into account the truck and shovel RAM aspects, we can maximize the total production of the system and obtain specific information on the production availability and productivity of its components.
ISSN:2095-2686
2589-062X
DOI:10.1016/j.ijmst.2013.01.017