Optimization of the Haulage Cycle Model for Open Pit Mining Using a Discrete-Event Simulator and a Context-Based Alert System

Persistent Link:
http://hdl.handle.net/10150/321594
Title:
Optimization of the Haulage Cycle Model for Open Pit Mining Using a Discrete-Event Simulator and a Context-Based Alert System
Author:
Vasquez Coronado, Pedro Pablo
Issue Date:
2014
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The loading cycle in an Open Pit mine is a critical stage in the production process that needs to be controlled in detail for performance optimization. A comprehensive Alert System designed to notify supervisors of cycle times that are below the required performance standards is proposed. The system gives an alert message when one or several trucks are idle or the time of completing production tasks are over a predefined value. This alert is identified by the system and compared with pre-established Key Performance Indicators (KPIs) in order to determine corrective actions. The goal is to determine the strategies that help the production supervisor to optimize the haulage cycle model. A discrete-event simulator has been built in order to analyze different scenarios for route design and queue analysis. A methodology that utilizes different algorithms has been developed in order to identify the least productive times of the fleet. These results are displayed every time the simulation has finished. This research focuses on the optimization of haulage. However, the system is intended for implementation in subsequent stages of the production process, and the resulting improvement could impact mine planning and management as well. Topographic and drilling exploration data from a mine located hypothetically in the state of Arizona, were used to build a block model and to design an open pit; an Arena-based simulation was used to generate operating cycles that represent actual operations (As-Is model). Once the Alert System is implemented, adjustments were applied, and a new simulation was performed taking into consideration these adjustments (To-Be model), including comparative analysis and statistical results.
Type:
text; Electronic Thesis
Keywords:
KPI; Optimization; Productivity; Simulation; Mining Geological & Geophysical Engineering; Haulage
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Mining Geological & Geophysical Engineering
Degree Grantor:
University of Arizona
Advisor:
Tenorio Gutierrez, Victor Octavio; Momayez, Moe

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleOptimization of the Haulage Cycle Model for Open Pit Mining Using a Discrete-Event Simulator and a Context-Based Alert Systemen_US
dc.creatorVasquez Coronado, Pedro Pabloen_US
dc.contributor.authorVasquez Coronado, Pedro Pabloen_US
dc.date.issued2014-
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe loading cycle in an Open Pit mine is a critical stage in the production process that needs to be controlled in detail for performance optimization. A comprehensive Alert System designed to notify supervisors of cycle times that are below the required performance standards is proposed. The system gives an alert message when one or several trucks are idle or the time of completing production tasks are over a predefined value. This alert is identified by the system and compared with pre-established Key Performance Indicators (KPIs) in order to determine corrective actions. The goal is to determine the strategies that help the production supervisor to optimize the haulage cycle model. A discrete-event simulator has been built in order to analyze different scenarios for route design and queue analysis. A methodology that utilizes different algorithms has been developed in order to identify the least productive times of the fleet. These results are displayed every time the simulation has finished. This research focuses on the optimization of haulage. However, the system is intended for implementation in subsequent stages of the production process, and the resulting improvement could impact mine planning and management as well. Topographic and drilling exploration data from a mine located hypothetically in the state of Arizona, were used to build a block model and to design an open pit; an Arena-based simulation was used to generate operating cycles that represent actual operations (As-Is model). Once the Alert System is implemented, adjustments were applied, and a new simulation was performed taking into consideration these adjustments (To-Be model), including comparative analysis and statistical results.en_US
dc.typetexten
dc.typeElectronic Thesisen
dc.subjectKPIen_US
dc.subjectOptimizationen_US
dc.subjectProductivityen_US
dc.subjectSimulationen_US
dc.subjectMining Geological & Geophysical Engineeringen_US
dc.subjectHaulageen_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineMining Geological & Geophysical Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorTenorio Gutierrez, Victor Octavioen_US
dc.contributor.advisorMomayez, Moeen_US
dc.contributor.committeememberTenorio Gutierrez, Victor Octavioen_US
dc.contributor.committeememberMomayez, Moeen_US
dc.contributor.committeememberKim, Kwangminen_US
dc.contributor.committeememberSon, Young-Junen_US
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