Goal programming for sizing and allocation of a fleet of trucks in a mining company

Descripción del Articulo

Decision making in mining is a complicated process. Decisions regarding the sizing and allocation of the fleet of trucks to different mines, considering the compliance with production and the total objective cost, are of paramount importance to mining companies as this directly affects their profits...

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Detalles Bibliográficos
Autor: Quiroz-Silva, Edmundo
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad de Lima
Repositorio:Revistas - Universidad de Lima
Lenguaje:español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/4639
Enlace del recurso:https://revistas.ulima.edu.pe/index.php/Interfases/article/view/4639
Nivel de acceso:acceso abierto
Materia:Truck allocation
mining
linear programming
goal programming
Asignación de camiones
minería
programación lineal
programación por objetivos
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spelling Goal programming for sizing and allocation of a fleet of trucks in a mining companyProgramación por objetivos para el dimensionamiento y la asignación de una flota de camiones en una empresa mineraQuiroz-Silva, EdmundoTruck allocationmininglinear programminggoal programmingAsignación de camionesmineríaprogramación linealprogramación por objetivosDecision making in mining is a complicated process. Decisions regarding the sizing and allocation of the fleet of trucks to different mines, considering the compliance with production and the total objective cost, are of paramount importance to mining companies as this directly affects their profits. This document presents a model of goal programming (based on linear programming) to optimize mining operations in underground mining taking into account three goals: (a) To minimize deviations from the target production of different minerals, (b) to minimize the surplus of the total designated operating cost and (c) to maximize the use of concentrator plants’ maximum capacity. The model determines the number of trucks needed and provides the optimal allocation to each mine while addressing the goals and limitations of the mining operation. The proposed model was validated using real data from a Peruvian mining company.  La toma de decisiones en la minería es un proceso complicado. Las decisiones con respecto al dimensionamiento y a la asignación de la flota de camiones a diferentes minas, en consideración con el cumplimiento de la producción y del costo total objetivo, son de suma importancia para las empresas mineras, ya que esto afecta directamente las utilidades que pueden obtener. Este documento presenta un modelo de programación por objetivos (con base en la programación lineal) para optimizar las operaciones mineras de extracción en minas socavón, tomando en consideración tres objetivos: (a) Minimizar las desviaciones de la producción objetivo de diferentes minerales, (b) minimizar el excedente del costo operativo total designado y (c) maximizar el uso de la capacidad máxima de las plantas concentradores. El modelo determina la cantidad de camiones necesarios y proporciona la asignación óptima a cada mina, mientras se abordan los objetivos y las limitaciones de la operación minera; el modelo planteado es luego validado utilizando datos reales de una empresa minera peruana.Universidad de Lima2019-12-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ulima.edu.pe/index.php/Interfases/article/view/463910.26439/interfases2019.n012.4639Interfases; No. 012 (2019); 87-112Interfases; Núm. 012 (2019); 87-112Interfases; n. 012 (2019); 87-1121993-491210.26439/interfases2019.n012reponame:Revistas - Universidad de Limainstname:Universidad de Limainstacron:ULIMAspahttps://revistas.ulima.edu.pe/index.php/Interfases/article/view/4639/4619Copyright (c) 2020 Interfacesinfo:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/46392023-07-24T13:32:44Z
dc.title.none.fl_str_mv Goal programming for sizing and allocation of a fleet of trucks in a mining company
Programación por objetivos para el dimensionamiento y la asignación de una flota de camiones en una empresa minera
title Goal programming for sizing and allocation of a fleet of trucks in a mining company
spellingShingle Goal programming for sizing and allocation of a fleet of trucks in a mining company
Quiroz-Silva, Edmundo
Truck allocation
mining
linear programming
goal programming
Asignación de camiones
minería
programación lineal
programación por objetivos
title_short Goal programming for sizing and allocation of a fleet of trucks in a mining company
title_full Goal programming for sizing and allocation of a fleet of trucks in a mining company
title_fullStr Goal programming for sizing and allocation of a fleet of trucks in a mining company
title_full_unstemmed Goal programming for sizing and allocation of a fleet of trucks in a mining company
title_sort Goal programming for sizing and allocation of a fleet of trucks in a mining company
dc.creator.none.fl_str_mv Quiroz-Silva, Edmundo
author Quiroz-Silva, Edmundo
author_facet Quiroz-Silva, Edmundo
author_role author
dc.subject.none.fl_str_mv Truck allocation
mining
linear programming
goal programming
Asignación de camiones
minería
programación lineal
programación por objetivos
topic Truck allocation
mining
linear programming
goal programming
Asignación de camiones
minería
programación lineal
programación por objetivos
description Decision making in mining is a complicated process. Decisions regarding the sizing and allocation of the fleet of trucks to different mines, considering the compliance with production and the total objective cost, are of paramount importance to mining companies as this directly affects their profits. This document presents a model of goal programming (based on linear programming) to optimize mining operations in underground mining taking into account three goals: (a) To minimize deviations from the target production of different minerals, (b) to minimize the surplus of the total designated operating cost and (c) to maximize the use of concentrator plants’ maximum capacity. The model determines the number of trucks needed and provides the optimal allocation to each mine while addressing the goals and limitations of the mining operation. The proposed model was validated using real data from a Peruvian mining company.  
publishDate 2019
dc.date.none.fl_str_mv 2019-12-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.ulima.edu.pe/index.php/Interfases/article/view/4639
10.26439/interfases2019.n012.4639
url https://revistas.ulima.edu.pe/index.php/Interfases/article/view/4639
identifier_str_mv 10.26439/interfases2019.n012.4639
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.ulima.edu.pe/index.php/Interfases/article/view/4639/4619
dc.rights.none.fl_str_mv Copyright (c) 2020 Interfaces
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Interfaces
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad de Lima
publisher.none.fl_str_mv Universidad de Lima
dc.source.none.fl_str_mv Interfases; No. 012 (2019); 87-112
Interfases; Núm. 012 (2019); 87-112
Interfases; n. 012 (2019); 87-112
1993-4912
10.26439/interfases2019.n012
reponame:Revistas - Universidad de Lima
instname:Universidad de Lima
instacron:ULIMA
instname_str Universidad de Lima
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institution ULIMA
reponame_str Revistas - Universidad de Lima
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