Optimization of the sizing of compaction machinery fleets for civil and mining works

Finley Pozo; Andrews A. Erazo-Rondinel; Angela C. Gago-Gamboa; Rodrigo F. Herrera; Fermin Pozo

doi:10.1109/CONIITI57704.2022.9953688

Optimization of the sizing of compaction machinery fleets for civil and mining works

Finley Pozo, Andrews A. Erazo-Rondinel, Angela C. Gago-Gamboa, Rodrigo F. Herrera, Fermin Pozo

EAP Ingeniería civil

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

Resumen

Worldwide, in works where earthmoving deliverables are predominant, heavy machinery represents between 20-50% of the total operating cost, so optimizing the processes that involve its use in this type of construction work becomes necessary. Unfortunately, there are few analytical methodologies for the sizing of the equipment to perform these works. For this reason, this article aims to develop a mathematical model capable of optimizing the costs incurred when determining the type and quantity of compactors, relying on linear programming. The whole process is developed through the application of the case study in a Highway project in Perú.

Idioma original	Inglés estadounidense
Título de la publicación alojada	2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings
Editores	Victor Manuel Fontalvo Morales
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781665465250
DOI	https://doi.org/10.1109/CONIITI57704.2022.9953688
Estado	Indizado - 2022
Evento	2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Bogota, Colombia Duración: 5 oct. 2022 → 7 oct. 2022

Serie de la publicación

Nombre	2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings

Conferencia

Conferencia	2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022
País/Territorio	Colombia
Ciudad	Bogota
Período	5/10/22 → 7/10/22

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Publisher Copyright:
© 2022 IEEE.

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Pozo, F., Erazo-Rondinel, A. A., Gago-Gamboa, A. C., Herrera, R. F., & Pozo, F. (2022). Optimization of the sizing of compaction machinery fleets for civil and mining works. En V. M. F. Morales (Ed.), 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings (2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONIITI57704.2022.9953688

Pozo, Finley ; Erazo-Rondinel, Andrews A. ; Gago-Gamboa, Angela C. et al. / Optimization of the sizing of compaction machinery fleets for civil and mining works. 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings. editor / Victor Manuel Fontalvo Morales. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings).

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title = "Optimization of the sizing of compaction machinery fleets for civil and mining works",

abstract = "Worldwide, in works where earthmoving deliverables are predominant, heavy machinery represents between 20-50% of the total operating cost, so optimizing the processes that involve its use in this type of construction work becomes necessary. Unfortunately, there are few analytical methodologies for the sizing of the equipment to perform these works. For this reason, this article aims to develop a mathematical model capable of optimizing the costs incurred when determining the type and quantity of compactors, relying on linear programming. The whole process is developed through the application of the case study in a Highway project in Per{\'u}.",

keywords = "earthwork, Linear Programming, Programming, sizing of machinery",

author = "Finley Pozo and Erazo-Rondinel, {Andrews A.} and Gago-Gamboa, {Angela C.} and Herrera, {Rodrigo F.} and Fermin Pozo",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 ; Conference date: 05-10-2022 Through 07-10-2022",

year = "2022",

doi = "10.1109/CONIITI57704.2022.9953688",

language = "American English",

series = "2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings",

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Pozo, F, Erazo-Rondinel, AA, Gago-Gamboa, AC, Herrera, RF & Pozo, F 2022, Optimization of the sizing of compaction machinery fleets for civil and mining works. En VMF Morales (ed.), 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings. 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022, Bogota, Colombia, 5/10/22. https://doi.org/10.1109/CONIITI57704.2022.9953688

Optimization of the sizing of compaction machinery fleets for civil and mining works. / Pozo, Finley; Erazo-Rondinel, Andrews A.; Gago-Gamboa, Angela C. et al.
2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings. ed. / Victor Manuel Fontalvo Morales. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings).

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Optimization of the sizing of compaction machinery fleets for civil and mining works

AU - Pozo, Finley

AU - Erazo-Rondinel, Andrews A.

AU - Gago-Gamboa, Angela C.

AU - Herrera, Rodrigo F.

AU - Pozo, Fermin

PY - 2022

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N2 - Worldwide, in works where earthmoving deliverables are predominant, heavy machinery represents between 20-50% of the total operating cost, so optimizing the processes that involve its use in this type of construction work becomes necessary. Unfortunately, there are few analytical methodologies for the sizing of the equipment to perform these works. For this reason, this article aims to develop a mathematical model capable of optimizing the costs incurred when determining the type and quantity of compactors, relying on linear programming. The whole process is developed through the application of the case study in a Highway project in Perú.

AB - Worldwide, in works where earthmoving deliverables are predominant, heavy machinery represents between 20-50% of the total operating cost, so optimizing the processes that involve its use in this type of construction work becomes necessary. Unfortunately, there are few analytical methodologies for the sizing of the equipment to perform these works. For this reason, this article aims to develop a mathematical model capable of optimizing the costs incurred when determining the type and quantity of compactors, relying on linear programming. The whole process is developed through the application of the case study in a Highway project in Perú.

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KW - Linear Programming

KW - Programming

KW - sizing of machinery

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Pozo F, Erazo-Rondinel AA, Gago-Gamboa AC, Herrera RF, Pozo F. Optimization of the sizing of compaction machinery fleets for civil and mining works. En Morales VMF, editor, 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings). doi: 10.1109/CONIITI57704.2022.9953688

Optimization of the sizing of compaction machinery fleets for civil and mining works

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