Survival time and reliability assessment of bulk solids carriers in the mining and logistics industry

In complex industrial systems, the deterioration of equipment and production of defective products are important points that increase the costs inherent to the production function. In this context, the purpose of this article is to estimate the survival of a group of pieces of industrial port equipm...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Saymon Ricardo de Oliveira Sousa, Wesley Vieira da Silva, Claudimar Pereira da Veiga, Roselaine Ruviaro Zanini
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Industrial maintenance Kaplan-Meier estimator Cox regression Equipment reliability Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/a1ca7f6908464dddabe0eb221fd79198
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a1ca7f6908464dddabe0eb221fd79198
record_format	dspace
spelling	oai:doaj.org-article:a1ca7f6908464dddabe0eb221fd791982021-11-22T04:18:20ZSurvival time and reliability assessment of bulk solids carriers in the mining and logistics industry1018-363910.1016/j.jksues.2020.07.010https://doaj.org/article/a1ca7f6908464dddabe0eb221fd791982021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1018363920302749https://doaj.org/toc/1018-3639In complex industrial systems, the deterioration of equipment and production of defective products are important points that increase the costs inherent to the production function. In this context, the purpose of this article is to estimate the survival of a group of pieces of industrial port equipment known as solid bulk conveyors, thus contributing to decision-making in the maintenance process. To achieve this goal, the Kaplan-Meier method was used to estimate the probability of global survival, and the survival curves were compared using the Log-rank test. To this end, the effect of each covariate on the survival time of the conveyors was analyzed using the Cox regression model, for which an analysis of residuals and influential observations was conducted. The 75% probability of survival of solid bulk cargo is equivalent to an operational availability time of 444 h. It was found that, of the 95 conveyors that were evaluated, 38 (40%) failed and 57 (60%) were censored by the end of the study. The results indicate a significant reduction in the probability of survival of equipment during operation time, as well as a significant difference between the survival curves of the covariates of shift, types of minerals, the number of wagons and tons moved, indicating that these are important predictors in the Cox regression model.Saymon Ricardo de Oliveira SousaWesley Vieira da SilvaClaudimar Pereira da VeigaRoselaine Ruviaro ZaniniElsevierarticleIndustrial maintenanceKaplan-Meier estimatorCox regressionEquipment reliabilityEngineering (General). Civil engineering (General)TA1-2040ENJournal of King Saud University: Engineering Sciences, Vol 33, Iss 8, Pp 547-556 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Industrial maintenance Kaplan-Meier estimator Cox regression Equipment reliability Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Industrial maintenance Kaplan-Meier estimator Cox regression Equipment reliability Engineering (General). Civil engineering (General) TA1-2040 Saymon Ricardo de Oliveira Sousa Wesley Vieira da Silva Claudimar Pereira da Veiga Roselaine Ruviaro Zanini Survival time and reliability assessment of bulk solids carriers in the mining and logistics industry
description	In complex industrial systems, the deterioration of equipment and production of defective products are important points that increase the costs inherent to the production function. In this context, the purpose of this article is to estimate the survival of a group of pieces of industrial port equipment known as solid bulk conveyors, thus contributing to decision-making in the maintenance process. To achieve this goal, the Kaplan-Meier method was used to estimate the probability of global survival, and the survival curves were compared using the Log-rank test. To this end, the effect of each covariate on the survival time of the conveyors was analyzed using the Cox regression model, for which an analysis of residuals and influential observations was conducted. The 75% probability of survival of solid bulk cargo is equivalent to an operational availability time of 444 h. It was found that, of the 95 conveyors that were evaluated, 38 (40%) failed and 57 (60%) were censored by the end of the study. The results indicate a significant reduction in the probability of survival of equipment during operation time, as well as a significant difference between the survival curves of the covariates of shift, types of minerals, the number of wagons and tons moved, indicating that these are important predictors in the Cox regression model.
format	article
author	Saymon Ricardo de Oliveira Sousa Wesley Vieira da Silva Claudimar Pereira da Veiga Roselaine Ruviaro Zanini
author_facet	Saymon Ricardo de Oliveira Sousa Wesley Vieira da Silva Claudimar Pereira da Veiga Roselaine Ruviaro Zanini
author_sort	Saymon Ricardo de Oliveira Sousa
title	Survival time and reliability assessment of bulk solids carriers in the mining and logistics industry
title_short	Survival time and reliability assessment of bulk solids carriers in the mining and logistics industry
title_full	Survival time and reliability assessment of bulk solids carriers in the mining and logistics industry
title_fullStr	Survival time and reliability assessment of bulk solids carriers in the mining and logistics industry
title_full_unstemmed	Survival time and reliability assessment of bulk solids carriers in the mining and logistics industry
title_sort	survival time and reliability assessment of bulk solids carriers in the mining and logistics industry
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/a1ca7f6908464dddabe0eb221fd79198
work_keys_str_mv	AT saymonricardodeoliveirasousa survivaltimeandreliabilityassessmentofbulksolidscarriersintheminingandlogisticsindustry AT wesleyvieiradasilva survivaltimeandreliabilityassessmentofbulksolidscarriersintheminingandlogisticsindustry AT claudimarpereiradaveiga survivaltimeandreliabilityassessmentofbulksolidscarriersintheminingandlogisticsindustry AT roselaineruviarozanini survivaltimeandreliabilityassessmentofbulksolidscarriersintheminingandlogisticsindustry
_version_	1718418240186613760

Survival time and reliability assessment of bulk solids carriers in the mining and logistics industry

Ejemplares similares