Risk identification in tugboat using failure mode and effect analysis
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FMEA, Tugboat, Reliability, Maintenance, Engine, RPN, FMEA, tugboat, reliability, maintenance, engine, RPN
Tugboats are essential for the operation of seaports. These have the functions of towing and helping those ships, barges or barges that cannot move by themselves; in addition, to escort ships containing dangerous goods. These vessels are mostly powered by a diesel engine of great power in relation to the size of the ship. The engine is the main element of a tugboat. The objective of this work is to estimate the risk weighting number for each of the engine failures, in order to prioritize maintenance activities and improve the reliability of the ship's engine based on this indicator. For this, the failure mode and effect analysis tool, the SAE JA 1011, SAE JA 1012 and ISO 14224 standards and the assessment of the severity, the occurrence and the possibility of detection each failure are used. The result is the division of the asset into 6 subsystems, 473 failures are identified in total, 17 of high risk, 28 of medium risk and 428 of low risk. It can be concluded that, most of the critical faults are in the engine cooling system.
M. Gasca,L.Camargo y B. Medina, «Gestión del mantenimiento para la confiabilidad operacional,» Revista Espacios, vol. 41, nº 47, pp. 250-261, 2020. DOI: https://doi.org/10.48082/espacios-a20v41n47p18
L. Mora, Mantenimiento. Planeación, ejecución y control,México D.F:Alfaomega Grupo Editor, 2009.
M. Gasca, L. Camargo y B. Medina, «Sistema para evaluar la confiabilidad de equipos críticos en el sector industrial,» Información tecnológica, vol. 28, nº 4, pp. 111-124, 2017. DOI: https://doi.org/10.4067/S0718-07642017000400014
J. Moubray, Reliability-centered maintenance, New York: Industrial Press Inc, 2001.
H. Liu, L. Wang, L. Z. y Y. Hu, «Improving risk evaluation in FMEA with cloud model and hierarchical TOPSIS method,» IEEE Transactions on Fuzzy Systems, vol. 27, nº1,pp.84-95, 2018. DOI: https://doi.org/10.1109/TFUZZ.2018.2861719
I. Silva-Urbina, M. Rodríguez-Pineda, R. Acosta-Rozo y P. Gómez-Monsalve, «Diseño de plan de mantenimiento preventivo para los talleres del centro CIES Sena Regional Norte de Santander utilizando metodología AMEF,» Mundo FESC, vol. 9, nº 18, pp. 36-46, 2019. DOI: https://doi.org/10.61799/2216-0388.446
L. Pérez-Domínguez, E. Almeida y E. León, «Aplicación de los métodos AMEF-TOPSIS-AHP para determinar el RPN,» Mundo FESC, vol. 11, nº 21, pp. 37-46, 2021. DOI: https://doi.org/10.61799/2216-0388.629
L. Pérez-Domínguez, M. Cruz-Hernández,D. Luviano-Cruz y L. Rodríguez-Picón, «Aplicación AMEF con MOORA para la evaluación de un caso,» Mundo FESC, vol. 11, nº 21, pp. 26-36, 2021. DOI: https://doi.org/10.61799/2216-0388.627
X. Wei, S. Jia, Q. Meng y K. Tan, «Tugboat scheduling for container ports,» Transportation Research Part E: Logistics and Transportation Review, vol. 142, nº 10, p. 102071, 2020. DOI: https://doi.org/10.1016/j.tre.2020.102071
M. Jurkovic, T. Kalina, O. Stopka, P. Gorzelanczyk y B. Abramovic, «Economic Calculation and Operations Research in Terms of LNG Carriage by Water Transport: A Case Study of the Port of Bratislava,» Sustainability, vol. 13, nº 6, p. 3414, 2021. DOI: https://doi.org/10.3390/su13063414
CATERPILLAR, «SISTEMAS DE POTENCIA MARINOS,» 1 6 2020. [En línea]. Available: https://www.cat.com/es_MX/products/new/power-systems/marine-power-systems.html. [Último acceso: 15 1 2021].
C. Rojas, «Análisis de fallas en motores y generadores eléctricos de embarcación marítima de carga,» Universidad Católica de Santiago de Guayaquil, Guayaquil, 2021.
A. Ramírez, J. Coy y M. Velásquez, «Infraestructura logística y estrategias de marketing para la competitividad portuaria,» Revista de economía & administración, vol. 12, nº 2, pp. 95-112, 2015.
GRUPO EMPRESARIAL PUERTO DE SANTA MARTA, «PUERTO DE SANTA MARTA,» 1 6 2020. [En línea]. Available: https://www.spsm.com.co/Servicios/TarifasPuerto. [Último acceso: 1 2 2021].
M. Fernández y L. Shkiliova, «Validación de un método para el cálculo de indicadores de mantenimiento,» Revista Ciencias Técnicas Agropecuarias, vol. 21, nº 4, pp. 72-79, 2012.
P. Chemweno, L. Pintelon, A. Van Horenbeek y P. Muchiri, «Development of a risk assessment selection methodology for asset maintenance decision making: An analytic network process (ANP) approach,» International Journal of Production Economics, vol. 170, nº 12, pp. 663-676, 2015. DOI: https://doi.org/10.1016/j.ijpe.2015.03.017
ISO, 14224:2016 Petroleum, petrochemical and natural gas industries - Collection and exchange of reliability and maintenance data for equipment, SUiza: ISO, 2016.
SAE, JA1011_200908, Evaluation criteria for reliability-centered maintenance (RCM) processes, Washington: SAE, 2009.
SAE, JA1012_201108, A guide to the reliability-centered maintenance (RCM) standard, Washington: SAE, 2002.
D. Gazzoli, S. Sebastián y C. Ghisolfi, «Matriz de riesgo: experiencia en nuestro laboratorio,» Revista Bioquímica y Patología Clínica, vol. 85, nº 1, pp. 21-25, 2021. DOI: https://doi.org/10.62073/bypc.v85i1.60
Tugboats are essential for the operation of seaports. These have the functions of towing and helping those ships, barges or barges that cannot move by themselves; in addition, to escort ships containing dangerous goods. These vessels are mostly powered by a diesel engine of great power in relation to the size of the ship. The engine is the main element of a tugboat. The objective of this work is to estimate the risk weighting number for each of the engine failures, in order to prioritize maintenance activities and improve the reliability of the ship's engine based on this indicator. For this, the failure mode and effect analysis tool, the SAE JA 1011, SAE JA 1012 and ISO 14224 standards and the assessment of the severity, the occurrence and the possibility of detection each failure are used. The result is the division of the asset into 6 subsystems, 473 failures are identified in total, 17 of high risk, 28 of medium risk and 428 of low risk. It can be concluded that, most of the critical faults are in the engine cooling system.
M. Gasca,L.Camargo y B. Medina, «Gestión del mantenimiento para la confiabilidad operacional,» Revista Espacios, vol. 41, nº 47, pp. 250-261, 2020. DOI: https://doi.org/10.48082/espacios-a20v41n47p18
L. Mora, Mantenimiento. Planeación, ejecución y control,México D.F:Alfaomega Grupo Editor, 2009.
M. Gasca, L. Camargo y B. Medina, «Sistema para evaluar la confiabilidad de equipos críticos en el sector industrial,» Información tecnológica, vol. 28, nº 4, pp. 111-124, 2017. DOI: https://doi.org/10.4067/S0718-07642017000400014
J. Moubray, Reliability-centered maintenance, New York: Industrial Press Inc, 2001.
H. Liu, L. Wang, L. Z. y Y. Hu, «Improving risk evaluation in FMEA with cloud model and hierarchical TOPSIS method,» IEEE Transactions on Fuzzy Systems, vol. 27, nº1,pp.84-95, 2018. DOI: https://doi.org/10.1109/TFUZZ.2018.2861719
I. Silva-Urbina, M. Rodríguez-Pineda, R. Acosta-Rozo y P. Gómez-Monsalve, «Diseño de plan de mantenimiento preventivo para los talleres del centro CIES Sena Regional Norte de Santander utilizando metodología AMEF,» Mundo FESC, vol. 9, nº 18, pp. 36-46, 2019. DOI: https://doi.org/10.61799/2216-0388.446
L. Pérez-Domínguez, E. Almeida y E. León, «Aplicación de los métodos AMEF-TOPSIS-AHP para determinar el RPN,» Mundo FESC, vol. 11, nº 21, pp. 37-46, 2021. DOI: https://doi.org/10.61799/2216-0388.629
L. Pérez-Domínguez, M. Cruz-Hernández,D. Luviano-Cruz y L. Rodríguez-Picón, «Aplicación AMEF con MOORA para la evaluación de un caso,» Mundo FESC, vol. 11, nº 21, pp. 26-36, 2021. DOI: https://doi.org/10.61799/2216-0388.627
X. Wei, S. Jia, Q. Meng y K. Tan, «Tugboat scheduling for container ports,» Transportation Research Part E: Logistics and Transportation Review, vol. 142, nº 10, p. 102071, 2020. DOI: https://doi.org/10.1016/j.tre.2020.102071
M. Jurkovic, T. Kalina, O. Stopka, P. Gorzelanczyk y B. Abramovic, «Economic Calculation and Operations Research in Terms of LNG Carriage by Water Transport: A Case Study of the Port of Bratislava,» Sustainability, vol. 13, nº 6, p. 3414, 2021. DOI: https://doi.org/10.3390/su13063414
CATERPILLAR, «SISTEMAS DE POTENCIA MARINOS,» 1 6 2020. [En línea]. Available: https://www.cat.com/es_MX/products/new/power-systems/marine-power-systems.html. [Último acceso: 15 1 2021].
C. Rojas, «Análisis de fallas en motores y generadores eléctricos de embarcación marítima de carga,» Universidad Católica de Santiago de Guayaquil, Guayaquil, 2021.
A. Ramírez, J. Coy y M. Velásquez, «Infraestructura logística y estrategias de marketing para la competitividad portuaria,» Revista de economía & administración, vol. 12, nº 2, pp. 95-112, 2015.
GRUPO EMPRESARIAL PUERTO DE SANTA MARTA, «PUERTO DE SANTA MARTA,» 1 6 2020. [En línea]. Available: https://www.spsm.com.co/Servicios/TarifasPuerto. [Último acceso: 1 2 2021].
M. Fernández y L. Shkiliova, «Validación de un método para el cálculo de indicadores de mantenimiento,» Revista Ciencias Técnicas Agropecuarias, vol. 21, nº 4, pp. 72-79, 2012.
P. Chemweno, L. Pintelon, A. Van Horenbeek y P. Muchiri, «Development of a risk assessment selection methodology for asset maintenance decision making: An analytic network process (ANP) approach,» International Journal of Production Economics, vol. 170, nº 12, pp. 663-676, 2015. DOI: https://doi.org/10.1016/j.ijpe.2015.03.017
ISO, 14224:2016 Petroleum, petrochemical and natural gas industries - Collection and exchange of reliability and maintenance data for equipment, SUiza: ISO, 2016.
SAE, JA1011_200908, Evaluation criteria for reliability-centered maintenance (RCM) processes, Washington: SAE, 2009.
SAE, JA1012_201108, A guide to the reliability-centered maintenance (RCM) standard, Washington: SAE, 2002.
D. Gazzoli, S. Sebastián y C. Ghisolfi, «Matriz de riesgo: experiencia en nuestro laboratorio,» Revista Bioquímica y Patología Clínica, vol. 85, nº 1, pp. 21-25, 2021. DOI: https://doi.org/10.62073/bypc.v85i1.60