HIRAC-based risk management model with POKA–YOKE and TPM continuity to control and mitigate emergency scenarios in hydrocarbon sector operations

Jose Echevarria-Cahuas, Maria Quispe-Huapaya, Cesar Ramirez-Valdivia, Carlos Raymundo, Luis Rivera

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

It is currently known that LPG packaging plants pose a potential risk to their personnel, surroundings, and even their facilities. This was identified by studies conducted on LPG packaging plants accidents, specifically between 2011 and 2018. Their results show that at least 28 LPG plants were shut down in the country. The main dangers facing LPG plants are fires, leaks, flares, and spillages, among others. Therefore, the proposed model aims at reducing and mitigating the risks and emergency scenarios by implementing Hazard identification, risk assessment and control (HIRAC); POKA–YOKE, as engineering control measures; and Total Productive Maintenance (TPM). In the creation and implementation of this model, we jointly worked with the company PUNTO DE DISTRIBUCIÓN S.A.C. The results show that significant risks reduced to 0%, whereas the overall equipment effectiveness increased by 11%. Furthermore, the quality and availability indexes increased by 2% and 2.7%, respectively.

Idioma originalInglés
Título de la publicación alojadaIntelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020
Subtítulo de la publicación alojadaIntegrating People and Intelligent Systems
EditoresTareq Ahram, Waldemar Karwowski, Alberto Vergnano, Francesco Leali, Redha Taiar
EditorialSpringer
Páginas780-786
Número de páginas7
ISBN (versión impresa)9783030395117
DOI
EstadoPublicada - 2020
Evento3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 - Modena, Italia
Duración: 19 feb. 202021 feb. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1131 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia3rd International Conference on Intelligent Human Systems Integration, IHSI 2020
País/TerritorioItalia
CiudadModena
Período19/02/2021/02/20

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