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Risk assessment in LPG loading operations by simulation

Authors :
Gallab, M.
Tkiouat, M.
Hafida Bouloiz
Garbolino, E.
Laboratoire d'Etudes et Recherche en Mathématiques Appliquées (LERMA)
Ecole Mohammadia d'Ingénieurs (EMI)
Laboratoire du génie industriel et informatique (LG2I)
Laboratoire du génie industriel et informatique
Centre de recherche sur les Risques et les Crises (CRC)
MINES ParisTech - École nationale supérieure des mines de Paris
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Source :
Proceedings of the International Conference on Industrial Engineering and Operations Management, 7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017, 7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017, Apr 2017, Rabat, Morocco. pp.783-793-ISBN 978-098554976-3, Scopus-Elsevier
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

International audience; The objective of this paper is to assess the risks associated with LPG loading and especially the risks that could undergo the pump. The pump is substantial equipment that ensures and guarantees the LPG loading. A list of failure scenarios related to this equipment was conducted. The most relevance will be simulated. AnyLogic platform based on Multi-Agent Systems is used to assess the safety of this supply chain. This simulation allows the calculation of the criticality of each failure occurrence and specifies the status of the equipment (working, degraded, shutdown). The final goal is orienting responsible to the best assessment decisions.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the International Conference on Industrial Engineering and Operations Management, 7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017, 7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017, Apr 2017, Rabat, Morocco. pp.783-793-ISBN 978-098554976-3, Scopus-Elsevier
Accession number :
edsair.dedup.wf.001..3dd64a211c3e4bf9a06ab48b1ac34a4b