Is risk analysis a useful tool for improving process safety?

Pasman, Hans J.; Jung, Seungho; Prem, Katherine P.; Rogers, William J.; Yang, Xiaole

doi:10.1016/j.jlp.2009.08.001

Cited by 62 publications

(17 citation statements)

References 13 publications

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“…The classification of hazardous events based on the adoption of probability values is incomplete (Pasman et al, 2009). Therefore a significant risk indicator (expected value of damage) should be considered in order to plan emergency operations.…”

Section: Resultsmentioning

confidence: 99%

Risk Analysis in Handling and Storage of Petroleum Products

Guarascio

Lombardi²,

Federica

2013

American Journal of Applied Sciences

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Increase in productivity and technological system innovation have resulted a boost in the specific activity of use and handling petroleum Products the chemical and physical properties of petroleum products represent an advantage when they are used for its own uses, but may result in accidental scenarios which can cause serious damage to people and to environment. The quantitative risk analysis applied to gasoline storage plant is a tool to quantify the damage and to planning safety of exposed workers and people in surrounding area. Therefore this represents an effective means for emergency planning. Defined the vulnerability of the potential damage area through the characterization of known exposure levels, is possible to assess the individual risk indicators which depends on these exposure levels and the hazard scenarios evolution. The evaluations are used to verify that, for the emergency management purposes and safety design, it is partial to consider only the accidental events with high probability of occurrence but is exhaustive to use a quantitative probabilistic risk indicator (Expected Value of Damage). Through simulation of generated danger flow, consistent with the operating conditions of the plant, the compliance conditions in the early step of emergency management and the practical procedures for the implementation of the identified hazard scenarios have been laid down. These assessments check, as strategic goals, that the collection areas are not affected by the danger flow.

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Section: Resultsmentioning

confidence: 99%

Risk Analysis in Handling and Storage of Petroleum Products

Guarascio

Lombardi²,

Federica

2013

American Journal of Applied Sciences

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“…El análisis de los riesgos permite minimizar el riesgo de los trabajadores y del entorno de las consecuencias en cadena que pueden ocasionar los accidentes (Pasman, Jung, Prem, Rogers, y Yang, 2009). Es por ello que cada vez más se requiere del trabajo de ingenieros para que aprueben la seguridad de nuevos productos y sistemas, especialmente de aquellos que pueden presentar riesgos potenciales, como por ejemplo las plantas industriales (O'Connor, 2008).…”

Section: Gestión Del Riesgounclassified

Protocol: Material flow risk evaluation for layout design

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García-Sabater

2016

Work. pap. oper. manag.

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The need of design new layouts or redesign current situation to manufacture new products has increased principally due to changes in customer demand, on both variety aspects and quantity (Lu, Shpitalni, and Gadh, 1999 (Lu, Shpitalni, y Gadh, 1999 Resumen La necesidad de diseñar nuevos sistemas o de reconfigurar los presentes para producir nuevos productos se ha incrementado en gran parte debido a los cambios en la demanda de los clientes, tanto en aspectos de variedad como de cantidad de productos

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“…As studied by Pasman et al (2009), considerable differences can be observed in output results when applying different risk assessment studies for particular hazardous events related to the same system. These differences are due to the fact that different experts perform the studies and also to differences in the information available to each team.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty quantification in dynamic system risk assessment: a new approach with randomness and fuzzy theory

Abdo

Flaus

2016

International Journal of Production Research

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International audienceQuantifying uncertainty during risk analysis has become an important part of effective decision-making and health risk assessment. However, most risk assessment studies struggle with uncertainty analysis and yet uncertainty with respect to model parameter values is of primary importance. Capturing uncertainty in risk assessment is vital in order to perform a sound risk analysis. In this paper, an approach to uncertainty analysis based on the fuzzy set theory and the Monte Carlo simulation is proposed. The question then arises as to how these two modes of representation of uncertainty can be combined for the purpose of estimating risk. The proposed method is applied to a propylene oxide polymerisation reactor. It takes into account both stochastic and epistemic uncertainties in the risk calculation. This study explores areas where random and fuzzy logic models may be applied to improve risk assessment in industrial plants with a dynamic system (change over time). It discusses the methodology and the process involved when using random and fuzzy logic systems for risk management

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Is risk analysis a useful tool for improving process safety?

Cited by 62 publications

References 13 publications

Risk Analysis in Handling and Storage of Petroleum Products

Risk Analysis in Handling and Storage of Petroleum Products

Protocol: Material flow risk evaluation for layout design

Uncertainty quantification in dynamic system risk assessment: a new approach with randomness and fuzzy theory

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