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HADEF H, DJEBABRA M, SEDRAT L, TAGHLABET M. Contribution to the evaluation of safety barriers performance. World Journal of Science, Technology and Sustainable Development [Internet]. 2019;2019 (16(1) :56-68. Publisher's VersionAbstract

Purpose

The risk control is an unavoidable step in the risk management process. It is materialized by concrete actions of risks reduction in order to decrease their likelihood and/or their severity and also to preserve the environment. The paper aims to discuss this issue.

Design/methodology/approach

The main goal of the proposed methodology is to define the safety barriers (SB) that can be realized and their contribution to reduce major accidents scenarios that may occur in high-risk establishments.

Findings

In the proposed methodology, the authors present a combination of methods to prove the effectiveness of SB in an industrial installation.

Practical implications

The proposed methodology is a valuable help to industrialists to secure their industrial activities and preserve the environment at the same time.

Originality/value

The retained methods are often used separately for audit purposes or risk assessments of high-risk industrial facilities. In this paper, three methods have been selected and articulated in an approach for a better evaluation of risk control level.

HADEF H, DJBABRA M. Proposal method for the classification of industrial accident scenarios based on the improved principal components analysis (improved PCA). Prod. Eng. Res. Devel [Internet]. 2019;2019 (13) :53–60. Publisher's VersionAbstract
Using a risk matrix for Risk mapping constitutes the basis of risk management strategy. It aims to classify the identified risks with regards to their management and control. This risk classification, which is based on the frequency and the severity dimensions, is often carried out according to a procedure founded on experts’ judgments. In order to overcome the subjectivity bias of this classification, this paper presents the contribution of the Principal Components Analysis (PCA) method: an exploratory method for graphing risks based on factors that allow a better visualized classification of scenarios accidents. Still, the commonly encountered problem in the data classified by the PCA method resides in the main factors of classification; we judged useful to frame these letters by an algebraic formulation to make an improvement of this classification possible. The obtained results show that the suggested method is a promising alternative to solve the recurring problems of risk matrices, notably in accident scenarios’ classification.
SMAIAH M, DJBABRA M, BOUBAKER L. Proposal for a new method for analyzing the domino effect in an oil refinery and its impact on the environment. Management of Environmental Quality [Internet]. 2019;2019 (30(5) :910-924. Publisher's VersionAbstract

Purpose

The purpose of this paper is to propose a new managerial method to integrate the environmental dimension in the domino effects (DEs) analysis.

Design/methodology/approach

The proposed method is a three-step approach: identification of primary hazards in the form of potential events causing the DE, a mixed quantification (deterministic and probabilistic) of the risk of the DEs with a view to its control and capitalizing the results from the BLEVESOFT software as well as those relating to the probability of occurrence of the DEs in the form of a prioritized action plan dedicated to surrounding environments (proximity territory).

Findings

The primary hazards are technologically manageable at the studied system but are unpredictable if triggered at the environmental subsystem because they are difficult to be managed and often cause panic, which is a form of a very catastrophic DE.

Research limitations/implications

The research could affect members of the engineering and construction industry, and can be applied in several domains since it studies the DE phenomenon. which is a common problem especially in industrials plants.

Practical implications

The proposal method is applied in an industrial terminal in Algeria.

Originality/value

This paper presents an exploratory study of using a new managerial method that aims to combine the potentialities of geomatic sciences that allow the spatial representation of nearby territories to assess the severity of DEs through a deterministic approach, and the modeling of DEs as well as their analysis by a probabilistic approach.

BOUGHABA A, ABERKANE S, FOURAR Y, DJBABRA M. Study of safety culture in healthcare institutions: case of an Algerian hospital. International Journal of Health Care Quality Assurance [Internet]. 2019;2019 (32(7) :1081-1097. Publisher's VersionAbstract

Purpose

For many years, the concept of safety culture has attracted researchers from all over the world, and more particularly in the area of healthcare services. The purpose of this paper is to measure safety culture dimensions in order to improve and promote healthcare in Algeria.

Design/methodology/approach

The used approach consists of getting a better understanding of healthcare safety culture (HSC) by measuring the perception of healthcare professionals in order to guide promotion actions. For this, the Hospital Survey on Patient Safety Culture questionnaire was used in a pilot hospital setting where it was distributed on a number of 114 health professionals chosen by stratified random sampling.

Findings

The results showed that the identified priority areas for HSC improvement help in establishing a trust culture and a non-punitive environment based on the system and not on the individual.

Originality/value

Safety is recognized as a key aspect of service quality, thus measuring the HSC can help establish an improvement plan. In Algerian health facilities, this study is considered the first to examine perceptions in this particular area. The current results provide a baseline of strengths and opportunities for healthcare safety improvement, allowing the managers of this type of facilities to take steps that are more effective.

SAADI S, DJEBABRA M, ROUDIES O, BOULAGOUAS W. Contribution of the three-dimensional model to the reliability allocation of multiphase systems", , 2019, :. International Journal of Quality & Reliability Management [Internet]. 2019;2019 (36(7) :1038-1052. Publisher's VersionAbstract

Purpose

The purpose of this paper is to deal with the allocation requirements of the dependability of the multiphase systems.

Design/methodology/approach

It consists of a proposal for a combined methodology based on the simultaneous use of decomposition systems and reliability allocation method.

Findings

In the developed methodology, the authors use the principles of risk assessment and propose a new formulation of weight allowance with reference to the structural‒functional dependence.

Practical implications

The suggested methodology provides invaluable help to implementation process analysis.

Originality/value

The adopted allocation approach is based on the use of a three-dimensional model: temporal, structural and functional decomposition of systems.

HADEF H, DJEBABRA M. PCA-I and AHP Methods: Unavoidable Arguments in Accident Scenario Classification. J Fail. Anal. and Preven [Internet]. 2019;2019 (19) :496–503. Publisher's VersionAbstract
Risk mapping is the foundation of the risk prevention strategy. It allows for the understanding of all factors that may affect the activities. It is a collective decision based on negotiation between the actors. Argument-based negotiation accelerates the negotiation process and converges it toward a final and common decision. It is in this context that this paper aims to illustrate the contribution of the improved PCA and AHP tools, considered as arguments, to the classification of major accident risks.
MCHEBILA. Simultaneous evaluation of safety integrity’s performance indicators with a generalized implementation of common cause failures. Process Safety and Environmental Protection [Internet]. 2018;2018 (117(7) :214-222. Publisher's VersionAbstract
The average unavailability and the average unconditional failure intensity of safety-instrumented systems represent the main performance indicators of safety integrity. This paper employs an approach based on the exploitation of the availability expression to obtain both performance measures in a simultaneous and straightforward way for any KooN configuration. The implementation of such an approach is generalized to take into account the contribution of common cause failures using any parametric model. The validation of the obtained results is verified through their application using several architectures and using Beta Factor and Binomial Failure Rate models to handle such type of dependent events. Therefore, the contribution of this paper lies in proposing one single formula that can be used to estimate the two main safety integrity’s performance indicators for any KooN architecture using any kind of common cause failures parametric model.
SELLAMI I, NAIT-SAID R, CHETEHOUNA K, IZARRA C, Zidani F. Quantitative consequence analysis using Sedov-Taylor blast wave model. Part II: Case study in an Algerian gas industry. Process Safety and Environmental Protection [Internet]. 2018;2018 (116(5) :771-779. Publisher's VersionAbstract

In the oil and gas industry, it is common to use gas liquefaction that allows storage and transport of large quantities of LNG and LPG. One of the main disadvantages of this storage mode is the BLEVE risk, which remains a major concern for risk decision-makers. In order to prevent the occurrence of this risk and reduce its impact, risk analysts often use quantitative risk analysis (QRA), which is based on the understanding and quantification of the accidental phenomena and their consequences (overpressure, thermal radiation, toxicity dose). QRA is a rigorous and advanced approach that requires reliable data in order to obtain a good estimate and control of risks. The main objective of this paper (Part II) is to integrate the Sedov-Taylor model developed in Part I into the QRA approach in order to evaluate BLEVE blast effect, and illustrate it with a case study on a pressurized LPG accumulator located in the MPP3-plant of SONATRACH company in the Hassi R'Mel gas field (the largest gas field in Algeria). A parametric analysis of the fuel mass, temperature at failure and rupture pressure is carried out to study their influence on the evolution of BLEVE overpressure. In addition, the evaluation of BLEVE thermal effect is performed in order to better realize an exhaustive QRA. Through this application, the results show the great relevance of the Sedov-Taylor model in the consequence analysis and also in the development of process safety recommendations.

SELLAMI I, MANESCAU B, CHETEHOUNA K, IZARRA C, NAIT-SAID R, Zidani F. BLEVE fireball modeling using Fire Dynamics Simulator (FDS) in an Algerian gas industry. Journal of Loss Prevention in the Process Industries [Internet]. 2018;2018 (54(7) :69-84. Publisher's VersionAbstract

BLEVE is one of major accidents observed in gas industry causing severe damage to people and environment. Its effects are manifested in three ways: shock wave propagation, fireball radiation and fragments projection. To assess these effects, risk decision-makers often use Quantitative Risk Analysis (QRA). In most cases, QRA data are obtained from empirical correlations. However, these correlations are not very satisfactory because they generally overestimate BLEVE effects and do not take into account geometry effects. In order to overcome the limitations of these empirical approaches, CFD modeling appears as a powerful tool able to provide more accurate data to better realize QRA. In this paper, the objective is to develop a CFD methodology in order to predict BLEVE thermal effects. Numerical simulations are carried out using the CFD code FDS. A sensitivity analysis of numerical models is performed in order to choose the right parameters allowing to model the fireball dynamics. The models retained are based on a single-step combustion using EDC model coupled with a LES turbulence model. Predictions show good agreement in comparison with results issued from three large-scale experiments. Furthermore, a case study on a propane accumulator in an Algerian gas processing unit is carried out.