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Nassim ALILECHE

Rueil Malmaison

En résumé

Industrial Safety and Security Management.
Nassim Alileche’s skills include, risk assessment of major accidents, safety, occupational and technological risk assessment, dependability and maintenance. Nassim Alileche managed technical and research projects in technological risk analysis, study of accidents propagation in industrial parks caused by loss of containment, mainly starting from process industries, developed a model and a software to support Domino Effect risk assessment and control.

Mes compétences :
R&D
Simulation numérique
Gestion de projet
Prévention des risques
Évaluation des risques
Sécurité des procédés
Arbre des causes

Entreprises

  • Groupe Psa - Global Safety Process Referent

    Rueil Malmaison 2019 - maintenant

  • APSYS AIRBUS - Consultant

    ELANCOURT 2016 - maintenant Developing new models for risk assessment of industrial accidents.
    Developing decision support tools for safety investissement and maintenance optimization.
    Participation to the development of a GIS software tool for risk assessment.
    Conducting safety studies for safety reports and other regulatory requirements.

  • Insa de Rouen (France) - Università di Bologna (Italy) - Research Engineer - PhD Student

    2012 - 2015 The aim of my research work was the improvement of domino effect hazards prevention, through the development of a methodology for the identification and the analysis of domino effects.

    I developed a method for the analysis of domino accident chain caused by loss of containments. It allows the identification and prioritization of accident propagation paths. The method is user-friendly and helps decision making regarding the prevention of cascading events. The final outcomes of the model are given in form of quantitative rankings of equipment involved in domino scenarios, taking into account the effect of meteorological conditions and safety barriers.
    The rankings give a clear idea of equipment hazard for initiating or continuing cascading events.

    The methodology is based on a topography of the industrial area of concern, including the characteristics of each unit and accounting for protection and mitigation barriers. It is based on two main stages. The first is the identification of accident propagation paths. This stage was implemented using the MATLAB® software and Visual Basic for Applications (VBA) to enable an easy input procedure and output analysis in Microsoft Excel®.
    The second stage is the identification of the most dangerous equipment. It consists in prioritizing equipment involved in the propagation paths according to their likelihood to cause/propagate domino effect. The algorithm that performs this phase was coded in VBA.

    The method was designed so as it can be used without the need to rely on the results of safety reports. However, if such results are available, it is possible to lighten some steps of the method. It revealed easy to apply, this was confirmed through projects and student internships.

  • Marchetto recyclage - Internship (environment, health and safety)

    2012 - 2012 Assessment of the risks for health and safety in the workplace and the scheduling of risk prevention actions.

  • Laboratoire de mécanique de Lille - Internship (modeling of the deformation, damage and fatigue)

    2011 - 2011 Modeling the behavior of the Bree tube subjected to thermomechanical cyclic loading

  • Air Algérie - Stagiaire, Ingénieur maintenance

    2010 - 2010 Étude du comportement dynamique du rotor de la turbine HP du turboréacteur JT8D-15 :
    Modélisation dynamique du rotor par éléments finis (Rotorinsa) ;
    Détermination des modes propres de vibration.

  • Entreprise Nationale des Peintures - Stagiaire, ingénieur maintenance

    2009 - 2009 Étude de fiabilité d’une chaîne de production de peinture :
    Élaboration d'une analyse des modes de défaillances, de leurs effets et de leur criticité (AMDEC)
    Optimisation de la maintenance.

  • Sonatrach - Stagiaire, Ingénieur maintenance

    2008 - 2008 Planification des opérations de maintenance préventive.

Formations

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