MBSA – for the pros

OBJECTIVES

The MBSA for Professionals training course will enable you to discover in detail and put into practice model-based security analyses in Cecilia.

TARGET POPULATION

Any system architect / design engineer / safety engineer having to design, develop or certify a system with an innovative model-based safety approach

PREREQUISITE

Engineer / 4 years of scientific studies, mastery of safety principles

TEACHING METHODS

Lectures, application examples, tutorials, practical work

EVALUATION METHODS

MCQs at the end of the course

TRAINER

Safety expert (20 years of experience)

REGISTRATION DEADLINES

15 days minimum (INTER) – 2 months minimum (INTRA)

ACCESSIBILITY

Handicap referral: 07.65.50.40.66 / contact@satodev.fr

REFERENCE: M3
DURATION: 4,5 day(s)
PLACE: Toulouse / Bordeaux
Sessions :
Bordeaux : 14 April 2025
Toulouse : 24 November 2025

CUSTOMIZED: contact@satodev.fr

TRAINING CONTENT

EXHIBITS (5.5 hours)

  • Regulatory frame
    • Aeronautics regulations
    • ARP 4761A safety process
    • MBSA example of application in the safety process
  • Methodological guide
    • Why model
    • When to model
    • How to model
  • Detailed study of a model
    • Modeling principles
    • Simulation and validation of the model
    • Results: limitations and benefits

DEMONSTRATIONS (1.5 hour)

  • Simulation of a complete model with Cecilia Workshop

GUIDED WORKS (8.5 hours)

  • Creating and using a simple model with Cecilia Workshop
    • Cutting calculations and probabilities
  • Dynamic model study with Cecilia Workshop
    • Sequence calculations, use of batches
  • Building a component library with Cecilia Workshop

EXAMPLES OF APPLICATION (2 hours)

  • Illustrated added value
    • Multi-domain (aeronautics, drone, missile, test facilities, air traffic control…)
    • Multi-analysis (qualitative, quantitative, common causes…)

PRACTICAL WORK (14 hours)

  • Implementation on a real case study
    • Definition of the study, specification of the model
    • Realization and validation of the model
    • Analysis of the results