MBSA – for the pros training

OBJECTIVES

MBSA for the pros training course will enable you to discover in detail and put into practice model-based safety analyses with CECILA.

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

Degree in engineering / Master of Science with 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’ experience)

REGISTRATION DEADLINES

15 days minimum (INTER) – 2 months minimum (in English/INTRA)

ACCESSIBILITY

Handicap referent: +337.65.50.40.66 / 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

LECTURES (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 hours)

  • Simulation of a complete model with Cecilia Workshop

TUTORIALS (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