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GRIF – Petri module training

OBJECTIVES

Discover, explore and master the features of the PETRI module of the GRIF** software

TARGET POPULATION

RAMS engineer assessing the availability/reliability/maintainability of a dynamic system

PREREQUISITE

Degree in engineering / Master of Science with experience in conducting availability studies

TEACHING METHODS

Lectures, application examples, tutorials, practical work

EVALUATION METHODS

MCQs at the beginning and end of the course

TRAINER

RAMS expert (20 years’ experience)

REGISTRATION DEADLINES

Minimum: 1 month (VISIO) – 1.5 months (INTER) – 2 months (INTRA)

ACCESSIBILITY

Handicap referent: +337.65.50.40.66 / contact@satodev.fr

REFERENCE: G3.1
DURATION: 4 day(s)
PLACE: Bordeaux
Sessions :
: 9 March 2026
: 19 October 2026

CUSTOMIZED: contact@satodev.fr

Display prices

TRAINING CONTENT

OBJECTIVES

At the end of the training, you will be able to:

  • Understand the theory of Stochastic Predicate Petri Nets
  • Master best practices for modelling in PNs
  • Master transition configuration
  • Use the Petri graphical interface effectively
  • Configure calculations and analyse results
  • Practise modelling to answer questions about a system

PRESENTATIONS AND DEMONSTRATIONS (12.5 hours)

  • Introduction to stochastic Petri nets
  • Getting started with the GUI and using data tables
  • Configuring transitions
  • Presenting a model effectively
  • Configuring calculations and analysing results
  • Working methodology to ensure high-quality models

SUPERVISED WORK (6 hours)

  • Exercises to familiarise yourself with the Petri module interface.
  • Creating models requiring the use of advanced transition options.
  • Performing calculations to assess system reliability and optimise stocks.

PRACTICAL WORK (9.5 hours)

  • Creating typical Petri nets
    • Operate/fail/repair component and 1oo2 system
    • Resource sharing
    • Periodic testing
    • Failure under load
  • Calculating and analysing results
    • Creating observers and configuring calculations
    • Analysing results
  • Availability of a production system with SLI and cost management