ABSTRACT
Astrium Space Transportation as prime contractor is in charge of launchers and ground facilities design. Among those activities we find operability and cost reduction requirements levels increase. System cost optimization based on an appropriate modelling and decision tool is fundamental to meet these drastic requirements. One of the principal objectives of this work is to develop practical simulation approaches to assess and optimize system performance like production capacity, availability, spare part sizing and cost. Petri nets are used to model a simplified launcher integration process and show its ability to take into account realistic constraints described by a workflow process and failure of facilities used to perform the workflow. As the model is built with the tool GRIF-MOCA V12 which includes Monte Carlo simulation engine, simulations are performed to assess the performance metrics of the integration process. The performances addressed are the number of launch and the probability associated, the sizing of the production rates of the subassemblies, the costs related to the repairs operations for a launch. With the same model, one can also size the design of repair policy or allocate failure rates to the workshop.
