  This paper is dedicated to the numerical study of the optimization of an
industrial launcher integration process. It is an original case of
inventory-production system where a calendar plays a crucial role. The process
is modeled using the Markov Decision Processes (MDPs) framework. Classical
optimization procedures for MDPs cannot be used because of specificities of the
transition law and cost function. Two simulation-based algorithms are tuned to
fit this special case. We obtain a non trivial optimal policy that can be
applied in practice and significantly outperforms reference policies.
