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.
@article{arxiv.1602.01737,
title = {Optimization of a launcher integration process: a Markov decision process approach},
author = {Christophe Nivot and Benoîte de Saporta and François Dufour and Damien Bérard-Bergery and Charles Elegbede},
journal= {arXiv preprint arXiv:1602.01737},
year = {2016}
}