Multiperiod, stochastic and dynamic problems in transportation (network design with temporary contract and disruption optimization in picking-packing)

We will present some past and on-going researches addressing “stochastic and/or dynamic problems”, closer to real-life contexts. The challenges reside in generating and evaluating the performances of a sequence of decisions related to either a multiperiod framework (days-months) or an on-going daily plan facing several disruptions. Firstly, a general introduction will be performed on the values of information in a multi-period stochastic and dynamic problem. Then, a network design problem with temporary capacity commitment contracts with projected demands will be described. Finally, a time-dependent vehicle routing problem focusing on picking and 3D packing operations will be described within a context of disruptions. We will mainly focus on the problem descriptions and managerial insights drawn by the results. This talk aims to give some insights in order to face these kinds of real-life problems instead of their mono-period deterministic version leading to disconnected one-time decision.