DanieleGioia
Research Scientist @ German Aerospace Center (DLR)
German Aerospace Center (DLR)Bonn (DE)
Pinned Repositories
ATO
This library simulates and optimises Two-Stage and Multi-Stage policies for assemble-to-order problems. Specifically, this strategy allows the manufacture of the components under demand uncertainty, while assembling end items only after demand is realised.
PerishableDCM
This library simulates the inventory control problem of perishable products by means of Discrete Choice Methods (DCM)
PerishableMEC
This library addresses the inventory control problem for perishable products in a Multi-Echelon/Channel (MEC) setting.
ScenarioReducer
This library implements several approximate scenario reduction algorithms. Given a probability distribution with finite support, they aim to determine a probability measure with support of reduced and fixed cardinality by selecting the closest to the original one in terms of a selected statistical distance.
DanieleGioia's Repositories
DanieleGioia/PerishableDCM
This library simulates the inventory control problem of perishable products by means of Discrete Choice Methods (DCM)
DanieleGioia/ScenarioReducer
This library implements several approximate scenario reduction algorithms. Given a probability distribution with finite support, they aim to determine a probability measure with support of reduced and fixed cardinality by selecting the closest to the original one in terms of a selected statistical distance.
DanieleGioia/ATO
This library simulates and optimises Two-Stage and Multi-Stage policies for assemble-to-order problems. Specifically, this strategy allows the manufacture of the components under demand uncertainty, while assembling end items only after demand is realised.
DanieleGioia/PerishableMEC
This library addresses the inventory control problem for perishable products in a Multi-Echelon/Channel (MEC) setting.