danielegioia Goto Github PK
Name: Daniele Gioia
Type: User
Company: German Aerospace Center (DLR)
Bio: Decision Scientist @ German Aerospace Center (DLR)
Location: Bonn (DE)
Name: Daniele Gioia
Type: User
Company: German Aerospace Center (DLR)
Bio: Decision Scientist @ German Aerospace Center (DLR)
Location: Bonn (DE)
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.
This library simulates the inventory control problem of perishable products by means of Discrete Choice Methods (DCM)
This library addresses the inventory control problem for perishable products in a Multi-Echelon/Channel (MEC) setting.
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.
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