Friday, 11:00 - 11:25 h, Room: MA 144


Christian Klaus
Increasing network reliability by introducing warehouses

Coauthor: Nedialko Dimitrov


Humanitarian assistance cargo is shipped by filling available space on regularly scheduled transportation routes. Regularly scheduled transportation can be modeled as a network consisting of source, destination, and transshipment nodes, where the edges represent the scheduled transportation routes. The edge capacities are discrete random variables, the space available on a particular mission. An empirical distribution of the capacities can be obtained from historical data.
Because of the stochastic nature of the network, an analysis of the network's reliability in shipping cargo is done by sampling. The analysis shows insufficient ability to deliver the cargo.
In order to increase the reliability of the network to ship cargo, we consider creating warehouses on selected transshipment nodes, where goods can be stored until space for further shipment is available. The introduction of the warehouses can be modeled using a network with multiple time layers.
We address the question of how to select the best warehouse. The problem can be modeled as a two stage stochastic program, where the first stage decision variables select warehouse locations, including storage capacity.


Talk 2 of the invited session Fri.1.MA 144
"Stochastic network design and reliability" [...]
Cluster 22
"Stochastic optimization" [...]


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