MAS 2013 Proceeding

A preliminary supply chain model to housing recovery after the occurrence of a natural disaster

Authors:   Rafael Diaz, Joshua Behr, Sameer Kumar, Ange Lionel Toba, Francesco Longo, Letizia Nicoletti


Severe storm events adversely affect housing stock and regional capacity to produce them. Rebuilding this capacity takes time while the affected region faces an unexpected surge in the demand for housing. This research presents a simulation model that considers this problem from the supply chain and production perspective. It allows characterizing capital fluctuations over time and determining bottlenecks to recovery. The model enables an understanding of the dynamics of supply and demand as it pertains to producing housing solutions as part of the recovery process. The ability to anticipate the composition of the demand as well as understanding capital fluctuations is critical to a fast recovery process.

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