Resource allocation and uncertainty when modeling infrastructure networks as socio-technical systems Gomez, Camilo; Sánchez-Silva, Mauricio; Dueñas-Osorio, Leonardo
This paper is in the context of risk-informed decision support and modeling infrastructure networks as socio-technical systems. The previously introduced Complex Distributed Agent Network Framework (CoDAN) framework is reviewed and several sources of uncertainty identified, along with possible paths to overcome it in future research. One key problem is addressed, regarding the selection of a decision horizon when engaging in resource allocation for disaster preparedness and its impact on the ratio of installation costs and displacement costs. Three optimization formulations are presented and compared for the resource allocation problem, considering several decision horizons. Results prove the computational efficiency of the proposed formulations and the effect of different decision horizons, which lead to diverse allocation schemes.
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