A model for multi resources location and allocation in logistics for emergency management

Purpose: The aim of this work is the analysis and the formalization of logistic problems under emergency scenarios. In particular, we focus on the design of logistic networks composed by facilities and emergency sites and the optimization of multi resources allocation for emergency operations. Design/Approach/Methodology: The problem has been modelled as a modified Capacitated Facility Location Problem (CFLP) and a Mixed Integer Linear Programming Model has been developed by use of the CPLEX Optimization Studio. Network has been built using geographic information. Sensitivity analysis have been developed to study the effect of resources relocation among facilities. Findings: As a result, the developed model is able to allocate efficiently multiple resources under little/middle size emergency situations. Tests and sensitivity analysis have been performed using instances related to a Geographic Information System of the Italian Sicily region. Originality/Value: The novelty of the approach resides in the consideration of several risk sources and in the multi-resource location-allocation strategy. The approach shows real applicability in the studied test cases. Research Limitations: A limitation of the research is the need to develop sub-optimal approaches for large scale instances. Practical Implications: Practical implications come from the integration of the present work in a national research project aimed to the building of a ICT cloud-based platform for multi-risk management by sensor networks. Social Implications: The aim of this research is to help civil and industrial organization to mitigate the effects of natural or industrial disasters by improving supporting methods for logistics planning.