A multi-objective robust optimization model for logistics planning in the earthquake response phase

Usually, resources are short in supply when earthquakes occur. In such emergency situations, disaster relief organizations must use these scarce resources efficiently to achieve the best possible emergency relief. This paper therefore proposes a multi-objective, multi-mode, multi-commodity, and multi-period stochastic model to manage the logistics of both commodities and injured people in the earthquake response. Also, a robust approach is developed and used to make sure that the distribution plan performs well under the various situations that can follow an earthquake. Afterwards, it proposes a solution methodology according to hierarchical objective functions and uses it to illustrate the customized robust modeling approach.

► We develop a robust approach for stochastic model with uncertain right-hand sides. ► The model aims to optimize emergency relief conditions with uncertainties involved. ► Some changes of response conditions cause infeasibility and need re-optimization. ► The plans do not use the maximum anticipated capacities of the network entities.