Research on Emergency Supply Stockpile Location under Uncertainty Scenarios
Feng Chun
Yu Yu-yang
Abstract：Due to the uncertainty in accident locations and demands for rescue , it is important and mean-ingful to locate an emergency supply stockpile warehouse .With the uncertainty in accident locations and demands for rescue considered , a robust optimization model is presented by setting a series of demanding scenarios.By this model, the distance between the warehouse and an accident location is within a given range .Then , a genetic algorithm is designed to solve the problem .It is compared with the stochastic opti-mization model .Result shows that the proposed method outperforms the stochastic optimization solution method.Moreover, the proposed method can effectively reduce the effect of uncertainty in the site selec-tion.
Keywords：emergency material repositoryrobust optimizationlocation
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 7-11 )