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- W2361609488 abstract "Due to the limited carrying capacity of emergency logistics system and uncertain demand in preliminary stage of emergency rescue,this paper utilized relative robust optimization to establish a multi-objective mathematical model based on optimal time and cost.The results show that the mathematical model gives the solution to the reasonable location-routing scheme of emergency supplies under demand uncertainty.By an example,the relative robust optimization is compared with the absolute robust optimization,and multi-objective model is compared with single-objective model.The multi-objective mathematical mode is able to achieve the trade-off between optimality and robustness of location-routing scheme of emergency supplies under demand uncertainty,and it is effective in guaranteeing the robustness of emergency logistics decision in emergency." @default.
- W2361609488 created "2016-06-24" @default.
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- W2361609488 date "2013-01-01" @default.
- W2361609488 modified "2023-09-24" @default.
- W2361609488 title "Multi-objective robust optimization model of emergency logistics system under demand uncertainty" @default.
- W2361609488 hasPublicationYear "2013" @default.
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