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• W2022977000 abstract "This study deals with the problem of supply chain planning with risk management. A new multi-attribute stochastic programming model is proposed. Demand, supply, transportation, shortage, and capacity expansion costs are considered as uncertain parameters in the supply chain investment decision. To develop a robust model, an additional attribute function is added to the traditional supply chain design problem. This multi-attribute model includes: (i) the minimization of the sum of current investment costs and the expected future processing, transportation, shortage, and capacity expansion costs, and (ii) the minimization of the VaR (Value-at-Risk) of the total future cost risk. Finally, a numerical example is given to illustrate the ability of the proposed model to supply chain planning." @default.
• W2022977000 created "2016-06-24" @default.
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• W2022977000 date "2010-07-22" @default.
• W2022977000 modified "2023-10-18" @default.
• W2022977000 title "A Multi-Attribute Stochastic Programming Approach for Supply Chain Planning with VAR" @default.
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• W2022977000 doi "https://doi.org/10.1061/41127(382)438" @default.
• W2022977000 hasPublicationYear "2010" @default.
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