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• W2955557645 abstract "This contribution presents the application of a systematic tool for the synthesis of flexible supply networks under uncertain conditions. The proposed methodology consists of four steps during which an inflexible supply network constructed under nominal conditions progressively develops into a flexible network. First-stage variables are determined by a two-scenario mixed integer linear programming (MILP) model in which uncertain parameters deviate through specified ranges from their nominal values. The second-stage variables are determined by one-scenario Monte Carlo stochastic optimization. The approach is demonstrated on an illustrative case study of an agricultural biogas supply network with the objective being to maximize economic, eco- and viability profits. Flexible biogas supply networks with 28 uncertain parameters were achieved with acceptable computational effort. The expected economic and viability profits decreased compared to nominal profits by around 8%, while the eco-profit increased slightly as a result of higher utilization of less burdensome raw materials." @default.
• W2955557645 created "2019-07-12" @default.
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• W2955557645 date "2019-10-01" @default.
• W2955557645 modified "2023-10-16" @default.
• W2955557645 title "Synthesis of flexible supply networks under uncertainty applied to biogas production" @default.
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• W2955557645 doi "https://doi.org/10.1016/j.compchemeng.2019.06.028" @default.
• W2955557645 hasPublicationYear "2019" @default.
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