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- W2750229969 abstract "In this paper we consider multistage stochastic programs with endogenous parameters where investment strategies are considered to reduce uncertainty, and time-varying distributions are used to describe uncertainty. We present the proposed ideas in the context of the planning of process networks with uncertain yields. We propose a new mixed-integer/disjunctive programming mdoel which is reformulated as a mixed-integer linear program. The model can be solved, through an LP-based branch and bound for smaller instances or with a duality-based branch and bound for larger problems." @default.
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- W2750229969 date "2006-01-01" @default.
- W2750229969 modified "2023-10-17" @default.
- W2750229969 title "A multistage stochastic programming approach with strategies for uncertainty reduction in the synthesis of process networks with uncertain yields" @default.
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- W2750229969 doi "https://doi.org/10.1016/s1570-7946(06)80331-7" @default.
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