Gani, Rafiqul

Quaglia, Alberto

Sarup, Bent

Sin, Gürkan

Online Research Database In Technology

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Synthesis and Design of Processing Networks: Stochastic Formulation and Solution

In this contribution, we propose an integrated business and engineering framework for synthesis and design of processing networks under uncertainty. In our framework, an adapted formulation of the transhipment problem is integrated with a superstructure, leading to a Stochastic Mixed Integer Non Linear Program (sMINLP), which is solvedto determine simultaneously the optimal strategic and tactical decisions with respect to the processing network, the material flows, raw material and product portfolio. The framework allows time-effective and robust formulation, solution and analysis of largescale synthesis problems in presence of uncertainty parameters, contributing to broaden the range of application of stochastic programming and optimization to real industrial problems. The framework is applied to an industrial case study based on soybean processing, to identify the optimal processing network under market and technical uncertainty

Synthesis and Design of Processing Networks:Stochastic Formulation and Solution

http://orbit.dtu.dk/ws/files/9991197/AQ_Escape22_poster.pdf

Synthesis and Design of Processing Networks: Stochastic Formulation and Solution

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Online Research Database In Technology

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