2018
DOI: 10.1016/j.cherd.2018.09.024
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A rolling horizon stochastic programming approach for the integrated planning of production and utility systems

Abstract: This study focuses on the operational and resource-constrained condition-based cleaning planning problem of integrated production and utility systems under uncertainty. For the problem under consideration, a two-stage scenario-based stochastic programming model that follows a rolling horizon modelling representation is introduced; resulting in a hybrid reactiveproactive planning approach. In the stochastic programming model, all the binary variables related to the operational status (i.e., startup, operating, … Show more

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Cited by 4 publications
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