A rolling horizon stochastic programming approach for the integrated planning of production and utility systems

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dc.contributor.author Zulkafli, Nur I.
dc.contributor.author Kopanos, Georgios M.
dc.date.accessioned 2018-10-29T16:18:20Z
dc.date.available 2018-10-29T16:18:20Z
dc.date.issued 2018-09-21
dc.identifier.citation Nur I. Zulkafli and Georgios M. Kopanos. (2018) A rolling horizon stochastic programming approach for the integrated planning of production and utility systems. Chemical Engineering Research and Design, Volume 139, November 2018, pp. 224-247 en_UK
dc.identifier.issn 0263-8762
dc.identifier.uri https://doi.org/10.1016/j.cherd.2018.09.024
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/13590
dc.description.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 modeling representation is introduced; resulting in a hybrid reactive-proactive planning approach. In the stochastic programming model, all the binary variables related to the operational status (i.e., startup, operating, shutdown, under online or offline cleaning) of the production and utility units are considered as first-stage variables (i.e., scenario independent), and most of the remaining continuous variables are second-stage variables (i.e., scenario dependent). In addition, enhanced unit performance degradation and recovery models due to the cumulative operating level deviation and cumulative operating times are presented. Terminal constraints for minimum inventory levels for utilities and products as well as maximum unit performance degradation levels are also introduced. Two case studies are presented to highlight the applicability and the particular features of the proposed approach as an effective means of dealing with the sophisticated integrated planning problem considered in highly dynamic environments. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Production planning en_UK
dc.subject Cleaning en_UK
dc.subject Utility system en_UK
dc.subject Stochastic programming en_UK
dc.subject Rolling horizon en_UK
dc.subject Optimization en_UK
dc.title A rolling horizon stochastic programming approach for the integrated planning of production and utility systems en_UK
dc.type Article en_UK


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