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

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dc.contributor.authorZulkafli, Nur I.
dc.contributor.authorKopanos, Georgios M.
dc.date.accessioned2018-10-29T16:18:20Z
dc.date.available2018-10-29T16:18:20Z
dc.date.issued2018-09-21
dc.description.abstractThis 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.identifier.citationNur 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. 224-247en_UK
dc.identifier.issn0263-8762
dc.identifier.urihttps://doi.org/10.1016/j.cherd.2018.09.024
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13590
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectProduction planningen_UK
dc.subjectCleaningen_UK
dc.subjectUtility systemen_UK
dc.subjectStochastic programmingen_UK
dc.subjectRolling horizonen_UK
dc.subjectOptimizationen_UK
dc.titleA rolling horizon stochastic programming approach for the integrated planning of production and utility systemsen_UK
dc.typeArticleen_UK

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