Please use this identifier to cite or link to this item: https://doi.org/10.1002/aic.12302
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dc.titleA pattern matching method for large-scale multipurpose process scheduling
dc.contributor.authorHe, Y.
dc.contributor.authorHui, C.-W.
dc.date.accessioned2014-12-02T08:59:31Z
dc.date.available2014-12-02T08:59:31Z
dc.date.issued2011-03
dc.identifier.citationHe, Y., Hui, C.-W. (2011-03). A pattern matching method for large-scale multipurpose process scheduling. AIChE Journal 57 (3) : 671-694. ScholarBank@NUS Repository. https://doi.org/10.1002/aic.12302
dc.identifier.issn00011541
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/114727
dc.description.abstractThis article proposes a novel pattern matching method for the large-scale multipurpose process scheduling with variable or constant processing times. For the commonly used mathematical programming models, large-scale scheduling with long-time horizons implies a large number of binary variables and time sequence constraints, which makes the models intractable. Hence, decomposition and cyclic scheduling are often applied to such scheduling. In this work, a long-time horizon of scheduling is divided into two phases. Phase one is duplicated from a pattern schedule constructed according to the principle that crucial units work continuously, in parallel and/or with full load as possible, exclusive of time-consuming optimization. Phase two involves a small-size subproblem that can be optimized easily by a heuristic method. The computational effort of the proposed method does not increase with the problem size. The pattern schedule can be not only used for production/profit maximization but also for makespan estimation and minimization. Copyright © 2010 American Institute of Chemical Engineers (AIChE).
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/aic.12302
dc.sourceScopus
dc.subjectDecomposition
dc.subjectHeuristic
dc.subjectMultipurpose batch plants
dc.subjectPattern matching
dc.subjectScheduling
dc.subjectSearch tree
dc.typeArticle
dc.contributor.departmentSOLAR ENERGY RESEARCH INST OF S'PORE
dc.description.doi10.1002/aic.12302
dc.description.sourcetitleAIChE Journal
dc.description.volume57
dc.description.issue3
dc.description.page671-694
dc.description.codenAICEA
dc.identifier.isiut000287104700011
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