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The complexity of decision-making in process industries and the need of highly competitive organizations require new supporting tools to coordinate and optimize the information flow among decision levels. This work presents a framework for integrating the scheduling and control decision levels by means of an ontology, which allows and coordinates the information exchange among the different modeling
paradigms/conventions currently used for the enterprise-wide optimization (EWO). A
multiproduct batch plant rescheduling case study is presented that illustrates the
proposed working procedure.
CitationCapon, E. [et al.]. Scheduling and control decision-making under an integrated information environment. A: European Symposium on Computer Aided Process Engineering. "20Th European Symposium on Computer Aided Process Engineering". Ischia, Nàpols: 2010, p. 1195-1201.
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