Scheduling and control decision-making under an integrated information environment
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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). The scheduling of two multiproduct batch plants with increasing complexity is presented for illustrating the proposed working procedure.
CitationMuñoz, E. [et al.]. Scheduling and control decision-making under an integrated information environment. "Computers & chemical engineering", 11 Maig 2011, vol. 35, núm. 5, p. 774-786.
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