Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) 2014
DOI: 10.1109/etfa.2014.7005261
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Re-use of existing simulation models for DCS engineering via the Functional Mock-up Interface

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Cited by 16 publications
(4 citation statements)
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“…Based on the shortcomings of existing methods for implementing SBDTs, it is clear that although these systems can bring significant benefits to the operation of industrial process plants, their development remains laborious and expensive. Although research on the reuse of existing simulation models could reduce implementation effort and cost [33], development of FPMs remains time-consuming, and thus expensive [10]. Moreover, wider industrial adoption of SBDTs is limited by the lack of integrated approaches for SBDT implementation, which could address complex integration of the process with simulation systems and the various simulation methods required over their lifecycle [26].…”
Section: Proposed Methods 31 Overview Of the Proposed Methodsmentioning
confidence: 99%
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“…Based on the shortcomings of existing methods for implementing SBDTs, it is clear that although these systems can bring significant benefits to the operation of industrial process plants, their development remains laborious and expensive. Although research on the reuse of existing simulation models could reduce implementation effort and cost [33], development of FPMs remains time-consuming, and thus expensive [10]. Moreover, wider industrial adoption of SBDTs is limited by the lack of integrated approaches for SBDT implementation, which could address complex integration of the process with simulation systems and the various simulation methods required over their lifecycle [26].…”
Section: Proposed Methods 31 Overview Of the Proposed Methodsmentioning
confidence: 99%
“…However, since the model development thereof is carried out manually, creating and maintaining industrial FPMs becomes time-consuming and thus expensive [32]- [35]. Reusing existing simulation models created for process engineering could significantly reduce model development effort and cost [33]. However, FPMs development remains laborious [10], making them less attractive than lower fidelity options based on data-driven approaches, which can be developed with less engineering effort [10], [36].…”
Section: Simulation Model Development In the Process Industrymentioning
confidence: 99%
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