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dc.contributor.authorRossouw, R.F.en_US
dc.contributor.authorCoetzer, R.L.J.
dc.contributor.authorPretorius, P.D.
dc.date.accessioned2014-08-14T10:04:00Z
dc.date.available2014-08-14T10:04:00Z
dc.date.issued2010en_US
dc.identifier.citationRossouw, R.F. et al. 2010. Simulation experiments for maximising the availability of a commercial octene production facility. Orion: Journal Of The Operations Research Of South Africa, 26(1):53-77. [http://orion.journals.ac.za/pub]en_US
dc.identifier.issn0259-191X (Online)
dc.identifier.issn2224-0004
dc.identifier.urihttp://hdl.handle.net/10394/11103
dc.identifier.urihttp://dx.doi.org/10.5784/26-1-86
dc.description.abstractOverall availability of a chemical process is of critical importance in industry. In this paper we evaluate the process design factors that influence the availability of a new chemical production facility by performing computer experiments on a stochastic simulation model. Experimental designs commonly used in the Design and Analysis of Computer Experiments (DACE) and Classical Design of Experiments (DOE) are evaluated and compared for application by means of simulation experiments. Furthermore, response surface and kriging models are evaluated for the approximation of the input-output relationships. The most accurate experimental design by approximation model combination is used to explore the design space, both in terms of the overall availability and the percentage time offline. We illustrate how the design and analysis of simulation experiments (DASE) are used for minimizing the risks in the design of a new 1-octene production facility in terms of maximising the overall availability and minimizing the percentage time offline simultaneously.
dc.languageEnglish
dc.publisherOperations Research Society of South Africa (ORSSA)
dc.subjectAvailability
dc.subjectdesign and analysis of computer experiments,
dc.subjectkriging
dc.subjectresponse surface modelling
dc.subjectsimulation experiments
dc.titleSimulation experiments for maximising the availability of a commercial octene production facilityen_US
dc.typeArticle
dc.contributor.researchID10062432 - Pretorius, Philippus Daniël


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