Neural network model-based paper machine marginal cost curves

dc.contributor.author	Πατρινός, Παναγιώτης Κ.	el
dc.contributor.author	Σαρίμβεης, Χαράλαμπος Κ.	el
dc.contributor.author	Ρετσινά, Θεοδώρα Ρ.	el
dc.contributor.author	Rutherford, Steven R.	en
dc.contributor.author	Αλεξανδρίδης, Αλέξανδρος Π.	el
dc.date.accessioned	2015-06-04T11:52:10Z
dc.date.issued	2015-06-04
dc.identifier.uri	http://hdl.handle.net/11400/15052
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	energy costs
dc.subject	Marginal cost curves
dc.subject	Computer architecture
dc.subject	Optimization
dc.subject	Productivity
dc.subject	κόστος της ενέργειας
dc.subject	Καμπύλες οριακού κόστους
dc.subject	αρχιτεκτονική υπολογιστών
dc.subject	Βελτιστοποίηση
dc.subject	παραγωγικότητα
dc.title	Neural network model-based paper machine marginal cost curves	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Electrical engineering
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρολογία Μηχανολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/18426-4
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρολογία Μηχανολογία
heal.keywordURI	http://lod.nal.usda.gov/35731
heal.identifier.secondary	ISBN: 1595100954;978-159510095-5
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.publicationDate	2006
heal.bibliographicCitation	Patrinos, P.K., Sarimveis, H.K., Retsina, T.R., Rutherford, S.R., Alexandridis, A.P. (2006) Neural network model-based paper machine marginal cost curves, In: Proceedings of the 2005 TAPPI Engineering, Pulping, Environmental Conference. Philadelphia, PA, United States. 28-31 August, 2005.	en
heal.abstract	In this paper we present a methodology for developing paper machine marginal cost curves, which include variable material and energy costs, fixed costs and overhead costs. The methodology is based on the radial basis function (RBF) neural network architecture and takes into account the complex interactions between the different mill departments. The outcome of the proposed method is the calculation of marginal costs for different paper machine production rates and different grades. The resulting cost curves can be used to take optimal decisions regarding paper machine loadings and optimize production allocation.	en
heal.fullTextAvailability	false
heal.conferenceName	2005 TAPPI Engineering, Pulping, Environmental Conference	en
heal.conferenceItemType	poster