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dc.contributor.authorDașchievici, Luiza
dc.contributor.authorGhelase, Daniela
dc.date.accessioned2017-10-12T10:48:44Z
dc.date.available2017-10-12T10:48:44Z
dc.date.issued2012
dc.identifier.issn1224-5615
dc.identifier.urihttp://10.11.10.50/xmlui/handle/123456789/4428
dc.descriptionThe Annals of ''Dunarea de Jos'' University of Galati : Fascicle XIV : MECHANICAL ENGINEERING, ISSN 1224 - 5615ro_RO
dc.description.abstractIn order to better represent the specified goal of the manufacturing process we propose (as a novelty) as a criterion the Earning Power (EP). It is both synthetic (because it reflects the essential motivation of the manufacturing process) as compliant with the most important five performance aspects, namely: profitability, conformance to specifications, customer satisfaction, return on investment and materials/overhead cost, selected by researchers in order of importance. We present in this paper three modelling techniques for time and cost: analytic, neural network and k-Nearest Neighbor. Using the achieved models, EP is evaluated at the operation level of the manufacturing process.ro_RO
dc.language.isoenro_RO
dc.publisherUniversitatea "Dunărea de Jos" din Galațiro_RO
dc.subjectoperation of manufacturing processro_RO
dc.subjectcontrolro_RO
dc.subjectearning power (EP)ro_RO
dc.titleOperation Earning Power Modelling of the Manufacturing Processro_RO
dc.typeArticlero_RO


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