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Operation Earning Power Modelling of the Manufacturing Process
dc.contributor.author | Dașchievici, Luiza | |
dc.contributor.author | Ghelase, Daniela | |
dc.date.accessioned | 2017-10-12T10:48:44Z | |
dc.date.available | 2017-10-12T10:48:44Z | |
dc.date.issued | 2012 | |
dc.identifier.issn | 1224-5615 | |
dc.identifier.uri | http://10.11.10.50/xmlui/handle/123456789/4428 | |
dc.description | The Annals of ''Dunarea de Jos'' University of Galati : Fascicle XIV : MECHANICAL ENGINEERING, ISSN 1224 - 5615 | ro_RO |
dc.description.abstract | In 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.iso | en | ro_RO |
dc.publisher | Universitatea "Dunărea de Jos" din Galați | ro_RO |
dc.subject | operation of manufacturing process | ro_RO |
dc.subject | control | ro_RO |
dc.subject | earning power (EP) | ro_RO |
dc.title | Operation Earning Power Modelling of the Manufacturing Process | ro_RO |
dc.type | Article | ro_RO |
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2012 fascicula14 nr1 [20]