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dc.contributor.authorMach, Pavel
dc.contributor.authorBarto, Seba
dc.date.accessioned2012-08-06T10:19:52Z
dc.date.available2012-08-06T10:19:52Z
dc.date.issued2010-09
dc.identifier.citationMach, P. - Barto, S. Comparison of Different Approaches to Manufacturing Process Optimization. In: SIITME 2010 Abstract Proceedings. Pitesti: University of Pitesti, 2010, p. 204-205. ISBN 978-1-4244-8124-8.cze
dc.identifier.urihttp://hdl.handle.net/10467/12425
dc.description.abstractThere are many process variables, which more or less influence quality of a manufacturing process, and there are many parameters of a product, which constitute its quality. The control of variables of a manufacturing process for achievement of requested quality of a final product is a multi-parametric task. It is paid great effort to find such the way, which might lead to the most rapid solution. The use of full factorial experiments, fractional factorial experiments and Taguchi approach were compared from the point of view of number of experiments requested. It was found that the Taguchi orthogonal arrays are the most efficient method for higher number of process factors and that the full factorial experiments request the highest number of experiments from all methods under test.eng
dc.language.isocescze
dc.publisherIEEEcze
dc.rights© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.eng
dc.subjectfull factorial experimentseng
dc.subjectfractional factorial experimentseng
dc.subjectTaguchi orthogonal arrayseng
dc.titleComparison of Different Approaches of Manufacturing Process Optimizationcze
dc.typepříspěvek z konference - elektronickýcze
dc.identifier.doi10.1109/SIITME.2010.5650819


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