"experimental plan, Pareto analysis, process stability, ANOVA, optimization"@en . . "978-80-87294-39-0" . "I" . . . "6"^^ . "1"^^ . "RIV/47813059:19520/13:#0002534" . . "Brno" . "Brno" . "Analysis of Robust Technology Design Methods"@en . . . "TO\u0160ENOVSK\u00DD, Filip" . . "TANGER s.r.o." . "2013-01-01+01:00"^^ . "Analysis of Robust Technology Design Methods" . "Analysis of Robust Technology Design Methods" . "In the field of technological process management, it remains of interest to discover methods which enable optimization of process controllable inputs. Optimized inputs are the ones through which a process yields its best outputs. In recent years a so-called noise has also been taken into account in process regulation. The noise represents factors that cannot be set up during the process regulation, but may exert a great influence upon the process outputs. Such factors include, in particular, change of environment and human factor (technological indiscipline, for instance). Although there are already many methods available for these purposes, their use remains very limited. For practical reasons, it may therefore be useful to make an overview of such methods, and compare them, potentially recommending which of them should be used. And such is the aim of this paper. The authors of the article also include a description of the general theory in the form of practical algorithms, to facilitate the use of the discussed methods." . . . "Analysis of Robust Technology Design Methods"@en . "[53BDEFA76C20]" . . . "RIV/47813059:19520/13:#0002534!RIV14-MSM-19520___" . "19520" . "Sborn\u00EDk 22.ro\u010Dn\u00EDku mezin\u00E1rodn\u00ED konference metalurgie a materi\u00E1l\u016F Metal 2013" . "TO\u0160ENOVSK\u00DD, Josef" . . "60627" . . . "Kud\u011Blka, Ond\u0159ej" . . . . "In the field of technological process management, it remains of interest to discover methods which enable optimization of process controllable inputs. Optimized inputs are the ones through which a process yields its best outputs. In recent years a so-called noise has also been taken into account in process regulation. The noise represents factors that cannot be set up during the process regulation, but may exert a great influence upon the process outputs. Such factors include, in particular, change of environment and human factor (technological indiscipline, for instance). Although there are already many methods available for these purposes, their use remains very limited. For practical reasons, it may therefore be useful to make an overview of such methods, and compare them, potentially recommending which of them should be used. And such is the aim of this paper. The authors of the article also include a description of the general theory in the form of practical algorithms, to facilitate the use of the discussed methods."@en . . "3"^^ .