"RIV/46747885:24210/08:#0000132!RIV09-MSM-24210___" . "Univerzita Tom\u00E1\u0161e Bati ve Zl\u00EDn\u011B" . . . "Pl\u00E1nov\u00E1n\u00ED re\u017Eijn\u00EDch \u010Dinnost\u00ED pomoc\u00ED v\u00EDcerozm\u011Brn\u00FDch statistick\u00FDch metod" . . "Planning of Indirect Labour through Multidimensional Statistical Methods"@en . "RIV/46747885:24210/08:#0000132" . . "2008-01-01+01:00"^^ . "1"^^ . . . "Planning of Indirect Labour through Multidimensional Statistical Methods"@en . "1"^^ . "Mezin\u00E1rodn\u00ED Ba\u0165ova konference pro doktorandy a mlad\u00E9 v\u011Bdeck\u00E9 pracovn\u00EDky" . . . . "Pl\u00E1nov\u00E1n\u00ED re\u017Eijn\u00EDch \u010Dinnost\u00ED pomoc\u00ED v\u00EDcerozm\u011Brn\u00FDch statistick\u00FDch metod" . "[21238A7C9A06]" . "978-80-7318-664-7" . . . "24210" . . "Lep\u0161\u00EDk, Petr" . "4"^^ . "The article is focused on one of the most actual problem of today\u00B4s industrial engineering. This problem lies in difficult planning of indirect labour. We aren\u00B4t able to determine a time requirement of indirect labour, because their nature has a stochastical character. There is desctripted a\u00A0possible aprroach of looking for a solution of this problem in the article. This aprroach consists in a using of multidimensional statistical methods. These methods can help us to find a structure and order in otherwise stochastical indirect labour. In the artickel will be shortly desctipted the chosen methods and more desctipted methods for reduce dimension of exercise, Principal Component Analysis and Factor Analysis."@en . . "Zl\u00EDn" . . "S" . "P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 jedn\u00EDm z\u00A0vysoce aktu\u00E1ln\u00EDch probl\u00E9m\u016F dne\u0161n\u00EDho pr\u016Fmyslov\u00E9ho in\u017Een\u00FDrstv\u00ED, kter\u00FDm je pl\u00E1nov\u00E1n\u00ED nev\u00FDrobn\u00EDch \u010Dinnost\u00ED. V\u00A0sou\u010Dasn\u00E9 dob\u011B zat\u00EDm je\u0161t\u011B nejsme schopni s\u00A0p\u0159edstihem stanovit \u010Dasovou n\u00E1ro\u010Dnost nev\u00FDrobn\u00EDch \u010Dinnost\u00ED, kterou pot\u0159ebujeme zn\u00E1t pro jejich pl\u00E1nov\u00E1n\u00ED. Tento fakt je zap\u0159i\u010Din\u011Bn stochastickou povahou t\u011Bchto \u010Dinnost\u00ED. V p\u0159\u00EDsp\u011Bvku bude uveden mo\u017En\u00FD p\u0159\u00EDstup hled\u00E1n\u00ED \u0159e\u0161en\u00ED tohoto probl\u00E9mu. Ten spo\u010D\u00EDv\u00E1 ve vyu\u017Eit\u00ED v\u00EDcerozm\u011Brn\u00FDch statistick\u00FDch metod, kter\u00E9 by n\u00E1m m\u011Bly pomoci naj\u00EDt jistou strukturu v jinak stochastick\u00FDch servisn\u00EDch \u010Dinnostech. V p\u0159\u00EDsp\u011Bvku budou kr\u00E1tce pops\u00E1ny n\u011Bkter\u00E9 vybran\u00E9 metody, detailn\u011Bji pak budou pops\u00E1ny metody pro sn\u00ED\u017Een\u00ED dimenze \u00FAlohy, tedy metoda hlavn\u00EDch komponent a faktorov\u00E1 anal\u00FDza." . "Zl\u00EDn" . . "P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 jedn\u00EDm z\u00A0vysoce aktu\u00E1ln\u00EDch probl\u00E9m\u016F dne\u0161n\u00EDho pr\u016Fmyslov\u00E9ho in\u017Een\u00FDrstv\u00ED, kter\u00FDm je pl\u00E1nov\u00E1n\u00ED nev\u00FDrobn\u00EDch \u010Dinnost\u00ED. V\u00A0sou\u010Dasn\u00E9 dob\u011B zat\u00EDm je\u0161t\u011B nejsme schopni s\u00A0p\u0159edstihem stanovit \u010Dasovou n\u00E1ro\u010Dnost nev\u00FDrobn\u00EDch \u010Dinnost\u00ED, kterou pot\u0159ebujeme zn\u00E1t pro jejich pl\u00E1nov\u00E1n\u00ED. Tento fakt je zap\u0159i\u010Din\u011Bn stochastickou povahou t\u011Bchto \u010Dinnost\u00ED. V p\u0159\u00EDsp\u011Bvku bude uveden mo\u017En\u00FD p\u0159\u00EDstup hled\u00E1n\u00ED \u0159e\u0161en\u00ED tohoto probl\u00E9mu. Ten spo\u010D\u00EDv\u00E1 ve vyu\u017Eit\u00ED v\u00EDcerozm\u011Brn\u00FDch statistick\u00FDch metod, kter\u00E9 by n\u00E1m m\u011Bly pomoci naj\u00EDt jistou strukturu v jinak stochastick\u00FDch servisn\u00EDch \u010Dinnostech. V p\u0159\u00EDsp\u011Bvku budou kr\u00E1tce pops\u00E1ny n\u011Bkter\u00E9 vybran\u00E9 metody, detailn\u011Bji pak budou pops\u00E1ny metody pro sn\u00ED\u017Een\u00ED dimenze \u00FAlohy, tedy metoda hlavn\u00EDch komponent a faktorov\u00E1 anal\u00FDza."@cs . . "386750" . . "Multidimensional statistical methods, Principal Component Analysis, Factor Analysis, Indirect labour, Lean Service."@en . "Pl\u00E1nov\u00E1n\u00ED re\u017Eijn\u00EDch \u010Dinnost\u00ED pomoc\u00ED v\u00EDcerozm\u011Brn\u00FDch statistick\u00FDch metod"@cs . "Pl\u00E1nov\u00E1n\u00ED re\u017Eijn\u00EDch \u010Dinnost\u00ED pomoc\u00ED v\u00EDcerozm\u011Brn\u00FDch statistick\u00FDch metod"@cs .