hrcak mascot   Srce   HID

Pregledni rad

Design of Experiments in Industry

Marko Ukrainczyk

Puni tekst: hrvatski, pdf (384 KB) str. 96-105 preuzimanja: 1.483* citiraj
APA 6th Edition
Ukrainczyk, M. (2010). Planiranje pokusa u industriji. Hrvatski časopis za prehrambenu tehnologiju, biotehnologiju i nutricionizam, 5 (3-4), 96-105. Preuzeto s https://hrcak.srce.hr/63984
MLA 8th Edition
Ukrainczyk, Marko. "Planiranje pokusa u industriji." Hrvatski časopis za prehrambenu tehnologiju, biotehnologiju i nutricionizam, vol. 5, br. 3-4, 2010, str. 96-105. https://hrcak.srce.hr/63984. Citirano 30.11.2021.
Chicago 17th Edition
Ukrainczyk, Marko. "Planiranje pokusa u industriji." Hrvatski časopis za prehrambenu tehnologiju, biotehnologiju i nutricionizam 5, br. 3-4 (2010): 96-105. https://hrcak.srce.hr/63984
Harvard
Ukrainczyk, M. (2010). 'Planiranje pokusa u industriji', Hrvatski časopis za prehrambenu tehnologiju, biotehnologiju i nutricionizam, 5(3-4), str. 96-105. Preuzeto s: https://hrcak.srce.hr/63984 (Datum pristupa: 30.11.2021.)
Vancouver
Ukrainczyk M. Planiranje pokusa u industriji. Hrvatski časopis za prehrambenu tehnologiju, biotehnologiju i nutricionizam [Internet]. 2010 [pristupljeno 30.11.2021.];5(3-4):96-105. Dostupno na: https://hrcak.srce.hr/63984
IEEE
M. Ukrainczyk, "Planiranje pokusa u industriji", Hrvatski časopis za prehrambenu tehnologiju, biotehnologiju i nutricionizam, vol.5, br. 3-4, str. 96-105, 2010. [Online]. Dostupno na: https://hrcak.srce.hr/63984. [Citirano: 30.11.2021.]

Sažetak
The experimental design techniques useful for industrial applications are reviewed. The full and fractional factorial designs and also response surface methodology with associated designs for describing the nonlinear responses, as well as computer-aided designs, are briefly
described. Taguchi method, suitable for use in production and quality engineering, is also described. The use of analysis of variance, basic
statistical methods for determining the significant factors, as well as use of multiple linear regression for correlation analysis, process modeling
and optimization, are described and discussed.

Ključne riječi
design of experiments; fractional factorial design; Box-Wilson design; Box-Behnken design; Taguchi method; analysis of variance; multiple linear regression

Hrčak ID: 63984

URI
https://hrcak.srce.hr/63984

[hrvatski]

Posjeta: 2.346 *