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OPTIMIZATION OF CHASSIS DESIGN FOR ASSEMBLY LINE FEEDER USING PROMETHEE AND TAGUCHI METHODS (CROSBI ID 649246)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Gjeldum, Nikola ; Bilić, Boženko ; Tomić, Zvonimir OPTIMIZATION OF CHASSIS DESIGN FOR ASSEMBLY LINE FEEDER USING PROMETHEE AND TAGUCHI METHODS // 16th International Scientific Conference on Production Engineering / Abele, Eberhard ; Udiljak, Toma ; Ciglar, Damir (ur.). Zagreb: Hrvatska udruga proizvodnog strojarstva (HUPS), 2017. str. 93-98

Podaci o odgovornosti

Gjeldum, Nikola ; Bilić, Boženko ; Tomić, Zvonimir

engleski

OPTIMIZATION OF CHASSIS DESIGN FOR ASSEMBLY LINE FEEDER USING PROMETHEE AND TAGUCHI METHODS

The Learning Factory concept presents simulation of a real factory environment through specialized equipment. Mission is to integrate needed knowledge into the engineering curriculum by using of didactic games and production lines which presents simplified real processes from industry. In this paper, design optimization of low cost and low quality equipment for Learning Factory is presented. Using guidelines for Design for Manufacturing and Assembly (DFMA), four different designs of chassis for assembly line feeder are evaluated using PROMETHEE method. For steel chassis, total weight and costs of parts for given load has to be minimized in order to minimize total costs. On the other hand easiness of machining and assembly is also taken in consideration. Subsequent consideration used redesigns of selected design according Taguchi design of experiments. According Finite Element Analysis (FEM) results for estimated loads, the lightest chassis is selected in compromise to minimization of maximal deformation.

learning factory, assembly line, design optimization, taguchi method, promethee

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Podaci o prilogu

93-98.

2017.

objavljeno

Podaci o matičnoj publikaciji

16th International Scientific Conference on Production Engineering

Abele, Eberhard ; Udiljak, Toma ; Ciglar, Damir

Zagreb: Hrvatska udruga proizvodnog strojarstva (HUPS)

Podaci o skupu

CIM 2017

predavanje

08.06.2017-10.06.2017

Zadar, Hrvatska

Povezanost rada

nije evidentirano