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izvor podataka: crosbi

Genetic Algorithm and ERP (CROSBI ID 38055)

Prilog u knjizi | izvorni znanstveni rad

Lujić, Roberto ; Šarić, Tomislav ; Šimunović, Katica Genetic Algorithm and ERP // Digit@l F@ctory / Balič, Jože ; Majdandžić, Niko (ur.). Beč: DAAAM International Vienna, 2008. str. 243-255

Podaci o odgovornosti

Lujić, Roberto ; Šarić, Tomislav ; Šimunović, Katica

engleski

Genetic Algorithm and ERP

Today are well known basic enterprise tasks, those are: how to satisfy customer demands, how to fulfil due dates, low prices and undoubted quality. The most of Croatian enterprises are not able to fulfil obligations according to customer demands in a way of due dates and that is fact that is based on engineers experiences. So, it can be concluded that the weakness link in Croatian ERP system is inappropriate scheduling model. Usually, scheduling model has not possibility to make plan variants (according to cost, time or both). The article has intention to show how applying of 3- tournament steady-state selection genetic algorithm can improve scheduling process through comparison of different plan variants according to set parameters.

scheduling ; genetic algorithm ; Enterprise Resource Planning (ERP)

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Podaci o prilogu

243-255.

objavljeno

Podaci o knjizi

Digit@l F@ctory

Balič, Jože ; Majdandžić, Niko

Beč: DAAAM International Vienna

2008.

3-901509-67-4

Povezanost rada

Strojarstvo