Pregled bibliografske jedinice broj: 392056
Genetic Algorithm and ERP
Genetic Algorithm and ERP // Digit@l F@ctory / Balič, Jože ; Majdandžić, Niko (ur.).
Beč: DAAAM International Vienna, 2008. str. 243-255
CROSBI ID: 392056 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Genetic Algorithm and ERP
Autori
Lujić, Roberto ; Šarić, Tomislav ; Šimunović, Katica
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Digit@l F@ctory
Urednik/ci
Balič, Jože ; Majdandžić, Niko
Izdavač
DAAAM International Vienna
Grad
Beč
Godina
2008
Raspon stranica
243-255
ISBN
3-901509-67-4
Ključne riječi
scheduling ; genetic algorithm ; Enterprise Resource Planning (ERP)
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
MZOS-152-1521781-2235 - Razvoj ERP sustava za digitalno poduzeće (Šarić, Tomislav, MZOS ) ( CroRIS)
Ustanove:
Strojarski fakultet, Slavonski Brod
