Napredna pretraga

Pregled bibliografske jedinice broj: 176092

Scheduling - the weakness link can be improved through applying of genetic algorithm


Lujić, Roberto; Šarić, Tomislav; Šimunović, Goran; Matičević, Gordana
Scheduling - the weakness link can be improved through applying of genetic algorithm // 3rd International Conference on Advanced Technologies for Developing Countries, Proceedings / Katalinić, Branko ; Veža, Ivica ; Bilić, Boženko (ur.).
Split: DAAAM International, Vienna, University of Split, Faculty of Electric Engineering , Mechanical Engineering and Naval Arhitecture, Split, 2004. str. 393-399 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Scheduling - the weakness link can be improved through applying of genetic algorithm

Autori
Lujić, Roberto ; Šarić, Tomislav ; Šimunović, Goran ; Matičević, Gordana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
3rd International Conference on Advanced Technologies for Developing Countries, Proceedings / Katalinić, Branko ; Veža, Ivica ; Bilić, Boženko - Split : DAAAM International, Vienna, University of Split, Faculty of Electric Engineering , Mechanical Engineering and Naval Arhitecture, Split, 2004, 393-399

Skup
3rd International Conference on Advanced Technologies for Developing Countries

Mjesto i datum
Split, Hrvatska, 23-26.06.2004.

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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


Projekt / tema
0152014

Ustanove
Strojarski fakultet, Slavonski Brod