Applying of Artificial Inteligence to the Scheduling Problem in the ERP System (CROSBI ID 513177)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Lujić, Roberto ; Šimunović, Goran ; Šarić, Tomislav ; Majdandžić, Niko
engleski
Applying of Artificial Inteligence to the Scheduling Problem in the ERP System
The basic enterprise tasks are how to satisfy customer demands, how to fulfil due dates, low prices and undoubted quality. Today most of Croatian enterprises are not able to fulfil those obligations. Usually, enterprises have inappropriate planning, scheduling and launching models. The paper shows structure of Croatian Enterprise Resource Planning System (ERP) that is developed for single and batches production and place of artificial intelligence technologies in development of new generation of EPR system. Through the application of 3-tournament steady-state selection genetic algorithm scheduling process can be improved and plan variants can be achieved according to cost, time or both.
Enterprise Resource Planning; artificial intelligence; genetic algorithm; scheduling
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
149-154.
2005.
objavljeno
Podaci o matičnoj publikaciji
27th International Conference on Information Technology Interfaces (ITI 2005) : proceedings
Dubrovnik:
Podaci o skupu
International Conference on Information Technology Interfaces (27 ; 2005)
predavanje
20.06.2005-23.06.2005
Cavtat, Hrvatska