Neural Network Based Framework for Optimization of Enterprise Resource Planning

Author

Groza, B. ; Iclanzan, T. ; Dumitrescu, C. ; Taroata, A.

Author_Institution

Dept. of Manuf. Eng., Polytech. Univ. of Timisoara

fYear

2006

fDate

38838

Firstpage

1889

Lastpage

1892

Abstract

Enterprise resource planning (ERP) systems are comprehensive information technology packages which aim towards managing and integrating all the business functions within a company. ERP is built on a totally integrated unique data warehouse. Business intelligence may be created based on the information stored in the data warehouse, to enable efficient management and operations monitoring of all areas of the organization. This paper introduces a new approach that employs soft computing (SC) techniques towards automatic optimization of the management decision making process which allows for an efficient strategic management of the company

Keywords

competitive intelligence; data warehouses; decision making; enterprise resource planning; manufacturing resources planning; neural nets; optimisation; software packages; ERP systems; automatic optimization; business intelligence; data warehouse; enterprise resource planning; information technology packages; management decision making process; neural network based framework; soft computing techniques; strategic management; Companies; Data warehouses; Decision making; Enterprise resource planning; Information technology; Monitoring; Neural networks; Packaging; Resource management; Technology management; Enterprise resource planning; neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on

Conference_Location

Ottawa, Ont.

Print_ISBN

1-4244-0038-4

Electronic_ISBN

1-4244-0038-4

Type

conf

DOI

10.1109/CCECE.2006.277422

Filename

4054850