Neural network based framework for optimization of enterprise resource planning

被引：0

作者：

Groza, B. ^{[1
]}

Iclanzan, T. ^{[1
]}

Dumitrescu, C. ^{[2
]}

Taroata, A. ^{[2
]}

机构：

[1] Polytech Univ Timisoara, Dept Mfg Engn, Timisoara, Romania

[2] Polytech Univ Timisoara, Dept Management, Timisoara, Romania

来源：

2006 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-5 | 2006年

关键词：

enterprise resource planning; neural networks;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1429 / +

页数：2

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