Integrated System of ERP and MES Based on DHNN Evaluation

Author

Chang Jiantao ; Qiu Yuanying ; Kong Xianguang

Author_Institution

Key Lab. of Electron. Equip. Struct. Design, Xidian Univ., Xi´an, China

fYear

2013

fDate

29-30 June 2013

Firstpage

709

Lastpage

712

Abstract

To overcome the information silos problem in application of multiple manufacturing systems, an integrated system of ERP (Enterprise Resources Planning) and MES (Manufacturing Execution System) based on DHNN (Discrete Hopfield Neural Networks) evaluation is presented. First, the information needed to be integrated is given, key technologies of database integration were studied, and the data warehouse of these two heterogeneous systems was established. Then the integrated system was evaluated by DHNN method. The evaluation result shows that this integration system is better than ERP or MES and it can improve the efficiency of production in manufacturing enterprise.

Keywords

Hopfield neural nets; data warehouses; distributed databases; enterprise resource planning; manufacturing industries; manufacturing systems; production engineering computing; DHNN evaluation; ERP; MES; data warehouse; database integration; discrete Hopfield neural networks; enterprise resources planning; integrated system; manufacturing enterprise; manufacturing execution system; multiple manufacturing systems; production efficiency; Automation; Manufacturing; Discrete Hopfield Neural Networks; Enterprise Resource Planning; Integrated system; Manufacturing Execution System;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on

Conference_Location

Qingdao

Type

conf

DOI

10.1109/ICDMA.2013.168

Filename

6598089