DocumentCode :
2919100
Title :
Based on MES for implement optimization of production scheduling of Auto electronic parts manufacture
Author :
Zhihui, Huang ; Shulin, Kan
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai
fYear :
2008
fDate :
1-6 June 2008
Firstpage :
3992
Lastpage :
3997
Abstract :
Characteristic of Auto electronic parts production industry are introduced at first. And with the background of the practical demands of Auto electronic parts production industry, with model of Browser/Server (B/S) and program as Microsoft.NET, Visual C++, SQLSever2000 was introduced. Meanwhile, this architecture of Manufacturing Execution System (MES) design theory and database structural charts of the whole system are presented. Information integration and production scheduling optimization function of MES implement information fusion and combination between PCS and ERP, realization the optimization control and management of the Auto electronic parts enterprise production process, which improves enterprisepsilas synthesis competition ability. The two layers integrated automation system production indexes and scheduling as the design core realization optimization of production scheduling indexes. The MES that adopting this method is achieved the integration of management and control. This system has been applied to the Auto electronic parts plant and the production efficiency is increased. The successful implementation of this system has explored a new method for the overall optimization of the large systems in discrete manufacturing enterprise.
Keywords :
C++ language; automobile industry; automotive electronics; electronics industry; optimisation; production control; production engineering computing; scheduling; ERP; MES; Microsoft.NET; PCS; SQLSever2000; Visual C++; auto electronic parts manufacture; automation system production indexes; browser/server model; discrete manufacturing enterprise; information fusion; manufacturing execution system; optimization function; production scheduling; synthesis competition ability; Automatic control; Control system synthesis; Electronics industry; Enterprise resource planning; Industrial electronics; Job shop scheduling; Manufacturing industries; Personal communication networks; Production systems; Visual databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
Type :
conf
DOI :
10.1109/CEC.2008.4631341
Filename :
4631341
Link To Document :
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