DocumentCode :
511273
Title :
Alumina Production Operations Management Information System Based on Data Mining Technology
Author :
Jingjun, Fan ; Shuting, Yin
Author_Institution :
Coll. of Econ. & Bus. Adm., North China Univ. of Technol., Beijing, China
Volume :
1
fYear :
2009
fDate :
25-27 Dec. 2009
Firstpage :
315
Lastpage :
318
Abstract :
Data mining technology has been applied to the study of alumina production operations management information system. First of all, on basis of process of data mining analysis and comparison of various classification methods, come to classification algorithm in a variety of strengths and weaknesses. And then take production and operations management information of a China alumina enterprise as the research object, the ID3 algorithm is applied to the study of alumina quality prediction model, while the IBLE algorithm is applied to the study of alumina production prediction model. Finally, alumina quality prediction model and alumina production forecast model were applied to the system of decision-support module, at the same time proposing function modules of alumina production operations management system which based on data mining technology.
Keywords :
alumina; aluminium industry; aluminium manufacture; data mining; forecasting theory; management information systems; manufacturing data processing; production management; quality management; China alumina enterprise; IBLE algorithm; ID3 algorithm; alumina production operations management information system; classification algorithm; data mining; decision-support module; production forecast; quality prediction; Algorithm design and analysis; Classification algorithms; Data analysis; Data mining; Information management; Management information systems; Predictive models; Production systems; Quality management; Technology forecasting; Classification2; Data Mining; Management Information System; Production Operations Management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
Conference_Location :
Chongqing
Print_ISBN :
978-0-7695-3930-0
Electronic_ISBN :
978-1-4244-5423-5
Type :
conf
DOI :
10.1109/IFCSTA.2009.82
Filename :
5385070
Link To Document :
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