DocumentCode :
2951915
Title :
Study on Methods of Building Data Warehouse for Multi-Mine Group Companies
Author :
Liu, Xinrui ; Ma, Hongbin ; Ren, Fengyu ; Ding, Jian
Author_Institution :
Sch. of Resources & Civil Eng., Northeastern Univ., Shen Yang, China
fYear :
2011
fDate :
30-31 July 2011
Firstpage :
1
Lastpage :
4
Abstract :
In the light of the qualities of grouped companies with multi-mine, we presented a proposal for implementing scientific management referred to as center-distributed data warehouse or hybrid data warehouse that local data warehouse is built for each mine enterprise to satisfy the major production management and decision-making while global one extracts information from them. Applying the objected oriented theory, firstly, we divide basic detail data into six aggregated classes of entities, including engineering information, geological information, mineral resources, other equipment and material information, safety and environment information and financial information management. Then, in the view of difficulties and complexity of building data warehouse, it is significant to create data marts for monitoring department-level transaction data with robust labor-division feature. For avoiding appearance of information silo, distributed data warehouses are primarily built and the subsequent extracted data to construct dependent data marts due to business requirements of various departments. Furthermore, we establish the bridges among these distributed data warehouses to achieve data communication, and finally fulfill the entire plan of data warehouse for multi-mine grouped companies.
Keywords :
data warehouses; decision making; mining industry; object-oriented methods; production engineering computing; production management; center distributed data warehouse; data marts; decision making; department level transaction data; hybrid data warehouse; labor division feature; mine enterprise; multimine group companies; objected oriented theory; production management; scientific management; Companies; Data mining; Data warehouses; Fuel processing industries; Geology; Production; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
Type :
conf
DOI :
10.1109/ICCASE.2011.5997552
Filename :
5997552
Link To Document :
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