The Research And Application On The Statistics And Analysis Of The Teams In The Aluminum Electrolysis Production

Teams are the basic organization at the proceeding of the aluminum electrolysis production. There are mass of data accumulated in the production of the aluminum electrolysis which is heavily related with the performance of the teams. The manager need to statistically analyze those mass of data to evaluate the performance of the teams and to compare the main index of the aluminum electrolysis production between several teams and to find the problem hidden in the production, then to directly solve those problems. From the above the research and application on the performance of the teams and groups of the aluminum electrolysis is very essential and required.This article mainly introduces the research on the application of the multidimensional analysis and data mining technology in the aluminum electrolysis field. In this paper, content and innovation are as follows:1,First this paper make summary of the application of multi-dimensional analysis and data mining technology. At the following chapter this article described the Apriori algorithm in detail. From previous research this paper will adopt the combination of the OLAP and data mining to statistical analysis the performance of the teams.2,According to the actual organization of the production and the analyze on the relationship between a variety of the production data. Based on the above work, the application can dynamically generate the report about the data of production by day or by month.3,This application design and construct one module which is lightweight data warehouse. This module can render several functions which can analyze the relationship between the team,class and the data from different views.4,At last this paper talk sabout the association rule algorithm to digger the useful knowledge about the relationship between the teams and the data of production .The design and the application of the system has met the demand of the actual production. The user can analyze the relationship between the teams and class in the production by various of method to discovery the valuable information and the knowledge which could be extracted from the massive data and can be used to instruct the management in aluminum electrolysis industry.