| With the coming of information age, the world becomes smaller and smaller, the information and globalization become two marked characteristics in today’s world. The information of steel industry has been boom ing in China, but com pared with foreign information level, there is a big gap. ERP(Enterprise Resource Planning) as the highest stage of information, not only m akes the enterprise internal information resources and effective integration, but also enhances the competitivenes s of enterprise. ERP is the preferred solution of implem enting information in steel enterprises in our country, but the huge investment and the uncertainty of the ERP system make the development of steel enterprises in China not get the expected result.Now the ef fect of steel enterprise’s ERP implementation is no t a unive rsally applicable evaluation system, leading to that it is unab le to be clearly defined in the terms of benefits. Therefore, this article built steel manufacturing ERP implementation effect evaluation research system, the AHP and BPNN model which is applied in the field of steel manufacturing ERP implementation evaluation effect.The author referred to a lar ge number of references, and carried on the study of ERP implementation effect of steel manufacturing. First of all, from the perspective of the relevant theories of ERP and ERP evaluation m ethod, according to the ERP implementation effect evaluation analysis and combining with the characteristics of the steel industry ERP in China a nd its application condition, T he author constructed steel manufacturing ERP implementation effect evaluation sy stem. Secondly, through the data collected by using analytic hierarchy process(AHP) and BP neural network to evaluate the effect of the steel manufacturing ERP; Finally, after two kinds of evaluation results of contrast, prove that the research of BP neural network in steel manufacturing ERP implementation performance evaluation, the result is more effective and practical. |
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