The Research Of Data Mining Based On BOM Of Dispersed Manufacture

The mechanical manufacture is a typical dispersed manufacture. The product structure of the dispersed manufacturing company can be described with the concept of the tree, The products must consist of part or part of the regular number finally, these relations are very clear and regular. ERP realizes the tool with effective informationization of enterprise. Bill of Material (BOM) is the technical description file of the product structure, is the main carrier of the information transmission in ERP system, The technological file that it manages is the key data of the enterprise. Through Data Mining of BOM, can manage and utilize various kinds of historical data that the enterprise has accumulated down for many years effectively, Statistical information, etc..This thesis combines the Data Mining theory achievement and Yunnan Province CIMS demonstration project studied -- Kunming Yunnei power Ltd. Co. ERP the investigation of project include, Data Mining technology make preliminary discussion by application in manufacture. Engineering BOM (EBOM), Process planning BOM( PP-BOM), Manufacturing BOM(MBOM), Cost BOM( CBOM), Quality BOM(QBOM), Buying BOM(BBOM), Sale BOM(SBOM) with maintaining BOM integrate, Set up BOM Warehouse. Based on BOM Warehouse, Data Mining systematical model is setting up, The data analysis that realizes in Data Warehouse of Selling BOM, play the function of decision support. Association rule it is main technologies at Data Mining, find the related relations of attribute, that is feasible, based on Maintaining BOM. We propose the research approach that is novel and effective in Machinery fault diagnoses field. To the practical problems on the ERP systems of Oracle Applications lli, puts forward the solution, finish procedure making.