تحسين جودة المنتج باستخدام نظام CAPP المعتمد على الشبكات العصبية : بحث تطبيقي في الشركة العامة للصناعات الكهربائية

الملخص EN

This paper deals with the design of CAPP system based on neural networks to improve the product quality in the General Company for Electrical Industries based on a sample of the company's products, which suffer from problems in the quality represented parts rotary products such as Air cooled engine and Fan.

Have been trained neural networks upon which the system on the sample data Search in order to determine the machinery required for the production of cutting tools appropriate to the manufacturing process and appropriate machinery.

Through the practical application of the proposed system has been raising the quality level of the selected portions of the sample through the reduction of the costs of increased consumption of cutting tools and reduce the time and expertise required to produce these parts.