Quality Loss Forecasting Method And Its Support System For Key Assembly Process Materials Quality Loss For Complex Electromechanical Products

Complex electromechanical products have high manufacturing costs, longassembly cycle, high quality requirements. Meanwhile, once the key assembly processmaterials quality loss for complex electromechanical products emerging qualityproblem, it will cause serious tangible and intangible quality loss for the complexelectromechanical products manufacturer such as subsequent assembly processproducing, production late delivery compensation, customer satisfaction and so.Because of lacking of key assembly process materials quality loss forecasting method,the majority of complex electromechanical products can’t make evaluation and earlywarning for key assembly process materials quality loss, which cause the key assemblyprocess materials quality loss can’t be effectively controlled. Therefore, the majority ofcomplex electromechanical products manufacturers urgently need a kind of keyassembly process materials quality loss forecasting method and its support system tomake fast evaluation and early warning for key assembly process materials quality loss,so as to realize the effectively control of the quality loss. Combined with the issue anddemand of key assembly process materials quality loss for complex electromechanicalproducts manufacturer, this dissertation will discuss and study the key assembly processmaterials quality loss forecasting method and its support system for complexelectromechanical productsFirstly, based on the analysis of key assembly process materials quality loss control,status and needs, by means of analyses the influence factors of key assembly processmaterials quality loss for complex electromechanical products, establish the keyassembly process materials quality loss evaluation index system for complexelectromechanical products and use AHP(Analytic Hierarchy Process) to calculate theweight vector of the evaluation index system. Subsequently, according to the evaluationindex system and its weight vector, the key assembly process materials quality lossevaluation and early warning method based on the Fuzzy Comprehensive Evaluationand GA-BP (Genetic Algorithms-Back Propagation) neural networks respectively wasproposed.Secondly, based on the research in the key technologies of key assembly processmaterials quality loss for complex electromechanical product, according to the complexelectromechanical manufacturer’s demand for key assembly process materials quality loss rapid evaluation and early warning, a support system of complex electromechanicalproduct key assembly process materials quality loss forecasting was studied, whichcould realize fast evaluation and early warning control and analysis for key assemblyprocess materials quality loss. Meanwhile, the system architecture, function structureand running mode were studied.Finally, based on the above research, a set of key assembly process materials qualityloss forecasting support system was designed and developed. Simultaneously, thesupport system was implemented in a complex electromechanical product manufacturerin Guiyang and good results were obtained.