Application Study Of Mechanical Material Quality Improvemwnt Of Computer Based On6Sigma Method

In the background of global economic, Computer OEM industry access threshold is reduced, alarge number of new companies entering the industry to make differentiated products and servicesnot reflect only the homogenization of price competition, low-cost companies to get orders andchance of survival. OEM industry is a typical material processing mode, more than70%of the totalcost is raw materials costs. OEM enterprises have to reduce the total cost by reducing the purchasecost of raw materials, because the electrical components (such as CPU, hard drive, memory, IC), etc.are controlled by international companies, manufacturing enterprises are able to control t he price ofthe mechanical components only,so OEM companies reduce the purchase price of mechanicalcomponents to reduce the total cost.Reduce the purchase price to bring quality standards to reduce alarge number of structures lead to rising material adve rse foundry business failure costs, improvequality level of the mechanical components suppliment while keeping the price level become urgentproblems of OEM enterprises to be solved.This paper studied Six Sigma quality management method define, analyze, measure, improveand control (DMAIC) five steps to improve quality of mechanical components.First, base onmechanical components quality problems in production lines and customer complaints analysis startthe project through flowcharts, process analysis, voice of the customer analysis into key internalprocesses to define the scope of the project, define the stability of mechanical componentsdimensions as major problem. Follow to define the project themes, goals and set up the team. Thenuse measurement system analysis (MSA), process capability index (CPK) and other tools to assessthe current mechanical components quality level and the presence specific problems focus on theproject definition theme "mechanical components quality improvement". Further step is analysis ofthe data using effect-cause diagram,Pareto diagram, univariate analysis,Design of experiment (DOE)is orthogonal experimental program to get the variance factor,residuals,F ratio analysis.Useorthogonal diagram to get the variance factor,residuals, F ratio analysis as Experimental design(DOE). Use Minitab tool contour,response optimize to obtain key factor of metal stamping is die height and its optimal parameter is288.0667mm,the key factor of injection molding is holdingpressure and its optimal parameter is239kg/cm2.After the parameter optimization re-evaluationprocess capabilities level above Six Sigma. Finally use regression analysis to establish factorregression model.After the project implementation,mechanical components quality incident of OEMproduction lines decreased64.8%,reduced failure cost approximately$230,000.Quality standards ofmechanical components suppliers increased from an average3.6sigma to5.2sigma.improved thesupply chain and the company’s overall competitiveness.