Application Research Of The Statistical Process Control Technology In Box Manufacturing Process

Now the car manufacturer more competitive on the market, it is necessary toensure that the products are excellent quality, the products meet the high degree ofconsistency. But most of the enterprises or the process of testing and product testing asa primary means for quality control of products. Quality issues tend to adopt measuresto step up inspection or an increase in sampling frequency, but the product has beenmanufactured, there failed after the loss has been unable to make up for such a qualitymanagement approach can not adapt to the development of modern manufacturing.This requires more advanced quality control techniques instead, statistical processcontrol (Statistical Process Control referred to as SPC) technology is clearly able tomeet this requirement.1925Statistical Process Control (SPC) theory, is the application of statisticaltechniques to control the production process. During World War II, the United States inorder to meet the quality requirements of the armed forces, the statistical theory in theindustrial sector to promote the application.1950Deming statistical quality controlmethods to teach the Japanese companies, Japan’s economy and product quality ranksthe world’s leading position.1980s, the Western industrial countries have carried out"SPC renaissance" movement. China since1960began the introduction of SPC,In thelate1980s, this approach also soon be widely used in various industries. Successfulimplementation of the SPC are not many.Statistical process control techniques is the use of control charts and otherstatistical techniques to analyze the process and its output,the adoption of appropriatemeasures to achieve and maintain process stability, in order to achieve the purpose ofthe forward and ensure product quality. Focuses on the ability to map and process twocore tools of SPC. In a controlled state of the property value is limited only by randomfactors, the process quality characteristics follow a normal distribution, known by the 3σ criteria, the characteristic values may be outside the control limits the probability of0.27%. If the control chart point beyond the control limits or other small-probabilityevent, you can explain the production process may be unstable. To characterize thenormal distribution available mean (μ) and standard deviation (σ), which togetherreflect the process capability.Using FMEAto determine the main parameters of the key processes of theCabinet process. Over the people of the Cabinet process, machine, material, method,ring, measuring six elements analyzed, mainly from the establishment of standardoperating lean production requires the operator to standardize operations, equipmentequipment Total Productive Maintenance to right maintenance of capacity; MSAanalysis of the measurement system analysis to ensure the authenticity and accuracy ofdata collection. From the characteristics of box structure analysis of its technicalfeatures, and targeted process is optimized, such as the improvement of the fixture,tool improvements. Short each of the factors that affect the process control to achievethe process control, to create the conditions for the application of statistical processcontrol techniques.Sentenced to different rules of the process in the actual application process isanalyzed using mathematical statistical analysis of the principle, a brief description ofmiscarriage of justice and the Missing. Waste loss rate decreased significantly throughresearch and application papers, box processing line products, improve product quality.