Statistical process control (SPC) is a method to find out the abnormality in the process by analyzing the process capability and standardizing the process according to the data collected by control projects in manufacturing industry, and take immediate improvement measures to make the process return to normal. The purpose of implementing SPC is to evaluate the process reliably; Determine the statistical control limit of the process, and judge whether the process is out of control and whether the process is capable; Provide early warning system for the process, monitor the process in time to prevent the occurrence of waste products; Reduce the dependence on routine inspection, regular observation and systematic measurement methods replace a lot of detection and verification work.
Measurement system analysis (MSA) is to analyze the measurement system that can read all parts repeatedly, evaluate the quality of the measurement system, and judge whether the data generated by the measurement system is acceptable. The purpose is to understand the measurement process, determine the total error in the measurement process, and evaluate the adequacy of the measurement system used in production and process control.
Failure Mode and Effect Analysis (FMEA), as a planning tool of preventive measures, aims to find and evaluate potential failures and their consequences in the process, find measures to avoid or reduce potential failures and make continuous improvement.
Advanced product quality planning (APQP) is a structured method to determine and formulate the steps needed to ensure that products meet customer requirements. In order to meet the requirements of products, projects or contracts, before new products are put into use, the method used to determine and formulate a structured process to ensure the production of a specific product or series of products that meet customer requirements. Provide guidelines for making product quality plans to support the development of products or services that customers are satisfied with.
PPAP is a practical technology, whose purpose is to verify that the products manufactured by production tools and processes meet the technical requirements through product approval and recognition procedures before the first batch of products are shipped. The purpose of implementation is to determine whether the supplier correctly understands all the requirements of the customer's engineering design records and specifications, and has the potential to continuously meet these requirements in the actual production process under the condition of implementing the required production rhythm.
The five quality tools are the core of the automobile industry 16949, which have been proved to be suitable for the automobile industry and can play an important role in improving the quality management level and competitiveness of the automobile industry.