Statistical process control
With its emphasis on early detection and prevention of problems, SPC has a distinct advantage over other quality methods, such as inspection, that apply resources to detecting and correcting problems after they have occurred.
Statistical process control (SPC) is the application of statistical methods to the monitoring and control of a manufacturing process to ensure that it operates at its full potential to produce conforming product. Under SPC, a process behaves predictably to produce as much conforming product as possible with the least possible waste. Key tools in SPC are control charts, a focus on continuous improvement and designed experiments.
Much of the power of SPC lies in the ability to examine a process and the sources of variation in that process. Variations in the process that may affect the quality of the end product can be detected and corrected, thus reducing waste.
Process cycle time reductions coupled with improvements in yield have made SPC a valuable tool from both a cost reduction and a customer satisfaction standpoint.
HAI*QPM provides for a range of easy-to-handle SPC tools which can be used off-line to get a better understanding of the manufacturing process, in addition to a set of at-line control charts supporting operators in controlling their production process.
