What are some of the best practices and lessons learned from SPC projects?
Statistical Process Control (SPC) is a method of monitoring and improving the quality and performance of processes by using statistical tools and techniques. SPC projects aim to identify and reduce variation, waste, and defects, and to enhance customer satisfaction and profitability. However, SPC projects also face many challenges and limitations, such as data quality, management support, human factors, and external factors. In this article, we will share some of the best practices and lessons learned from SPC projects based on our experience and research.