This book shows how to improve manufacturing by the use of process control. It shows specifically how improved economic performance in chemical manufacturing can be achieved and sustained through the application of process control and statistics to reduce process variability and improve quality, yield, throughput, energy utilization, and cycle time --i.e., the world class performance metrics in manufacturing. Because the technique is used to identify and assess process control improvements in terms of meeting business needs, it can also be directly applied to related processes in such industries as food and drugs, agricultural products, rubber, plastics, fibers, petroleum refining and petrochemicals, and film. Covers topics such as assessing variability; assessing control performance; process analysis to identify control opportunities; estimating benefits; prioritizing improvements for reduced resources; implementing automatic controls for reducing variability; inferential measurements; sustaining the benefits; and process design for improved controllability. For business managers, manufacturing supervisors, process engineers and applied statisticians responsible for improving the performance of their business.