Advanced Control Charts for Variables

Statistical Process Control for Managers is an eight-chapter book published by Business Expert Press in 2014 and written by Victor E. Sower, professor emeritus of operations management at Sam Houston State University. The book provides a conceptual approach to using statistical process control (SPC) to inform and improve decision-making around business processes and quality improvement. The author reviews the basic methods of SPC and provides practical guidance for using specific tools. He incorporates real-world examples throughout the book and ends each chapter with a summary of key points, as well as questions for managers to ask when applying the concepts to their own organizations. Chapter 5, Advanced Control Charts for Variables (10 pages), expands on the concepts in the previous chapter by reviewing additional tools to use in specific process scenarios. The first tool is a delta control chart for short production runs that may not provide sufficient data samples. The second tool is an exponentially weighted moving average (EWMA) chart when facing a short-term variance. The third method is adapting X-bar charts, R-charts, S-charts, and delta charts when the sample size varies. For each method, the author provides a basic explanation of the tool and example of how to apply it in decision-making. There is a chart at the end of the chapter to guide how to select the appropriate method for the process.

• Quality control
• Statistical analysis
• Quality management
• Operations strategy
• Process improvement