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Basic Control Charts for Variables
內容大綱
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 4, Basic Control Charts for Variables (14 pages), provides an overview of the different charts that can be used to analyze continuous measurement information such as height, weight, and length. The author reviews the utility of different charts depending on the type of data sample. He also explains how charts are used in pairs to assess both the changes in process average and process variation (e.g. I- and MR charts, the X-bar and R-charts, and the X-bar and S-charts). The chapter includes a guide to determining which chart type to use.