Statistical Process Control (Quality Control)

Statistical Process Control (Quality Control) is a lecture which is covered within the Operation Management Module which is covered by Bachelor and Master Level Students.

In this lecture, we address statistical process control—the same techniques used at BetzDearborn, at Arnold Palmer Hospital, at GE, and at Southwest Airlines to achieve quality standards. Statistical process control (SPC) is the application of statistical techniques to ensure that processes meet standards. All processes are subject to a certain degree of variability. While studying process data in the 1920s, Walter Shewhart of Bell Laboratories made the distinction between the common (natural) and special (assignable) causes of variation. He developed a simple but powerful tool to separate the two—the control chart.

Learning objectives:

1. Explain the purpose of a control chart
2. Explain the role of the central limit theorem in SPC
3. Build x-charts and R-charts
4. List the five steps involved in building control charts
5. Build p-charts and c-charts
6. Explain process capability and compute Cp and Cpk
7. Explain acceptance sampling

In this File you will find:

Statistical Process Control (Quality Control) Lecture Power Point Presentation
Detailed Statistical Process Control (Quality Control) Lesson Plan
Statistical Process Control (Quality Control) Test Bank with answers (more than 100 Questions)
3 Case Studies for seminar with all answers to them

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