IE 355
STATISTICAL QUALITY CONTROL

Course Description

Control of quality through the use of statistical analysis; typical control techniques and underlying theory. Development of reliability models and procedures for product assurance.

Topics

• Intro to Statistical Quality Control
• Describing variation & distributions
• Distributions and point estimation
• Statistical comparisons, inference
• Causes of variation; basic control charts
• Interpreting control charts patterns; applications of control charts
• Statistical basis for X-bar / R charts
• OC Curves and ARL
• Control charts for different sample sizes
• Process Capability analysis and Cp, Cpk & Cpm
• Gauge Capability and R&R studies; spec limits
• Fraction nonconforming sample size, OC, ARL; Attributes charts for “fraction non-conforming”
• Constant/variable size charts for nonconformities
• Cumulative sum control chart
• EWMA control charts and Moving Average control charts
• Acceptance sampling and MIL STD 105E

Learning Outcomes

The student, upon completion of this course, will be able to:

• Apply statistical process control concepts to monitor industrial process or service quality , including concepts of chance, variation and assignable causes, the meaning of statistical control, average run length (ARL) and operating-characteristic (OC) curves.
• Construct, implement and interpret X-bar and R, X-bar and s, CUSUM and EWMA control charts for variables based on process data, using corresponding OC curves to determine appropriate sample size.
• Construct, implement and interpret p, c, and u control charts for attributes based on process data, using corresponding OC curves to determine appropriate sample size.
• Determine process capability ratios Cp, Cpk and Cpm for industrial processes.
• Perform a gauge capability (R&R) study to determine gauge (measurement) capability for a process.
• Design, implement and use acceptance sampling methods for attributes and variables.
• Understand and implement military sampling standards.