Quality Control and Industrial Statistics

Quality Control and Industrial Statistics
Six sigma; tools with which to define, measure, analyze, improve, control. Advanced concepts in control charts, applying experimental design for process and product improvement.
 Hours3.0 Credit, 3.0 Lecture, 2.0 Lab
 PrerequisitesSTAT 201; or STAT 240 & STAT 330
 RecommendedStat 340.
 ProgramsContaining STAT 462
Course Outcomes

Role of Quality Improvement

Explain the role of quality improvement as a business strategy

Variability in Processes and Process Outputs

Explain the relationship between variability in processes and process outputs and the quality and cost of the results produced


Use the six sigma DMAIC process for quality improvement projects

Design and Use Charts

Design and use Shewhart, Cusum, and EWMA control chars to recognize common and special causes of variability

Contruct Plans

Construct attribute and variables acceptance sampling plans

Measurement Analysis Tools

Use other useful quality tools for measurement analysis, discovering root causes, and eliminating quality problems