OPT 2201 Statistical Process Control

Emphasis on process capability, control charts, techniques and analysis. This is followed by more advanced study of reliability, quality function deployment, design of experiments, failure mode effects analysis and quality costs. Two classroom, two lab hours per week.

Prerequisites: None

Course Outcomes

• Apply hypothesis testing to verify differences in means, variance and standard deviation of data from designed experiments.
• Select appropriate techniques used to control and reduce variation.
• Apply problem solving techniques to the development of an improvement plan for processes that are not in statistical control and/or not capable of meeting customer requirements.
• Acquire, analyze and interpret data from a process to determine if that process data is normally distributed, is in statistical control and capable of meeting customer requirements; and interpret data collected from experimental designs for hypothesis testing.
• Apply the laws of reliability to test, determine, evaluate and predict the reliability of systems and components and devise ways for reliability improvement.
• Apply techniques such as Quality Function Deployment, Design of Experiments, Failure Mode and Effects Analysis, and Quality Costs to further analyze and suggest improvements to existing and proposed systems.
• Apply the concepts of Measurement Systems Analysis and select appropriate techniques used to evaluate, control and reduce variation.Apply the concepts of Measurement Systems Analysis and select appropriate techniques used to evaluate, control and reduce variation.

Credit Hours: 3

• Classroom: 2 hours
• Lab: 2 hours

• Division: Science, Mathematics and Engineering
• Department: Industrial & Systems Engineering Technology

• Repeatable Credit: No
• Offered Online: No