This course covers the foundations of modern methods of quality design, control, improvement, and management that are used in the manufacturing and service industries.

IMEN 272 (Probability and Statistics for Engineers) or MATH 230 (Probability and Statistics); Strictly enforced.

Grading System: 50% Assignments and Term Project
40% Final Examination
10% Class Participation

Montgomery, Introduction to Statistical Quality Control, 8th ed, Wiley, 2019.

Week 1: Introduction
Week 2-3: Quality Function Deployment
Week 4-8: Process Capability and Statistical Process Control
Week 9-10: Design of Experiments
Week 11-12: Quality Management
Week 13-15: Selected Topics in Modern Quality Engineering/Management
Week 16: Final Exam

Introduction
-Course Overview
-Strategic Importance of Quality

Quality Function Deployment
-New Product Development Process
-House of Quality Chart

Process Capability
-Inherent Variations and Tolerancing
-Design Specifications vs. Natural Variation
-Process Capability Study

Statistical Process Control
-Process Improvement vs. Process Control
-Chance Causes vs. Assignable Causes
-Control Charts
Design of Experiments
-Optimal Settings of Parameters
-Designs: Single Factor, Factorial Design
-Taguchi Methods

Other Selected Topics in Modern Quality Engineering/Management
- Quality Management in Industry 4.0 (Quality 4.0)
- Service Quality
- Quality Standards and Awards
- New Trends in Quality Engineering/Management

Assignments: Small case problems will be given as assignments. A detailed schedule will be announced later.
Term Project: A term project (in a group of about 4 students) will be given. A detailed schedule will be announced later.
Class Participation: Students are expected to actively participate in class discussions.