The course on Six Sigma will focus on detailed strategic and operational issues of process improvement and variation reduction called Six Sigma, a measure of quality that strives for near perfection. It is a disciplined, data-driven approach for eliminating defects (driving towards six standard deviations between the mean and the nearest specification limit) in any process-from manufacturing to transactional and from product to service. A Six Sigma defect is anything outside of customer specifications. To be tagged Six Sigma, a process must not produce more than 3.4 defects per million opportunities.
The course will provide an exposure to well-established methods of quality assurance and management and advanced statistical methods including design of experiments.
Six Sigma is recognized as modern quality strategy to compete and sustain in the global markets. The philosophy of Six Sigma is built on two frameworks-DMAIC (define, measure, analyze, improve, control) and DMADV (define, measure, analyze, design, verify). This course will provide a detailed understanding on both the methodologies to the students.
The course intends to cover basic concepts in quality management, TQM, Cost of quality, quality engineering and Six Sigma, review of Probability and Statistics, Test of Hypothesis.
Subsequently, the course will focus on DMAIC process for process and design improvement, Acceptance Sampling, SPC (Statistical Process Control), Process Capability, Gage Reproducibility and Repeatability, Quality Function Deployment.
This will be followed by advanced quality control tools like Design of Experiments, ANOVA, EVOP, Fractional, Full and Orthogonal Experiments, Regression model building, Taguchi methods for robust design, and Six Sigma sustainability.
The course is designed with a practical orientation and includes cases and industry applications of the concepts.
Week 1: Lecture 1: Quality concepts and definition
Lecture 2: Key concepts in quality management
Lecture 3: Fundamentals of Total Quality Management (TQM)
Week 2: Lecture 4: Cost of quality and Six Sigma
Lecture 5: Fundamentals of statistics
Lecture 6: Probability theory and concepts
Week 3: Lecture 7: Probability rules and events
Lecture 8: Sampling distribution and test of hypothesis
Week 4: Lecture 9: Quality philosophies and standards
Lecture 10: Tools for TQM and continuous improvement
Lecture 11: Quality Function Deployment (QFD) and Design failure mode effects analysis (DFMEA)
Week 5: Lecture 12: Quality awards, benchmarking and service quality
Lecture 13: Service quality and process control
Week 6: Lecture 14: Project management: Complexities and examples
Lecture 15: Project management: Key decisions, Work breakdown structure, schedule development and cost estimation
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.