- Lectures on Productivity & quality management
- lecture 2 business excellence
- lecture 3 data envelop analysis
- lecture 4 productivity measurement
- lecture 5 productivity analysis
- lecture 6 (1-focus, 2-define,3-analysis, 4-improve) continuous improvement
- lecture 7 paradigm
- lecture 8 (1- quality definition 2-trends) total quality management
- lecture 9 (1-system thinking 2-quality engineering)
- lecture 10 quality technique
- lecture 11 statistical technique & Lecture on statistical approach to quality
- lecture 12 problem solving technique
- lecture 13 quality assurance (iso series)
- lecture 14 Hoshin planning
- Lecture 15 Business process improvement
- Lecture 16 Six Sigma
- Lecture 17 Fit Sigma
- Lecture 18 Control Subjects
- Lecture 19 Design of experiment , one factor , factorials, Blocking , 2k factorials , 2k-p factorials
Design for Six Sigma, kai yang, basem El-haik, Mc-Graw hill,2003
1998,Oakland,Total Quality Management, Prentice hall
1996,Joseph prokopenko, Productivity & Quality management, APO
Douglas C Montgomery, Introduction to Statistical Quality Control, 8/e, John Wiley & Sons
Statistics Handbook