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COURSE INFORMATION FOR CURRENT SEMESTER/
TERM

Teaching Schedule

References/Teaching Materials/
Week Lecture/Tutorial/Assignment Topic
Equipment
1 Introduction to the subject Lecture notes, Reference texts
Importance, scope, dimensions of quality, definitions and princi-
ples of TQM, continuous improvement (CI) vs, traditional
orientation, ingredients for success, quality and productivity,
and quality engineering
2 Evolution of QM Lecture notes, Reference texts
TQC,TQM and quality assurance (QA), zero defects (ZD): ZD
management, Crosby’s 14 steps for quality management,
contributions of Shewart, Deming, Juran, Feigenbaum, Ishi-
kawa and Taguchi; Quality responsibility – strategy; beyond

Basic tools for quality management Lecture notes, Reference texts
3 Effective organization and value-driven improvement; problem

4 Basic of statistics Lecture notes, Reference texts
Definition of statistics, parts of statistics, type of data, level of
measurements; Variables: types and characteristics; Meas-
urement : accuracy : precision and error calculations; data
types, random data and selected (biased) data; steps in data
collection and relevant calculations, graphical presentation:
frequency graph, bar charts, pie chart, histogram, Pareto
chart, line graph etc.

5 Control chart: Variable control charts Lecture notes, Reference texts
Sources of variation; variable control charts under different condi-

6 Process capabilities analysis (PCA) Lecture notes, Reference texts
Meaning and purpose of PCA; individual values and process av-
erages; techniques for PCA; estimation of population sigma;
control limits and specification limits; process capability and
st
rd
nd
capability indices – 1 , 2 and 3 generation level of compu-
7 Attribute control charts Lecture notes, Reference texts
Charts for nonconforming units – fraction defective, np and
percent p charts; charts for count nonconformities – c
chart and u chart; attribute process capabilities

8 Goal-Post View and Taguchi’s View of Quality
Goal-Post View and Taguchi’s View Taguchi’s Quality Engi-
neering, Loss function, and Signal-to-noise ratio
9 Introduction to design of experiment (DoE)
SPC vs DoE, Manufacturing process variable-parameter struc-
ture, Experimental design – goal and objectives, Guidelines
for DoE, Experimental Approaches, Details on one and two
ways ANOVA, Residual Analysis, Taguchi method on DoE

UM-PT01-PK03-BR004(BI)-S04