S. No. 
Training Modules 
Coverage 
Duration 
1. 
Statistical
Process Control 
 Concept of Variation
 Process definition, measure and Mapping
 Failure Mode and effect analysis
 Process stability & capabilities
 Basic 7 Tools
 Control charts
 Problem solving Methodology
 Case Studies

2
 6 Days 
2. 
Inferential
statistics 
 Basic Descriptive Statistics
 Test of Hypothesis including ttest, Ftest, x^{2}
test, ANOVA
 Regression Analysis

2
 3 Days 
3. 
Industrial
Experimentation for Productivity & Quality Improvement
(Design of Experiments) 
 Basic Probability theory
 Test of Hypothesis
 Analysis of Variance
 Simple designs
 Full factorial experiments
 Orthogonal Experiments
 Taguchi methods

4
 6 Days 
4. 
Robust
Engineering
[For participants having sound knowledge of earlier
programme no. 2] 
 Robust Design Strategies
 Parameter Design
 Tolerance Design
 Parameter Design with dynamic characteristics
 Orthogonal Arrays

3
Days 
5. 
Defect Prevention
through Failure Mode & Effect Analysis (FMEA) 
 Problem solving vs. Problem prevention
 Process – Definition and Mapping
FMEA: System, design, process, service with examples

2
Days 
6. 
Measurement
Systems Analysis 
 Issues and concept
 Basic Statistical Methods
 R & R Studies
 Exercises

2
Days 
7. 
Application of
Statistical Techniques for Marketing 
 Issues in Marketing
 Marketing process and FMEA
 Process stability and capability
 Time series analysis
 Conjoint Analysis

3
Days 
8. 
Management Seven
Tools 
 New 7 tools e.g., Arrow Diagram, Relations Diagram,
Tree Diagram, Affinity Diagram, Matrix Diagram, Matrix
Data Analysis Diagram, PDPC
 Use in policy deployment

2
Days 
9. 
Quality Function
Deployment 
 Voice of the customer,
 QFD
 Examples & Exercises

1
 2 Days 
10 
Executive brief
on Six Sigma 
 Core Six Sigma Concepts, Philosophy
 Phases of Six Sigma Measurement, Analysis,
Improvement, Control
 Breakthrough techniques
 Implementation process

2
Days 
11. 
Statistical
Techniques for ISO 9000

 Requirements
 Suitable procedures
 Required techniques
 Concept, application & Benefit

3
Days 
12. 
Operations
Research for Management Decision Making 
 Issues
 Linear Programming
 Inventory Control
 Queuing Theory
 Replacement Theory
 Scheduling

3
 4 Days 
13. 
Statistical
Techniques in Problem Solving in Industries

 Statistical Thinking
 Approach & Cases
 Implementation process

1
Days 
14. 
Statistical
Methods for Reliability Engineering 
 Reliability models
 Use for field data and maintenance data in
Reliability estimation

2
Days 