These training modules are developed based on the requirements of organisations to train their employees. Institute offers these training modules at the organisation premises and helps them to implement also. The subjects within a module are customised to cater to the specific need of the organisation.
 

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 t-test, F-test, x2 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

 

 

Corporate Training

Work On Six Sigma