Unit 1

Introduction: Introduction to manufacturing systems – Introduction to simulation – applications – System and System Environment – Types of Simulation – Simulation procedure – Examples of simulation.

Introduction to Simulation softwares.

Probability distributions: Review of basic probability and statistics – Probability distributions – Random number generators – Testing of Random numbers.

Unit 2

Analysis of Simulation input data: Data Collection – Statistical analysis of numerical data – Tests for Independence and Identically distributed data – Distribution fitting – selecting a distribution in the absence of data – Modelling discrete probabilities – Demonstration of input modelling using Arena Simulation package.

Model Building of Discrete systems: Modelling Paradigms – Modelling of Structural elements and Operational elements – Modelling issues – Model Verification and Validation.

Unit 3

• Law A. W. and Kelton D. W. – ‘Simulation Modeling and Analysis’ – McGraw Hill – 2010 – 5th Edition
• Kelton D. W., Sadowski R. P. and Sasowski D. A. – ‘Simulation with ARENA’ – McGraw Hill – 2009

• Banks J., Carson J. S., Nelson B. L. and Nicol D. M. – ‘Discrete Event System Simulation’ – Pearson Education – 2001 – 3rd Edition
• Viswanathan N. and Narahari Y. – ‘Performance Modeling of Automated Manufacturing Systems’ – Prentice Hall – 1998