Unit 1

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

Applications of Simulation in Manufacturing – Manufacturing Modelling Techniques – Modelling Material Handling system – Model building exercises using Arena – Case study.
Simulation output analysis: Design of Simulation Experiments: Determination of warm up period, Run length, Number of replications – Statistical analysis of simulation output – Terminating and Non-Terminating Simulations – Comparing alternative system designs – Variance reduction Techniques – Simulation Optimization.

Course Objectives

• To impart knowledge in the field of modern methods for simulation and modelling of production systems for industrial needs
• To focus on technological processes and manufacturing systems and applies the principles of discrete simulation for their modeling using software tool
• To familiarize with discrete event simulation for modelling & simulation of manufacturing systems

Course Outcomes

• CO1: Understand the basic concepts and applications of discrete event simulation
• CO2: Analyze the simulation input data
• CO3: Verify and validate simulation models using statistical techniques
• CO4: Analyze and interpret the simulation output results
• CO5: Build credible simulation models for real-time applications

CO – PO Mapping

Textbook(s)

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

Reference(s)

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

Evaluation Pattern