CM4071 Manufacturing System Simulation Syllabus:
CM4071 Manufacturing System Simulation Syllabus – Anna University PG Syllabus Regulation 2021
OBJECTIVES:
• To discuss the importance and advantages of applying simulation and modelling techniques
• To teach various random number generation techniques, its use in simulation
• To explain the applications of random probability distributions in real time environments.
• To train students to solve discrete event problems using software.
• To train students on Simulation models using a simulation software.
UNIT I INTRODUCTION
Systems and its types, Types of Modelling, Principles used in Modeling, simulation as a decision making tool, types of simulation, Advantages and disadvantages of simulation, Steps in simulation model building – statistical models in simulation -discrete and continuous system
UNIT II RANDOM NUMBERS
Random number generation -Properties of Random Numbers –Generation of Pseudo Random Numbers – Techniques –Tests for Random Numbers
UNIT III RANDOM VARIATES
Random variate generation-Inverse Transform Technique –Direct Transform Techniques Convolution Method Acceptance Rejection Technique– Routines for Random Variate Generation, Testing -Analysis of simulation data.
UNIT IV ANALYSIS OF SIMULATION DATA
Input modelling-Fitness tests – verification and validation of simulation models – output analysis for a single model, Comparison and evaluation of alternate system design, Optimization using simulation.
UNIT V SIMULATION LANGUAGES AND CASE STUDIES
Simulation languages and packages-Case studies in WITNESS; FLEXSIM, ARENA, SIMQUICK Simulation based optimization-Modelling and Simulation with Petrinets -Case studies in manufacturing and material handling system- Monte Carlo Simulation. Simulation of Single Server Queuing System. Simulation of manufacturing shop Simulation of Inventory System
OUTCOMES
CO1: Explain the Manufacturing Models of Discrete event systems
CO2: Develop the Uncertainty using Random numbers and Random Variates
CO3: Analyze the verification & valediction of Models and Optimization
CO4: Demonstrate the concepts of modeling layers of society’s critical infrastructure networks
CO5: Make use of tools to view and control simulations
REFERENCES
1. Geoffrey Gordon, “System Simulation”, 2nd Edition, Prentice Hall, India, 2020.
2. Jerry Banks & John S.Carson, Barry L Nelson, “Discrete event system simulation”, Prentice Hall,2000.
3. Law A.M, “Simulation Modelling and Analysis”,Fifth edition, Tata Mc Graw Hill,2014.
4. NarsinghDeo, “System Simulation with Digital Computer”,Fith edition, Prentice Hall,2014.
5. Pidd, M, “Computer Simulation in Management Science”, Fifth edition,John Wiley & Sons, Inc,2016.