<p> Nanyang Technological University School of Mechanical & Production Engineering MSc (CIM) and MSc Logistics System Simulation and Modeling</p><p>1. OBJECTIVES AND SCOPE</p><p>The primary objective of this course is to provide an insight into how simulation modeling can aid in effective decision-making. The bulk of the time in the course is spent on discrete event simulation modeling. Simulation model building aspects of discrete systems (such as manufacturing and logistics facilities, supply-chains) are covered in detail. It is also demonstrated how computer simulation can be used to successfully model, analyze and improve systems under study. A simulation software (Arena) is used to demonstrate building and executing the models. Systems dynamics and continuous simulation are also covered in earlier part of the course.</p><p>The course also covers the topic of simulation life cycle analysis, and goes over issues like model verification and validation. It also looks into the statistical analysis of simulation model output.</p><p>The course can be sub-divided into two modules:</p><p>Essentials of systems dynamics provides a continuous simulation perspective coupled with a broad treatment of strategic systems thinking issues as related to Global manufacturing problems. </p><p>The second main module is discrete event simulation that ventures further into detailed event driven model building analysis and demonstrates how Global manufacturing facilities can be successfully planned, implemented and managed. </p><p>Supporting topics include the use of the simulation for modeling the supply-chains with the objective to optimize, fine tune and control them.</p><p>Syllabus Includes: </p><p>Introduction to Systems. Classification of Systems and Models. Manufacturing organizations as Systems. Discrete Event Simulation. System life cycle analysis. Systems Dynamics. Continuous Simulation, Supply Chain Modeling. Case Study. </p><p>2. SYLLABUS</p><p>M6223 1 Module 1 Discrete-event Simulation 30 hours</p><p>Overview of the Course Monte-Carlo Simulation Discrete-event Simulation Simulation life-cycle analysis Input-output analysis Model verification and validation</p><p>Module 2 Continuous Simulation 9 hours</p><p>Continuous Simulation System Dynamics Simulation in the Process Industry</p><p>3. REFERENCES</p><p>Simulation with ARENA W. David Kelton, Randall P. Sadowski and Deborah A. Sadowski (1998). WCB McGraw-Hill. </p><p>Simulation Modeling and Analysis Law, A.M. & Kelton, W.D. (1991) 2nd ed, New York: McGraw Hill Inc. </p><p>Discrete Event System Simulation Banks, J., Carson II, J.S., & Nelson, B.L. (1996) 2nd ed., New Jersey: Prentice Hall Int’l Inc. </p><p>Simulation Model Design and Execution : Building Digital Worlds Fishwick, P.A. (1995) New Jersey: Prentice Hall Int’l Inc. </p><p>M6223 2</p>