Course
code IM521E
credit_hours 3
title Discrete Event System Simulation
arbic title
prequisites IM423
credit hours 3
Describtion/Outcomes This course provides a basic treatment of discrete-event simulation, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. Furthermore, it presents the application of simulation in manufacturing and material handling systems, and service industries.
arabic Describtion/Outcomes
objectives Upon completion of this course the student will be able to: Understand the broad applicability of discrete-event process simulation to industrial engineering problems. Know the steps required to undertake a successful simulation analysis. Learn analytical techniques for interpreting input data and output results pertinent to simulation models.
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ref. books Jerry Banks, John Carson, Barry L. Nelson, and David Nicol, “Discrete-Event System Simulation”, Prentice Hall.
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textbook
arabic textbook
objective set combined
content set bullets
Course Content
content serial describtion
1 Introduction to Modelling and Simulation Monte Carlo Simulation of Queuing Models. Monte Carlo Simulation of Inventory Models. Monte Carlo Simulation ? Other Applications. General Principles of Discrete Event System Simulation. Simulation Software. Queuing Models. Random-number Generation. Random-variate Generation. Input Modelling. Validation and Verification of Simulation Models. Output Analysis for a Single Model. Comparing Multiple Designs. Simulation of Manufacturing and Material Handling Systems. Simulation of Service Industries. Final Exam.
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