Course Code & Number
IE 341
Credit Hours/ ECTS Credits
(2+0+2) 3 TEDU Credits, 6 ECTS Credits
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: MATH 232
Co-requisites: NONE
Catalog Description
Simulation methodology and model building. Modeling with a simulation language. Random number and random variate generation. Basic issues in the design, verification and validation of simulation models. Analysis of simulation output.
Course Objectives
The course aims to teach the basic principles and the methods in developing simulation models. The goal is to teach simulation modeling with a simulation package, ARENA including the design of the simulation experiments and statistical analysis of the input and output data for simulation models.
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Apply the basic concepts in discrete-event simulation modeling including model components, event list and flowchart. [e][B3]
2. Use simulation techniques and tools to model systems. [e, k][B3]
3. Construct simulation models using a simulation package and conduct simulation experiments. [b1, e] [B3]
4. Analyse the input and output data for simulation models. [b2][B4]
5. Perform verification and validation - for simulation models. [b2, e] [B3]
6. Identify engineering problems by using performance measures of simulation models. [e][B1]
7. Analyze solutions for industrial engineering problems and compare design alternatives by using simulation techniques. [e, b2][B4]
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Questioning
Reading
Problem Solving
Inquiry
Collaborating
Case Study/Scenarion Analysis
Simulation & Games
Hands-on Activities
Assessment Methods and Criteria:
Test / Exam
Quiz
Assessment Methods and Criteria Others:
Recommended Reading
1. Banks, J., Carson, J. S., Nelson, B. L., and Nicol, D. M. (2009), Discrete Event System Simulation (5th edition), Prentice Hall
2. Pegden, C.D., Shannon, R.E., and Sadowski, R.P., (1995), Introduction to Simulation Using SIMAN (2nd edition), McGraw-Hill, New York
Required Reading
1. Law, A. M. (2007), Simulation Modeling and Analysis (4th edition), McGraw-Hill, New York.
2. Kelton, W. D., Sadowski, R. P., and Swets, N. (2010), Simulation with Arena (5th edition), McGraw-Hill, New York.
Learning Activities and Teaching Methods Others:
Student Workload:
| Workload |
Hrs |
| Course Readings |
24 |
| Hands-on Work |
28 |
| Exams/Quizzes |
40 |
| Case Study Analysis |
25 |
Course & Program Learning Outcome Matching:
