Faculty Of Engıneerıng
Industrıal Engıneerıng (Englısh)

Course Information

SYSTEM SIMULATION
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
INE401 Fall 3 0 3 4

Prerequisites and co-requisites
Language of instruction English
Type Required
Level of Course Bachelor's
Lecturer Assoc. Prof. Cenk ŞAHİN
Mode of Delivery Face to Face
Suggested Subject None
Professional practise ( internship ) None
Objectives of the Course Providing skills of system analysis, modelling and interpretation
Contents of the Course Introduction and basics concepts, Simulation models arhitecture and types, Generation of Random numbers and variables, Modelling of Service systems, Simulation software packages, Inventory control models, Modelling of Logistics and Distribution systems, Modelling of Manufacturing systems

Learning Outcomes of Course

# Learning Outcomes
1 Student shall gain the basic principles of simulation studies
2 Student will be able to build and analyze simulation models for several systems with therocial knowledges such as data collection, input analysis, validation and verification of simulation models, output analysis etc.
3 Student will be able to identify basic and complex simulation models with using Microsoft Excel and add-ins, SIMAN simulation language and ARENA Simulation Software Package.
4

Course Syllabus

# Subjects Teaching Methods and Technics
1 Introduction and basics concepts Presentation
2 Simulation models arhitecture and types Presentation
3 Generation of Random numbers and variables Presentation
4 Modelling of Queue systems Presentation
5 Modelling of Service systems Presentation
6 Modelling of Service systems Presentation
7 Modelling of Manufacturing systems Presentation
8 Midterm Exam Exam
9 Data analysis and distrubitions Presentation
10 Inventory control models Presentation
11 Modelling of maintenance and replacement systems Presentation
12 Modelling of Logistics and Distribution systems Presentation
13 Verification and validation Presentation
14 Modelling with Arena Presentation
15 Modelling with Arena Presentation
16 Final Exam Exam

Course Syllabus

# Material / Resources Information About Resources Reference / Recommended Resources
1 LAW, A. M. & KELTON, W. D., 2000, Simulation Modeling & Analysis, New York, NY: Mc-Graw Hill , Inc.
2 BANKS, J., CARSON, J. S. & NELSON, B. L., 1996, Discrete-Event System Simulation (2nd edition), New York, NY: Prentice-Hall, Inc.

Method of Assessment

# Weight Work Type Work Title
1 40% Mid-Term Exam Mid-Term Exam
2 60% Final Exam Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

# Learning Outcomes Program Outcomes Method of Assessment
1 Student shall gain the basic principles of simulation studies 1 1͵2
2 Student will be able to build and analyze simulation models for several systems with therocial knowledges such as data collection, input analysis, validation and verification of simulation models, output analysis etc. 2 1͵2
3 Student will be able to identify basic and complex simulation models with using Microsoft Excel and add-ins, SIMAN simulation language and ARENA Simulation Software Package. 3 1͵2
4
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

# Type of Work Quantity Time (Hour) Work Load
1 Course Duration 14 3 42
2 Course Duration Except Class (Preliminary Study, Enhancement) 14 5 70
3 Presentation and Seminar Preparation 0 0 0
4 Web Research, Library and Archival Work 0 0 0
5 Document/Information Listing 0 0 0
6 Workshop 0 0 0
7 Preparation for Midterm Exam 1 3 3
8 Midterm Exam 1 2 2
9 Quiz 0 0 0
10 Homework 0 0 0
11 Midterm Project 0 0 0
12 Midterm Exercise 0 0 0
13 Final Project 0 0 0
14 Final Exercise 0 0 0
15 Preparation for Final Exam 1 3 3
16 Final Exam 0 0 0
  120