IE 337 | Course Introduction and Application Information

Course Name
Industrial Applications of Simulations
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 337
Fall/Spring
2
2
3
6

Prerequisites
  IE 335 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives This course aims at teaching some advanced concepts in discrete event simulation modeling and also making students familiar with the real life simulation applications.
Course Description The students who succeeded in this course;
  • Will be able to design experiments in discrete event simulation
  • Will be able to make sensitivity analysis in discrete event simulation
  • Will be able to use simulation optimization tools
  • Will be able to model detailed manufacturing and service operations
  • Will be able to model inventory systems
  • Will be able to model material handling systems
Course Content This course emphasizes the detailed discussion of real life simulation applications in manufacturing and service systems so that the students will gain the ability to use simulation technique in business life.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Review of Basic Concepts in Simulation Modeling Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
2 Simulation Examples in Spreadsheets Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
3 Simulation Modelling of a Single-Server Queue in C Programming Language Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
4 Modeling Detailed Operations – I : Simulation modeling using data interchange Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
5 Modeling Detailed Operations – II : Modeling with loops and submodels Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
6 Modeling Detailed Operations – III : Modeling packaging operations; batching, separating Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
7 Design of Simulation Experiments Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
8 Sensitivity Analysis and Simulation Optimization Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
9 Modeling Reneging and Jockeying in Queuing Systems Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
10 Modeling Inventory Systems : (r,Q) and (s,S) Inventory Policies Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
11 Simulation of Material Handling Systems I : Unconstrained Transfer in Network of Queuing Systems Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
12 Simulation of Material Handling Systems II : Constrained Transfer with Resources Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
13 Simulation of Material Handling Systems III : Constrained Transfer with Free Path Transporters Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
14 Simulation of Material Handling Systems IV : Constrained Transfer with Guided Path Transporters Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
15 General Review, Discussion and Evaluation Course Handouts and WSC Proceedings available online at http://www.wintersim.org/
16 Review

 

Course Notes/Textbooks Banks, J., Carson II, J. S., Nelson, L. B., and Nicol M. D., DiscreteEvent System Simulation, Prentice Hall, 2010. Kelton, W.D., Sadowski, R. P. and Sadowski, D.A., Simulation with ARENA, McGraw-Hill, Inc., 2010.
Suggested Readings/Materials Handbook of Simulation, Principles, Methodology, Advances, Applications, and Practice, edited by Jerry Banks, John Wiley and Sons, Inc., 1998. Manul D. Rossetti, Simulation Modeling and ARENA, John Wiley and Sons, 2010. Tayfur Altıok, Benjamin Melamed, Simulation Modeling and Analysis with ARENA, Elsevier, 2007. Simulation Modeling Handbook a Practical Approach, Christopher A. Chung, CRC Press, 2003. Pegden, D.C., Shannon, E.R. and Sadowski P.R., Introduction to Simulation Using SIMAN, McGraw-Hill, Inc., 1995. WSC Proceedings, http://www.informscs.org/wscpapers.html. Ders Notları.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
1
20
Homework / Assignments
1
30
Presentation / Jury
Project
1
30
Seminar / Workshop
Portfolios
Midterms / Oral Exams
Final / Oral Exam
1
20
Total

Weighting of Semester Activities on the Final Grade
80
Weighting of End-of-Semester Activities on the Final Grade
20
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
Including exam week: 16 x total hours
16
2
32
Laboratory / Application Hours
Including exam week: 16 x total hours
16
2
Study Hours Out of Class
16
2
Field Work
Quizzes / Studio Critiques
1
10
Homework / Assignments
1
30
Presentation / Jury
Project
1
30
Seminar / Workshop
Portfolios
Midterms / Oral Exams
Final / Oral Exam
1
16
    Total
182

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Adequate knowledge in Mathematics, Science and Software Engineering; ability to use theoretical and applied information in these areas to model and solve Software Engineering problems
2 Ability to identify, define, formulate, and solve complex Software Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose
3 Ability to design, implement, verify, validate, measure and maintain a complex software system, process or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern methods for this purpose
4 Ability to devise, select, and use modern techniques and tools needed for Software Engineering practice
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Software Engineering problems
6 Ability to work efficiently in Software Engineering disciplinary and multi-disciplinary teams; ability to work individually
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9 Awareness of professional and ethical responsibility
10 Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development
11 Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Software Engineering solutions

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest