1. SEN301 Operations Research I
Y. İlker TOPCU, Ph.D.
twitter.com/yitopcu
Özgür KABAK, Ph.D.
web.itu.edu.tr/kabak/

3. Course Information Credits: 3+0 ECTS Credits: 7 Type: Compulsory
Language: English
Web site: web.itu.edu.tr/topcuil/ya/SEN301
ninova.itu.edu.tr

4. Course description
Decision making, Model building, Modeling philosophy
Linear programming
Graphical solution, Simplex algorithm, M method, Two phase simplex, Dual simplex, Revised simplex
Lindo and Excel solver, GAMS
Duality, Sensitivity analysis, Complementary slackness
Transportation models and solving methods, Transshipment, Assignment
Network models
Project management

5. Course objectives
To use different mathematical modeling techniques utilizing Operations Research (OR) methodology
To learn various methods that are used for quantitative decision making
To find optimal solutions to problems

6. Course learning outcomes
Students who pass the course will be able to
use different mathematical modeling techniques
solve a problem modeled with LP
comprehend the solution of an LP model
understand the sensitivity of a solution to the changes at the parameters of the problem
use some computer software to model, solve and analyze a linear model
identify whether a solution is optimal or not
solve and analyze transportation and assignment problems with related methods

7. Relationship between the course and Industrial Engineering curriculum
1: Little, 2. Partial, 3. Full

8. References
Text book
Winston W.L. (2004) “Operations Research: Applications and Algorithms”, Brooks/Cole – Thomson Learning
Web site of the course
Up-to-date lecture notes and supplements
Solutions to exams and homework
Previous exam questions
Books
“Operations Research”, "Practical Management Science", "Introduction to Management Science“, "Quantitative Analysis for Management”, "Optimization in Operations Research", "Introduction to Mathematical Programming“
Web sites of other courses

9. Assessment Criteria Final exam (40%), 2 Midterm exams (40%),
3 Assignments (20%)
All exams will be “open book”
If your final exam grade is less than 30 or if your average grade is less than 40, you will receive a letter grade FF
If you do not complete the following requirements, you will receive a letter grade VF:
One of your midterm exam grades must be more than 30
One of your HW grades must be more than 50

10. Exams Midterm exam 1 Topics covered in the first six weeks
October 21, 6:00 pm
Midterm exam 2
Topics covered after week seven
December 9, 6:00 pm
Final exam
All topics

11. Assignments HW1 Modeling September 16 – 30 HW2 Softwares
October
HW3
Solutions, Sensitivity Analysis
November 11 – 25

12. Cheating and Plagiarism
Do not!
Studying together to understand the material is fine, but the work you hand in is to be your own.
No cheating will be tolerated: A letter grade of F will be given!
You can constitute a group of maximum three students to submit assignments. You may submit a unique report for your group (of course plagiarism among assignment groups is strictly forbidden).

13. Schedule

14. Asst. Prof. Dr. Özgür Kabak
Office address
Management Faculty A311, Maçka, Istanbul
Phone
(212)   /2039 office   /2073 secretary
Web site
web.itu.edu.tr/kabak/
address

15. Asst. Prof. at Industrial Engineering department of ITU (2011)
Post-doc studies at Belgium Nuclear Research Centre (SCK.CEN) ( )
A fuzzy multi attribute decision making approach for nuclear safeguards information management
Ph.D. in ITU Industrial Engineering programme (2008)
Modeling supply chain network using possibilistic linear programming and an application
Research interests
Operations Research (Mathematical programming)
Supply chain management
Fuzzy decision making

16. Prof. Dr. Y. İlker Topcu Office address
Management Faculty C301, Maçka, Istanbul
Phone
(212)   /2069 office (532) mobile
Web site
twitter.com/yitopcu
address

17. Professor at Industrial Engineering department of ITU (2011)
Associate Professorship in Operations Research (2005)
Ph.D. in ITU Engineering Management programme (2000)
Integrated decision aid model for multi-attribute problem solving
Ph.D. research at Centre for Decision Research of Leeds University Business School ( )
Research interests
Decision Analysis, Multi Criteria Decision Making, Group Decision Making
Operations Research / Management Science
Logistics Management, Ethics in OR, Business Ethics, Transp’n, Energy, Bidding and Tender Systems, Scheduling