1. BLG 368E Operations Research I
Dr. Ali Evren Goksungur
Phd, Operation Research

2. Course Information Operation Research Basics of Operation Research
Decision Making
Mathematical Models
Language : English

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

4. 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

5. 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

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

7. References
Text book
Winston W.L. (2004) “Operations Research: Applications and Algorithms”, Brooks/Cole – Thomson Learning
Course Documents
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 related with Operation Research

8. Assessment Criteria 2 Midterm exams (25 % + 25 %)
Assignment or Project (10%)
Final exam (40%)

9. Exams Midterm exam 1 Topics covered in the first six weeks
Topics covered after week seven
Final exam
All topics

10. Assignments HW
Modeling
Solution

11. 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).

12. Schedule W1 Introduction to OR, Basic Concepts, Int. To LP, Modeling
Modeling (ctd.), Graphical solution W3
Simplex Algorithm, The Big M Method W4
Software Packages W5
Two Phase Simplex, URS variables, Reduced Cost-Shadow Price W6
PROBLEM SOLVING
MIDTERM EXAM I W7
Sensitivity Analysis, Duality W8
Duality and Sensitivity, Complementary Slackness, Dual Simplex W9
Revised Simplex, Utilizing Simplex for Sensitivity
W10
Formulating Transportation Problems, Finding Basic Feasible Sol’n
W11
Transp’n Simplex Method, Transshipment & Assignment Problems
W12
Introduction to Network Models, CPM-PERT
W13
MIDTERM EXAM II (18:00)

13. Dr. Ali Evren Göksungur Office address İTÜ Teknogirişim Atölyesi ,
Vadi Öğrenci Yurtları Karşısı , Vadi Blokları
A2 BLOK , Ofis No : 108 , Maslak – İstanbul
Phone
(212)
Text Book :
address

14. Dr. Ali Evren Göksungur, Computer Engineering, İTÜ (2014).
chooseclick.com ( )
Zorlu Holding , Vestel , (2009 – 2012)
IBM TURK , Asset Manager (2006 – 2008)
T-Systems Turkey , German Telecom ( )
Sanko Holding , System Engineer ( )
Marmara University , Phd , Operation Research (2004 – 2008 )
Marmara University , Master’s Degree , Operation Research ( )
Computer Engineering , E.M.U , (1997– 2001)