Operations Research II Dr Y İlker TOPCU wwwilkertopcu net www ilkertopcu org www ilkertopcu info facebookcom yitopcu twittercom yitopcu instagramcom ID: 623996
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END332E Operations Research II
Dr.
Y. İlker TOPCU
www.ilkertopcu.
net
www.
ilkertopcu
.org
www.
ilkertopcu
.
info
twitter.com/yitopcu
facebook.com/yitopcu
instagram.com/yitopcu
Dr. Özgür KABAK
web.itu.edu.tr/
kabak
/
Slide2Slide3
Credits: 3+0ECTS Credits: 7Type: CompulsoryLanguage: EnglishWeb site: web.itu.edu.tr/
topcuil
/
ya/END332E ninova.itu.edu.tr
Course
InformationSlide4
Integer ProgrammingBranch and Bound / Cutting
Planes
AlgorithmsCombinatorial OptimizationMulti objective decision making (Goal
P
rogramming)Non-Linear ProgrammingInterior point algorithmsDynamic Programming
Course
descriptionSlide5
To use different mathematical modeling techniques utilizing Operations
Research
(
OR) methodologyTo learn various methods that are used for quantitative decision making
To find
optimal solutions to problemsCourse
objectivesSlide6
Students who pass the course will gainability to
formulate
and solve Integer Programming problems
insight
in Combinatorial Optimizationinsight in Multi Objective Decision
Making (
Goal
Programming)
ability to formulate and solve Non-Linear Programming problemsability to formulate and solve Dynamic Programming problems
Course
learning
outcomesSlide7
Relationship between the course and Industrial Engineering curriculum
1:
Little
, 2. Partial, 3. FullSlide8
Text bookWinston W.L. (2004) “Operations
Research
: Applications and Algorithms”, Brooks/Cole –
Thomson
Learning Web site of the
course
Up
-to-date lecture notes and supplementsSolutions to exams and homeworkPrevious exam questions
Books
“
Operations
Research
”, "Practical Management Science", "Introduction to Management Science“, "Quantitative Analysis for Management”, "Optimization in Operations Research", "Introduction to Mathematical Programming“Online courses, video recordings, and web sites of other courses
ReferencesSlide9
Pop quizzes 10%2 Homework 20%2 Midterm exams 30%
Final exam 40%
AssessmentSlide10
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 (out of 110)One of your HW assignment
g
rades must be more than 50 (out of 120)
If your
final
exam
grade is less than 30 (out of 110)or if your average grade is less than 40 (out of 113),you will receive a letter grade FFThresholdsSlide11
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
to submit
homework
assignments. You may submit a unique report for your group (of course plagiarism among assignment groups is strictly forbidden).Cheating and PlagiarismSlide12
Pop quizzesA certain number of pop quizzesIndividual assignmentOnline
via
Ninova
Duration: 10-15 minutesAt the end of any classTopics covered at that particular class Slide13
HomeworkGroup assignment (max. 3
students
)Distributed and collected via Ninova by RA/TA’s.Duration: 2 weeksHW1
Integer
Programming Dates: Nov. 9 – Nov. 23
HW2
NLP, Interior Point algorithms
Dates: Dec.
28 – Jan. 11Slide14
Midterm ExamsIndividual assignmentOnline via Ninova and ZoomDuration: 9
0-1
20
minutesMidterm Exam 1 Topics covered in the first 6 weeks Date: November 30Midterm Exam 2Topics covered after the 7th week
Date: January 18Slide15
Final ExamIndividual assignmentOnline via Ninova and Zoom (unless o/w stated)
Duration: 9
0-1
20 minutesAll topics coveredDate: TBASlide16
ScheduleSlide17
Assoc. Prof. Dr. Özgür KabakOffice address
???
Phone(212) 293 1300 /2073 secretary Web siteweb.itu.edu.tr/
kabak
/E-mail addresskabak@itu.edu.tr Slide18
Assoc. Prof. at Industrial Engineering department
of ITU
(2015)
Post-doc studies at Belgium Nuclear Research Centre (SCK.CEN) (2009-2010)
A
fuzzy multi attribute decision
making
approach for nuclear safeguards information managementPh.D. in ITU Industrial Engineering programme (2008)Modeling supply chain network using possibilistic
linear
programming
and an
application
Research interestsOperations Research (Mathematical programming)Supply chain managementFuzzy decision makingSlide19
Prof. Dr. Y. İlker TopcuOffice address
???
Phone(532) 355 5045 mobile Web sitewww.ilkertopcu.
net
, www.ilkertopcu.org, www.ilkertopcu.info
twitter.com/yitopcu
,
facebook.com/yitopcu
, instagram.com/yitopcuE-mail addressilker.topcu@itu.edu.tr Slide20
Professor at Industrial Engineering department, ITU (2011- )Visiting Professor at The Joseph M. Katz Graduate School of
Business, University of Pittsburgh (2018-2019)
Ph.D. in ITU Engineering Management program (2000)
Visiting Researcher at Centre for Decision Research of Leeds University Business School (1998-1999)Research interestsDecision Analysis, Multi Criteria Decision Making, Group Decision MakingOperations Research / Management Science
Logistics Management, Ethics in OR, Business Ethics,
Transp’n, Energy, Bidding and Tender Systems, Scheduling