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END332E END332E

END332E - PowerPoint Presentation

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END332E - PPT Presentation

Operations Research II Dr Y İlker TOPCU wwwilkertopcu net www ilkertopcu org www ilkertopcu info facebookcom yitopcu twittercom yitopcu instagramcom ID: 623996

decision research programming itu research decision itu programming operations exam management www ilkertopcu web making multi yitopcu grade engineering

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Slide1

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

/

Slide2
Slide3

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

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