1 / 18

END332E Operations Research II

END332E Operations Research II. Y. İlker TOPCU , Ph .D. www.ilkertopcu. net www. ilkertopcu .org www. ilkertopcu . info www. facebook .com/ yitopcu twitter .com/ yitopcu Özgür KABAK, Ph .D. web.itu.edu.tr/ kabak /. Course Information. Credits: 3+0 ECTS Credits: 7

gabby
Download Presentation

END332E Operations Research II

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. END332E OperationsResearch II Y. İlker TOPCU, Ph.D. www.ilkertopcu.netwww.ilkertopcu.orgwww.ilkertopcu.info www.facebook.com/yitopcu twitter.com/yitopcu Özgür KABAK, Ph.D. web.itu.edu.tr/kabak/

  2. Course Information • Credits: 3+0 • ECTS Credits: 7 • Type: Compulsory • Language: English • Web site: web.itu.edu.tr/topcuil/ya/END332E ninova.itu.edu.tr

  3. Coursedescription • Integer Programming • Branch and Bound / CuttingPlanesAlgorithms • CombinatorialOptimization • Multi objective decision making (GoalProgramming) • Multi attribute decision making (SAW, WP, TOPSIS) • Non-Linear Programming • Interior point algorithms • Dynamic Programming

  4. Courseobjectives • To use different mathematical modeling techniques utilizingOperationsResearch (OR) methodology • To learn various methods that are used for quantitative decision making • To find optimal solutions to problems

  5. Courselearningoutcomes Students who pass the course will gain • abilitytoformulate and solveIntegerProgrammingproblems • insight in CombinatorialOptimization • insight in MultiObjective (GoalProgramming) and MultiAttribute Decision Making • abilitytoformulate and solveNon-LinearProgrammingproblems • abilitytoformulate and solveDynamicProgrammingproblems

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

  7. References Textbook • Winston W.L. (2004) “OperationsResearch: Applications and Algorithms”, Brooks/Cole – ThomsonLearning Web site of thecourse • Up-to-datelecturenotes and supplements • Solutionstoexams and homework • Previousexamquestions Books • “OperationsResearch”, "Practical Management Science", "Introductionto Management Science“, "QuantitativeAnalysisfor Management”,"Optimization in OperationsResearch", "IntroductiontoMathematicalProgramming“ Web sites of othercourses

  8. AssessmentCriteria • Final exam (40%), 2 Midtermexams (40%), 3 Assignments (20%) • Allexamswill be “openbook” • 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

  9. Exams Midtermexam 1 • Topicscovered in thefirstsixweeks • March 26, 6:00 pm Midtermexam 2 • Topicscoveredafterweek seven • May 14, 6:00 pm Final exam • Alltopics

  10. Assignments HW1 • IntegerProgramming • March 5 – March 19 HW2 • Non-linearprogramming, InteriorPointalgorithms • April 9 – April 24 HW3 • DynamicProgramming • April 30 – May 14

  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

  13. ResearchAssistants of the Class Pınar Dursun dursunpinar@yahoo.com Mine Işık mineisikk@gmail.com Özge Sürer ozge.surer@gmail.com

  14. Asst. Prof. Dr. Özgür Kabak Office address Management Faculty A311, Maçka, Istanbul Phone (212) 293 1300  /2039 office   /2073 secretary Web site web.itu.edu.tr/kabak/ E-mail address kabak@itu.edu.tr

  15. Asst. Prof. at IndustrialEngineeringdepartment of ITU (2011) • Post-docstudies at Belgium Nuclear Research Centre (SCK.CEN) (2009-2010) • A fuzzymultiattributedecisionmakingapproachfornuclearsafeguardsinformationmanagement • Ph.D. in ITU IndustrialEngineeringprogramme (2008) • Modelingsupplychain network usingpossibilisticlinearprogramming and an application • Researchinterests • OperationsResearch (Mathematicalprogramming) • Supplychainmanagement • Fuzzydecisionmaking

  16. Prof. Dr. Y. İlker Topcu Office address Management Faculty C301, Maçka, Istanbul Phone (212) 293 1300  /2069 office - (532) 355 5045 mobile Web site www.ilkertopcu.net, www.ilkertopcu.org, www.ilkertopcu.info, www.facebook.com/yitopcu, twitter.com/yitopcu E-mail address ilker.topcu@itu.edu.tr

  17. Professor at IndustrialEngineeringdepartment of ITU (2011) • AssociateProfessorship in OperationsResearch (2005) • Ph.D. in ITU Engineering Management programme (2000) • Integrated decision aid model for multi-attribute problem solving • Ph.D. research at Centrefor Decision Research of LeedsUniversityBusinessSchool (1998-1999) • Researchinterests • Decision Analysis, MultiCriteria Decision Making, Group Decision Making • OperationsResearch / Management Science • Logistics Management, Ethics in OR, Business Ethics,Transp’n, Energy, Bidding and Tender Systems, Scheduling

More Related