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BLG 368E Operations Research I
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  1. BLG 368EOperations 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 utilizingOperations 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 Midterm exam 2 • 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

  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) 328 10 44 Text Book : https://www.dropbox.com/s/ayxamvzfeczx7m7/%5BWayne_L._Winston%5D_Operations_Research_Applicatio.pdf E-mail address ali@goksungur.net

  14. Dr. Ali Evren Göksungur, ComputerEngineering, İTÜ (2014). • chooseclick.com (2013- 2014) • Zorlu Holding , Vestel , (2009 – 2012) • IBM TURK , Asset Manager (2006 – 2008) • T-SystemsTurkey , GermanTelecom (2003-2006) • Sanko Holding , SystemEngineer (2002-2003) • Marmara University , Phd , OperationResearch (2004 – 2008 ) • Marmara University , Master’sDegree , OperationResearch (2002-2004) • ComputerEngineering , E.M.U , (1997– 2001)