4 Course descriptionDecision making, Model building, Modeling philosophyLinear programmingGraphical solution, Simplex algorithm, M method, Two phase simplex, Dual simplex, Revised simplexLindo and Excel solver, GAMSDuality, Sensitivity analysis, Complementary slacknessTransportation models and solving methods, Transshipment, AssignmentNetwork modelsProject management
5 Course objectivesTo use different mathematical modeling techniques utilizing Operations Research (OR) methodologyTo learn various methods that are used for quantitative decision makingTo find optimal solutions to problems
6 Course learning outcomes Students who pass the course will be able touse different mathematical modeling techniquessolve a problem modeled with LPcomprehend the solution of an LP modelunderstand the sensitivity of a solution to the changes at the parameters of the problemuse some computer software to model, solve and analyze a linear modelidentify whether a solution is optimal or notsolve and analyze transportation and assignment problems with related methods
7 Relationship between the course and Industrial Engineering curriculum 1: Little, 2. Partial, 3. Full
8 ReferencesText bookWinston W.L. (2004) “Operations Research: Applications and Algorithms”, Brooks/Cole – Thomson LearningWeb site of the courseUp-to-date lecture notes and supplementsSolutions to exams and homeworkPrevious exam questionsBooks“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
9 Assessment Criteria Final exam (40%), 2 Midterm exams (40%), 3 Assignments (20%)All exams will be “open book”If your final exam grade is less than 30 or if your average grade is less than 40, you will receive a letter grade FFIf you do not complete the following requirements, you will receive a letter grade VF:One of your midterm exam grades must be more than 30One of your HW grades must be more than 50
10 Exams Midterm exam 1 Topics covered in the first six weeks October 21, 6:00 pmMidterm exam 2Topics covered after week sevenDecember 9, 6:00 pmFinal examAll topics
12 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).
14 Asst. Prof. Dr. Özgür Kabak Office addressManagement Faculty A311, Maçka, IstanbulPhone(212) /2039 office /2073 secretaryWeb siteweb.itu.edu.tr/kabak/address
15 Asst. Prof. at Industrial Engineering department of ITU (2011) Post-doc studies at Belgium Nuclear Research Centre (SCK.CEN) ( )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 applicationResearch interestsOperations Research (Mathematical programming)Supply chain managementFuzzy decision making
16 Prof. Dr. Y. İlker Topcu Office address Management Faculty C301, Maçka, IstanbulPhone(212) /2069 office (532) mobileWeb sitetwitter.com/yitopcuaddress
17 Professor at Industrial Engineering department of ITU (2011) Associate Professorship in Operations Research (2005)Ph.D. in ITU Engineering Management programme (2000)Integrated decision aid model for multi-attribute problem solvingPh.D. research at Centre for Decision Research of Leeds University Business School ( )Research interestsDecision Analysis, Multi Criteria Decision Making, Group Decision MakingOperations Research / Management ScienceLogistics Management, Ethics in OR, Business Ethics, Transp’n, Energy, Bidding and Tender Systems, Scheduling
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