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Intro to Systems Optimization

Intro to Systems Optimization. John Vande Vate. Our Focus Broadly. Application of mathematical analysis to the design and analysis of systems through the intermediary of abstract models. Who am I?. John Vande Vate PhD from MIT

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Intro to Systems Optimization

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  1. Intro to Systems Optimization John Vande Vate 15.057 Spring 03 Vande Vate

  2. Our Focus Broadly • Application of mathematical analysis to the design and analysis of systems through the intermediary of abstract models. 15.057 Spring 03 Vande Vate

  3. Who am I? • John Vande Vate • PhD from MIT • Professor in School of Industrial & Sys. Eng at Georgia Institute of Technology • President of TechLogisticsTM, LLC • Executive Director of EMIL (Executive Master’s in International Logistics) 15.057 Spring 03 Vande Vate

  4. Teaching Experience • Georgia Tech • ISyE: BS, MS, PhD and Executive • Mgmt: Executive • MIT • This course last year: Everyone got out alive! • CMU • MBA • Shanghai Institute of Mechanical Engineering • MBA 15.057 Spring 03 Vande Vate

  5. Industrial Experience • Over 20 years • Worked with J.F. Shapiro through grad school • Bank of Boston • International Paper • Unilever • … • Independent consulting • Ford • SmithKline Beecham • Wyeth Ayerst Labs • RockTenn • Burger King • Milliken • Sabre • Scientific Atlanta • ... 15.057 Spring 03 Vande Vate

  6. Course Organization • Pedagogical Axis • Networks • Linear Programming • Integer Programming • Non-Linear Programming • Heuristics • Increasing complexity • Increasing power 15.057 Spring 03 Vande Vate

  7. Course Organization • Tools & Texts Axis • Excel Solver & Eppen et al. • Familiar medium • Firm foundation • AMPL & Fourer et al. • Industrial standard • Real potential 15.057 Spring 03 Vande Vate

  8. Course Schedule • Start with Mini Course on Networks • Structured special class • Easy to visualize • Illustrate General Concepts • Solution techniques • Sensitivity analysis • Intuitive development in higher dimensions • Methods in texts are misleading too 15.057 Spring 03 Vande Vate

  9. Group Work • Teams of 4 or 5 • Every team must include BOTH on-campus and off-campus participants • Teams work on • Course Project • Challenge Topics 15.057 Spring 03 Vande Vate

  10. Challenge Topics • Network Modeling Challenge: Extraterrestrial Optimization • LP Modeling Challenge: Financial Optimization • IP Modeling Challenge: Smelly Optimization • Modeling Challenge IV: TBA 15.057 Spring 03 Vande Vate

  11. Grades • Exam 1 25% • Exam 2 (Final) 25% • Challenges: 25% • Course Project: 25% 15.057 Spring 03 Vande Vate

  12. Install Solver Add-In • Tools |Add-Ins • Select Solver Add-in • May require installing components • Method 1 • With install cd • Method 2 • Copy solver.xla and solver32.dllto..\Microsoft Office\Office\Library\Solver\ 15.057 Spring 03 Vande Vate

  13. Install Premium Solver • Must have Solver installed • CD that accompanies Moore et al. • \html\PremiumSolver • execute PremSolv.EXE • Not absolutely necessary, but recommended. 15.057 Spring 03 Vande Vate

  14. Bring your laptop to class • We will do lots of hands-on modeling • Thursday: • 01AssignmentModel.xls • 02TransportationModel.xls 15.057 Spring 03 Vande Vate

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