Intro to Systems Optimization John Vande Vate 15
- Slides: 14
Intro to Systems Optimization John Vande Vate 15. 057 Spring 03 Vande Vate 1
Our Focus Broadly n Application of mathematical analysis to the design and analysis of systems through the intermediary of abstract models. 15. 057 Spring 03 Vande Vate 2
Who am I? n John Vande Vate ► Ph. D from MIT ► Professor in School of Industrial & Sys. Eng at Georgia Institute of Technology ► President of Tech. Logistics. TM, LLC ► Executive Director of EMIL (Executive Master’s in International Logistics) 15. 057 Spring 03 Vande Vate 3
Teaching Experience n Georgia Tech ► ISy. E: BS, MS, Ph. D and Executive ► Mgmt: Executive n MIT ► This course last year: Everyone got out alive! n CMU ► MBA n Shanghai Institute of Mechanical Engineering ► MBA 15. 057 Spring 03 Vande Vate 4
Industrial Experience n Over 20 years ► Worked with J. F. Shapiro through grad school n Bank of Boston n International Paper n Unilever n… ► Independent consulting n Ford n Smith. Kline Beecham n Wyeth Ayerst Labs n Rock. Tenn n. Burger King n. Milliken n. Sabre n. Scientific Atlanta n. . . 15. 057 Spring 03 Vande Vate 5
Course Organization n Pedagogical Axis ► Networks ► Linear Programming ► Integer Programming ► Non-Linear Programming ► Heuristics n Increasing complexity n Increasing power 15. 057 Spring 03 Vande Vate 6
Course Organization n Tools & Texts Axis ►Excel Solver & Eppen et al. ►Familiar medium ►Firm foundation n AMPL & Fourer et al. ►Industrial standard ►Real potential 15. 057 Spring 03 Vande Vate 7
Course Schedule n Start with Mini Course on Networks ►Structured special class ►Easy to visualize ►Illustrate General Concepts n. Solution techniques n. Sensitivity analysis ►Intuitive development in higher dimensions ►Methods in texts are misleading too 15. 057 Spring 03 Vande Vate 8
Group Work n Teams of 4 or 5 n Every team must include BOTH oncampus and off-campus participants n Teams work on ►Course Project ►Challenge Topics 15. 057 Spring 03 Vande Vate 9
Challenge Topics n Network Modeling Challenge: Extraterrestrial Optimization n LP Modeling Challenge: Financial Optimization n IP Modeling Challenge: Smelly Optimization n Modeling Challenge IV: TBA 15. 057 Spring 03 Vande Vate 10
Grades n Exam 1 25% n Exam 2 (Final) 25% n Challenges: 25% n Course Project: 25% 15. 057 Spring 03 Vande Vate 11
Install Solver Add-In n Tools |Add-Ins ►Select Solver Add-in n May require installing components n Method 1 ►With install cd n Method 2 ►Copy solver. xla and solver 32. dll to. . Microsoft OfficeLibrarySolver 15. 057 Spring 03 Vande Vate 12
Install Premium Solver n Must have Solver installed n CD that accompanies Moore et al. n htmlPremium. Solver n execute Prem. Solv. EXE n Not absolutely necessary, but recommended. 15. 057 Spring 03 Vande Vate 13
Bring your laptop to class n We will do lots of hands-on modeling n Thursday: ► 01 Assignment. Model. xls ► 02 Transportation. Model. xls 15. 057 Spring 03 Vande Vate 14
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