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Systems Optimization >> Content Detail

Study Materials

Readings

The texts Decision Modeling with Microsoft Excel, Sixth Edition, by Moore, Weatherford, Eppen, Gould and Schmidt, Prentice Hall and AMPL A Modeling Language For Mathematical Programming, by Fourer, Gay, Kernighan, Boyd & Fraser, are useful references both for the course material and the modeling tools we will rely on. We will provide additional material as the course progresses.


LEC #	TOPICS	READINGS


1	Introduction	Chapters 1 & 2 of Moore et al.


2	Network Models: Assignment & Transportation	Sect. 5.1-5.4 of Moore et al.


3	Network Models: Shortest Path & Transshipment	Sect. 5.10-14 of Moore et al. Sect. 5.6 of Moore et al. Pages 43-51 of Fourer et al. Scan Chapters 1-8 and 10 of Fourer et al.


4	Introduction to LP	Chapter 3 of Moore et al.


5	Application: Revenue Optimization	Chapter 3 & 5 of Moore et al.


6	Production Planning, Workforce Scheduling.	Chapter 5 of Moore et al.


7	Conflicting Objectives, Robust Optimization.


8	Integer Programming	Chapter 6 of Moore et al. Chapter 20 of Fourer et al.


9	IP Modeling	Chapter 6 of Moore et al.


		Cover Lectures 1 - 9


10	Case Study: Ford Finished Vehicle Delivery


11	Location Models


12	Non-Linear Programming	Chapter 7 of Moore et al. Chapter 18 of Fourer et al.


13	Application Portfolio Optimization	Chapter 7 of Moore et al.


14	Non-Linear Programming	Chapter 7 of Moore et al.


15	Team Presentations


16	Heuristics I


17	Team Presentations


18	Heuristics II


19	Team Presentations


20	Optimization, Heuristics and Uncertainty


21	Team Presentations

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Systems Optimization >> Content Detail

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