presents a half-day workshop on
Speakers
and
Dr Natashia Boland
University of Melbourne
on
Wednesday, December 6 1995
at
University of Melbourne
Decision-making problems occur at all levels of business planning, from long-term strategic planning to the scheduling of day-to-day operations. The list above includes just a few of the decision-making problems that can be attacked as mixed integer optimization problems.
This course will inform business managers, planners, analysts and researchers about the power of mixed integer optimization techniques and help them to develop their ability to apply these techniques to their own decision-making problems. It is an expository course on modelling and solving decision-making problems, featuring:
In the last decade, advances in methods and computer technology, have enabled industrial problems with more than a million variables and thousands of constraints to be solved routinely. Moreover, these advances have been incorporated in commercially inexpensive software that is readily available and easy to use.
The course will provide an understanding of the tools that can be brought to bear on mixed integer optimization problems, and a knowledge of the most appropriate use of these tools. The course will be accessible to persons having taken an introductory level of either mathematics or operations research as part of their tertiary studies. A working knowledge of linear programming is desirable.
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Mixed Integer Programming Models
Formulation
Applications and Case Studies
Lecture 2:
2:50 - 4:00 PM
Applying Optimization Software
Lecture 3:
4:20 - 5:30 PM
Solution Techniques
Branch-and-bound Using Linear Relaxation
Preprocessing
Constraint Generation
Branching
Dinner
6:00-7:00PM
Panel Discussion
7:00-8:30PM
Venue
The workshop will be held at
CRA Theatre
Melbourne Business School
University of Melbourne
200 Leicester Street
Carlton 3053
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Return with payment by December 1, 1995
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Dr Natashia Boland Back to front
About the SpeakersProfessor George L. Nemhauser Professor George L. Nemhauser is well-known as one of the founders of the discipline of Operations Research and as an international expert in both the theory and application of Operations Research techniques. He has been instrumental in translating advances in Operations Research methods into tools for industry, which in many cases have enabled companies to save millions of dollars. Professor George L. Nemhauser is the A. Russell Chandler Professor in the School of Industrial and Systems Engineering at the Georgia Institute of Technology, and is also co-director of The Logistics Institute. Prior to his appointment at Georgia Tech, he spent 15 years as Professor of Operations Research and Industrial Engineering at Cornell University. He held a visiting faculty position at the University of Louvain, Belgium, where he was Research Director of the Center for Operations Research and Econometrics for 2 years. He began his academic career on the faculty of the Johns Hopkins University in Operations Research and Industrial Engineering in 1961. His principal research interests are in the area of discrete optimization. He is the author of 3 books and more than 80 papers. He has supervised nearly 30 doctoral dissertations. His current interests are in solving large-scale mixed integer programming problems and he is actively working on several applications, especially crew and fleet scheduling problems in the airline industry. He is one of the developers of MINTO, a software system for solving mixed integer programs. He has served the Operations Research Society of America (ORSA) as Council Member, President and Editor of Operations Research. He is the founding and current Editor of Operations Research Letters. He is co-editor of Handbooks of Operations Research and Management Science. He is the Past Chairman of the Mathematical Programming Society. His honours and awards include membership in the National Academy of Engineering, the Kimball medal of ORSA, and Morse lecturer of ORSA. He received 3 awards for outstanding teaching at Johns Hopkins. He remains the only person to twice win the Lanchester prize of ORSA for the best paper in Operations Research. Dr Natashia Boland Natashia Boland is a lecturer in Mathematics at the University of Melbourne, a position she commenced in early 1995, after returning from 2 years overseas. She spent those years undertaking postdoctoral research in the Department of Combinatorics and Optimization at the University of Waterloo, and then in the School of Industrial and Systems Engineering at the Georgia Institute of Technology, where she worked with Professor Nemhauser. She has several years of teaching experience, including experience as an instructor for industry workshops, and was recently awarded a student prize for seminar presentation. Her involvement in combinatorial optimization and integer programming began while working with industry in 1992 on air crew scheduling problems. She has worked on a variety of industrial applications including facility location problems, vehicle routing and aircraft rotation problems.
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