| |
Some Keys to Success for Optimization Modeling
Abstract:
Practical optimization applications continue to be bigger, more complex, closer to
real-time, less dependent on OR gurus, and more depended upon by organizations of all
kinds. We have many great researchers and commerical implementers to thank for the
remarkable advances in computers and solvers that make this possible, but there is
another big part of the story, which is sometimes overlooked: good modeling practice.
This talk will recommend some keys to successful optimization modeling.
- Ten Keys to Success in Optimization Modeling
- Theme
- Theme (continued)
- Acknowledgements
- Can You Teach Modeling?
- Key #1: Communicate Early and Often
- Mathematical Formulation
- Verbal Description of Formulation
- Non-mathematical Executive Summary
- Refining Your Executive Summary
- Non-mathematical Executive Summary
- Key #2: Bound all Decisions
- Bound all Decisions
- Bound all Decisions
- Key #3: Expect any Constraint to Become an Objective, and Vice Versa
- Key #4: Sensitivity Analysis in the Real World Is Nothing Like Textbook SA
- LP Sensitivity, Practitioner Style
- Sensitivity Analysis, Practitioner Style
- Forget Textbook Sensitivity Analysis, Plan on Lots of Model Excursions
- Key #5: Bound the Dual Variables
- Key #6: Model Robustly
- Model Robustly
- Key #7: Eliminate Lots of Variables
- Example 1 of Variable Elimination
- Example 2 of Variable Elimination
- Eliminate Lots of Variables
- Eliminate Lots of Variables
- Key #8: Incremental Implementation
- Incremental Implementation
- Key #9: Persistence
- Illustration of Persistence
- Illustration of Persistence
- Illustration of Persistence
- Illustration of Persistence
- Illustration of Persistence
- Illustration of Persistence
- Persistence
- Key #10: Common Sense
- Common Sense
- Common Sense
- Common Sense
- 10 Keys to Success in Optimization Modeling
- PPT Slide
- Questions and Comments?
|