Building optimal scheduling models is difficult. Spending months developing the perfect optimal scheduling model by defining the problem, collecting the data, refining the model, enhancing the user interface and including customer feedback and then …
This summer, amidst the whirlwind of travel, I found time to revisit a topic close to my heart: the challenge of getting people to adopt and utilize analytical models. Dr. Wilson Price and I co-authored a chapter on this very subject in the first edition of a book, and I recently updated it for the second edition.