|
|
|
|
|
by Buttons840
857 days ago
|
|
Why is the generated schedule so bad that it requires a couple dozen hours to fix? Does the schedule produced fail to meet the defined constraints? Or is it because some of the constraints have not been entered into the computer? Scheduling is NP complete, but the problems are small enough that I think computers can trivially find near optimal solutions, given some scoring function, better than a human can. Why doesn't this happen? Is defining the scoring function too hard? Am I wrong about computer's solving abilities? Language models have proven themselves reliable with natural speech and highly technical speech (like code), they could help make entering the constraints more approachable. Also, as my example demonstrates, if such a system fails occasionally, it's not worse than the status quo. |
|
Stereotypical discussion with customers after a "bad" scheduling result: "Hey, why did your system not schedule Dave to do any of these jobs? All others are at 100% already, but he has nothing to do." "The job all need a Fubar cert, Dave doesn't have one." "Of course he has a Fubar cert." "Not according to the system." "Oh, we probably forgot it, because all schedulers know it anyway."