Ardor & Facktor
Hey Facktor, I’ve been looking at elevator wait times and think we could model traffic patterns to cut wait times by a measurable margin. What do you think about a data‑driven optimization of elevator dispatch algorithms?
Sure, let’s start by logging every call, timing the intervals, and building a queue model. From there we can simulate different dispatch heuristics, compare mean wait times, and adjust weights until we hit a statistically significant improvement. Just keep the data clean and the assumptions explicit.
Sounds solid. Make sure the logging captures passenger start and destination floors, and log any anomalies—like service calls during maintenance. We’ll define clear KPIs: mean wait, 90th percentile wait, and energy per passenger. If we can drop the mean by 20% and keep the 90th percentile under 30 seconds, that’s a win. Let’s start the data collection and set up a quick dashboard for real‑time monitoring.