SkyCon simulates worker and hoist traffic on high-rise construction sites, so congestion shows up in a report during planning — not on-site, three months into the build.
Talk about a pilot study →Take a 100-worker crew on a high-rise site. Simulate their day with just one elevator serving the floors, then simulate the exact same crew and floors with five. Nothing else changes. Here is the wait each crew member faces at the busiest part of the shift:
Wait time here is P90 — the wait that 9 of 10 elevator trips stay under. It measures the bad moments at shift peaks, not the comfortable average. A 23-minute P90 means crews routinely lose that time queueing for a ride.
Give it the takt plan and elevator/hoist setup you already use for planning.
Every worker's floor-to-floor journey and every hoist's dispatch is modelled across the whole shift.
Wait times, the floors that choke, and how many hoists it actually takes to fix them.
The engine is benchmarked against three peer-reviewed studies of real high-rise construction sites — Park et al. (2013), Jung et al. (2017) and Xiang et al. (2016).
Average worker wait time on a published downpeak benchmark. This is the metric that says the simulation reflects reality — the finding above is what it then lets you explore.
SkyCon grew out of doctoral research I began at Aalto University, developing simulation models for vertical logistics in high-rise construction. It's calibrated with real construction project data and benchmarked against three peer-reviewed studies.
This isn't a decades-old consultancy — it's a rigorously validated model built by someone who cares about getting the numbers right, and won't put a figure in front of you that the method can't stand behind. I'm now looking for a small number of live projects to pressure-test it on.
Send over a takt schedule and hoist setup and I'll run it. Happy to walk through what it finds on a short call first.
hello@skycon-planner.com