Cabin Revenue Model (J / W / Y)

Flights per year

Model Type

Uses Normal distribution with K-factors for demand variability.

K-Factors (Demand Variability)

K-factor controls demand variability: σ = K × mean. Higher K means more spill even when mean demand is below capacity.

Different fares per config

Enable for different seat products

Business (J)

Demand (pax)

Avg fare ($)

Premium Economy (W)

Demand (pax)

Avg fare ($)

Economy (Y)

Demand (pax)

Avg fare ($)

Config A

Seats J

Seats W

Seats Y

Total Seats190

Config B

Seats J

Seats W

Seats Y

Total Seats190

Marginal Revenue Factor

Load Factor Cap

J Spill Recapture

→ W same flight

→ Y same flight

→ J other flights

W Spill Recapture

→ Y same flight

→ W other flights

Y Spill Recapture

→ Y other flights

Any remaining spill after these fractions is treated as lost to competitors or abandoned demand.

Set your demand, fares, recapture and seat layouts,

then click 'Run model' to compare revenue and spill.