The manager of a large hotel in the city center has to decide if 60 more reservations to accept or not. If they accept, they will be overbooked and certain costs when people show up with all reservation. The manager must forecast based on historical data, is how many people keep the show reservations, and then decide, after considering the costs involved, it had to take additional bookings. The housing can be used in a class of seasonality and the exponential smoothing … Read more »

The manager of a large hotel in the city center has to decide if 60 more reservations to accept or not. If they accept, they will be overbooked and certain costs when people show up with all reservation. The manager must forecast based on historical data, is how many people keep the show reservations, and then decide, after considering the costs involved, it had to take additional bookings. The housing can be used in a class on seasonality and exponential smoothing in time series forecasting.
This is a Darden case study.
«Hide

from
Samuel E Bodily
Source: Darden School of Business
6 pages.
Release Date: 08 April, 1991. Prod #: UV0353-PDF-ENG
Marriott room Forecasting HBR case solution