Are hotels still relying on average times to make good a room to plan for resource?
How about forecasting time to clean rooms with different messiness levels? Different messiness levels can then be associated with whether customers are business or family, whether there is room service or not, length of stay, etc...
These forecast will then help managers plan resources more accurately. What's more, they can also assign cleaning/chambermaid resources base on profiles of customers to facilitate subsequent cleaning.
The first step would be to collect data to help identify the attributes that determine cleaning time. Perhaps the hotel could classify each guest on several dimensions. Then, the housekeepers could track their time on each room and match it to each dimension.
ReplyDeleteGreat idea Edmund. I’d be interested to know if some hotel chains already do this. I wouldn't put strict quotas on housekeepers though - since there would likely be several messy guests that you couldn't predict.
Alex Fuller
Supply Chain Cowboy
Thank you for the support :) I believe most experienced chambermaids and hotel managers will know the attributes and how it affects the time to clean a room. Stay times, business/leisure, do-not disturb/daily room services data should already be recorded by the hotel. So it should just be coming out with hypothesis and testing it out from regression or other statistical techniques :)
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