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Title: Modeling no-shows, cancellations, overbooking, and walk-ins in restaurant revenue management
Authors: Tse, TSM 
Poon, YT
Issue Date: 2017
Source: Journal of foodservice business research, 2017, v. 20, no. 2, p. 127-145
Abstract: Few studies have examined overbooking in the restaurant industry. The authors observed the business situation in a restaurant in Hong Kong over 2 years, noted how demand exceeded supply on a regular basis, and analyzed the reservation data. The reservation data were used to estimate the no-show/cancellation probability and walk-ins for lunch and dinner on different days of the week, to illustrate the model, and to arrive at the optimal booking limits. A conceptual model was developed which would take into consideration the business situation, no-shows, cancellations, and walk-ins to determine the booking limit for maximizing the expected total revenue.
Keywords: Cancellations
No-shows
Overbooking
Restaurant revenue management
Walk-ins
Publisher: Taylor & Francis
Journal: Journal of foodservice business research 
ISSN: 1537-8020
EISSN: 1537-8039
DOI: 10.1080/15378020.2016.1198626
Rights: © 2017 Taylor & Francis
This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Foodservice Business Research on 29 Jun 2016 (published online), available at: http://www.tandfonline.com/10.1080/15378020.2016.1198626.
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