Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/63840
Title: Modeling no-shows, cancellations, overbooking, and walk-ins in restaurant revenue management
Authors: Tse, TSM 
Poon, YT
Keywords: Cancellations
No-shows
Overbooking
Restaurant revenue management
Walk-ins
Issue Date: 2016
Publisher: Taylor & Francis
Source: Journal of foodservice business research, 2016, p. 1-19 How to cite?
Journal: Journal of foodservice business research 
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.
URI: http://hdl.handle.net/10397/63840
ISSN: 1537-8020 (print)
1537-8039 (online)
DOI: 10.1080/15378020.2016.1198626
Appears in Collections:Journal/Magazine Article

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