Engineering Large Event Catering Services

Kai Wen Tien, Vittaldas V. Prabhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In the United States, catering services constitute about $8.6 billion annually. The main objective in managing large catered events is centered around ensuring good customer satisfaction while minimizing food wastage. Achieving this management objective is challenging because of some of the key characteristics of such service systems such as long setup time, time-varying demand, and complex customer food preferences. Industry practice heavily relies on the experience of individuals with little use of model-driven decision-making for planning such events. This paper takes a service system engineering approach for event catering by developing an analytical framework for decision-making by event planners to determine kitchen capacity, temporary storage capacity for warmers, and staffing level for buffet service. The proposed model is distribution-free and provides intuitive visualization for decision-making. As a practical case study, the model is applied to a large catered event with an attendance of about 10,000 over three hours.

Original languageEnglish (US)
Title of host publicationAdvances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings
EditorsAlexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages9
ISBN (Print)9783030859053
StatePublished - 2021
EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 - Nantes, France
Duration: Sep 5 2021Sep 9 2021

Publication series

NameIFIP Advances in Information and Communication Technology
Volume632 IFIP
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X


ConferenceIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management


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