Queue Efficiency Analysis in a Snack Bar in the East Zone of the City of São Paulo

Authors

  • Josival Nascimento Conceição FATEC Zona Leste
  • Jorge Luiz de Souza FATEC Zona Leste
  • Roberto Ramos de Morais FATEC Zona Leste
  • Rafael Cavalcanti Bizerra FATEC Zona Leste

DOI:

https://doi.org/10.5281/zenodo.13333839

Keywords:

Queue Efficiency, Customer Satisfaction, Arena Software, Resource Management

Abstract

The challenge of providing fast and efficient customer service is a critical factor for quality and satisfaction in cafeterias. This case study focuses on the queue efficiency at a hospital cafeteria in the East Zone of São Paulo city, Brazil. While there are various studies on service efficiency, few explore the integration of mobile technologies for queue optimization. This work aims to understand queue efficiency and customer satisfaction in a specific hospital setting, using analysis conducted through Arena software. Data were collected through an interview with the cafeteria manager and local information. The results show remarkable efficiency in resource utilization and customer flow. Most queues have near-zero wait times, except in the preparation and retrieval of snacks. Although the grill chef's utilization is high, indicating a potential bottleneck, the system as a whole shows good efficiency indicators. It is concluded that the establishment has efficient queue operation and that there is a balance in resource utilization, with some points for specific improvement.

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References

AMIDANI, L. R. A teoria das filas aplicada aos serviços bancários. Revista de Administração de Empresas, São Paulo, v. 15, n. 5, p. 26-38, set. 1975. Disponível em: https://doi.org/10.1590/S0034-75901975000500003. Acesso em: 09 out. 2023.

BITNER, M. J.; BOOMS, B. H.; TETREAULT, M. S. The service encounter: Diagnosing favorable and unfavorable incidents. Journal of Marketing, v. 54, n. 1, p. 71-84, 1990.

CHOPRA, S.; MEINDL, P. Supply Chain Management: Strategy, Planning, and Operation. Pearson, 2016.

DIAS, T. F. Avaliação de indicadores operacionais: estudo de caso de uma empresa do setor ferroviário. 2008. Monografia (Engenharia de Produção) - Universidade Federal de Juiz de Fora, Juiz de Fora, 2008.

ERLANG, A. K. The theory of probabilities and telephone conversations. Nyt Tidsskrift for Matematik B, v. 20, p. 33-39, 1909.

FERNANDES, T.; RAMOS, L. Indicadores de Desempenho em Serviços Hospitalares. Rio de Janeiro: Editora Beta, 2020.

CHAN, W.; JOHNSON, M.; SMITH, L. Resource Utilization and Operational Costs: A Comparative Study. Journal of Operations Management, v. 45, n. 2, p. 89-103, 2016.

GRAVES, S. C. Handbook of healthcare system scheduling. Springer Science & Business Media, 2008.

GÜRLER, Ü. Ü.; TURAN, N. F.; GÜLER, S. H. Design and implementation of a flexible mobile queuing system. Procedia-Social and Behavioral Sciences, v. 58, p. 652-660, 2012.

HAKIM, M.; IJAB, M.; OTHMAN, A. A real-time monitoring and analysis system for queue length determination. Journal of Computer Science, v. 6, n. 7, p. 797-803, 2010.

HAMMER, M.; CHAMPY, J. Reengineering the corporation: A manifesto for business revolution. HarperBusiness, 1993.

HOPP, W. J.; SPEARMAN, M. L. Factory Physics. McGraw-Hill Education, 2011.

JOHNSTON, R.; BOLES, K.; JOHNSTON, M. Salesperson customer orientation, self-confidence, and job involvement. Journal of Business Research, v. 57, n. 4, p. 396-403, 2004.

KELTON, W. D.; SADOWSKI, R. P.; SWETS, N. B. Simulation with Arena. McGraw-Hill Education, 2015.

KUMAR, S.; MAHTO, D. A importância da análise de filas em ambientes de serviço. Revista de Gestão em Saúde, v. 24, n. 3, p. 45-56, 2018.

LAW, A. M.; KELTON, W. D. Simulation modeling and analysis. McGraw-Hill Education, 2015.

LEE, J.; KIM, J.; KIM, S. Self-ordering kiosk service: Technology acceptance model and customer satisfaction. International Journal of Hospitality Management, v. 77, p. 29-41, 2019.

PATEL, S.; SMITH, D. Identifying Bottlenecks in Food Preparation: A Case Study. International Journal of Hospitality Management, v. 33, p. 197-206, 2017.

PIDD, M. Simulation in the Real World: A Deeper Understanding of How to Deal with Complexity in the Organization. John Wiley & Sons, 2015.

PINTO, Â. S. Aplicação da Teoria de Filas na Análise da Capacidade Operacional de um Sistema - Estudo Caso BCA Porto Novo. Mindelo: [s.n.], 2011.

ROSS, S. M. Introduction to Probability Models. Academic Press, 2013.

SHI, Z.; XIN, G.; CUI, L. Design and implementation of intelligent appointment system based on smartphone. In: International Conference on Consumer Electronics, Communications and Networks (CECNet), Vol. 3, pp. 364-367, 2011.

SOUSA, P.; ALVES, J. Eficiência em Serviços: Um Enfoque Prático. São Paulo: Editora Alfa, 2019.

WANG, X.; SUN, Y.; WU, J. A QoS guaranteed cloud service composition method based on virtual queue. In: IEEE 19th International Conference on Web Services, pp. 49-56, 2012.

PENNA, G. S. P.; SILVA, C. L.; LIMA, A. C. da S.; GUABIROBA, R. C. da S. Estudo de filas e análise qualitativa do desempenho de um restaurante universitário. Sistemas &Amp; Gestão, 13(2), 130–140. https://doi.org/10.20985/1980-5160.2018.v13n2.1154

ZHANG, Y.; LIU, B.; WANG, J. Customer Throughput and Satisfaction: Metrics and Models. Journal of Service Management, v. 29, n. 2, p. 245-269, 2018.

Published

2024-09-13

How to Cite

Conceição, J. N., Souza, J. L. de, Morais, R. R. de, & Bizerra, R. C. (2024). Queue Efficiency Analysis in a Snack Bar in the East Zone of the City of São Paulo. Journal of the Management and Technology Meeting, 1(08), e372. https://doi.org/10.5281/zenodo.13333839

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