Comandei: Service Management System for Restaurants
Abstract
This paper presents the development of Comandei, a management system for restaurant service, designed to organize waitstaff tasks efficiently. Given the growing complexity of operations, there is a need for a solution that supports efficient order control. The system aims to provide a digital tool that optimizes workflow and improves the service experience. It was developed in Java using data structures such as lists and priority queues, following the MVC architecture. The graphical interface was created with JavaFX, and data is stored in JSON files, ensuring flexibility and organization in the service environment.
References
Consumer. (2025). Sistema Consumer: gestão para bares e restaurantes. Disponível em: [link]. Acesso em: 8 set. 2025.
Flores, G. M. e Silva R. F. (2022). Sistema de gerenciamento de comandas e mesas. Trabalho de Conclusão de Curso (Graduação em Sistemas de Informação), Universidade Franciscana (UFN), Santa Maria, RS.
Gawaran, A. K. and et al. (2023). Transforming Dining with Real-time Innovation in Quick-service Restaurant Experience. In: 2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), Coron, Palawan, Philippines, 2023, pp. 1-4, DOI: 10.1109/HNICEM60674.2023.10589226.
Google. (2025). Gson: Java library for JSON serialization and deserialization. Disponível em: [link]. Acesso em: 8 set. 2025.
Lee, J., Namkoong, H. and Zeng, Y. (2024). Design and Scheduling of an AI-based Queueing System. arXiv preprint arXiv:2406.06855. DOI: 10.48550/arXiv.2406.06855.
Oracle. (2025). JavaFX Documentation. Disponível em: [link]. Acesso em: 8 set. 2025
Santos, J. B., Buna, J. C. N., Vieira, S. H. da R. e Correia, J. C. (2025). Transformação Digital na Gastronomia: Estudo do sistema informatizado em restaurante na capital São Luís-MA. Revista Tópicos de Ciências Sociais Aplicadas. DOI: 10.5281/zenodo.14969054.
Yahyaai, A. A., Bulashi, N. A, AlSideiri, A., Balushi S. A., Shamsi, A. A. and Omer, M. W. (2024). Quickserve: A Mobile App for Enhancing Restaurant Efficiency. In: 2024 2nd International Conference on Computing and Data Analytics (ICCDA), Shinas, Oman, pp. 1-5, DOI: 10.1109/ICCDA64887.2024.10867394.
