HomeMSEUF Research Studiesvol. 21 no. 1 (2024)

Automated Enrollment Queueing System in a University Towards Student Experience and Operational Efficiency

Gervin S. Espinosa | Melissa R. Serrano | Hannah A. Balmes

Discipline: others in engineering

 

Abstract:

This study aims to improve a university’s queuing system by providing an effective enrollment queueing system. Each variable mentioned in this research and its details were accumulated by thoroughly examining the strengths, pitfalls, and blindsides of the existing system in enrollment, thus aiming at a desired output in improving the waiting lines of the students and guardians. The researcher’s primary output is an enrollment Queueing System. The university will have a well-defined and controlled process, specifically in the enrollment queueing system, that will help them achieve customer satisfaction, eliminate overcrowded areas and noise of using microphones and speakers, and eliminate downtime in its process. The study will benefit students, guardians, and the university. They can enroll in the university with less effort of waiting in the windows, reduce the stress of staying in a crowded area, and wait without too much noise from the speaker while the staff calls the names of the students enrolling. The study will help parents enroll their children. The university will have an integrated system after implementing this Enrollment Management System or the Queue System Software, eliminating the long enrollment process queue. It will reduce employees’ workload because it is owing to automation. The university could increase its service time to equal the service that more students or guardians offer. The university provides a more reliable service with the aid of the Queue System Program, which will please every customer.



References:

  1. S. Gavirneni and V. G. Kulkarni, “Self-selecting priority queues with burr distributed waiting costs,” Prod. Oper. Manag., 2016.  
  2. A. P. Kurkovsky and T. G. Mundie, “Simulation of educational process management to support sustainability of an innovative higher education institution,” in Proceedings of the IASTED International Conference on Modelling and Simulation, 2009. 
  3. P. Whiting, “Queuing theory,” in The Cable and Telecommunications Professionals’ Reference: PSTN, IP and Cellular Networks, and Mathematical Techniques, 2012.  
  4. K. S. Trivedi, Probability and Statistics with Reliability, Queuing and Computer Science Applications. 2016. 
  5. N. Madadi, A. H. Roudsari, K. Y. Wong, and M. R. Galankashi, “Modeling and simulation  of a bank queuing system,” in Proceedings of International Conference on Computational Intelligence, Modelling and Simulation, 2013.  
  6. M. N. Uddin et al., “Automated Queue Management System,” Glob. J. Manag. Bus. Res. An Adm. Manag., 2016. 
  7. S. K. Dhar, “Case Study for Bank ATM Queuing Model,” IOSR J. Math., 2013.  
  8. J. Vilaplana, F. Solsona, I. Teixidó, J. Mateo, F. Abella, and J. Rius, “A queuing theory model for cloud computing,” J. Supercomput., 2014. 
  9. S. Gavirneni and V. G. Kulkarni, “Self-Selecting Priority Queues with Burr Distributed Waiting Costs,” SSRN Electron. J., 2014.  
  10. G. S. Campos, “Development of a Computerized Student- Advising and Enrollment System,” Aloha Int. J. Multidiscip. Adv., 2019. 
  11. T. C. Xian, C. W. Hong, and N. N. Hawari, “Modeling and simulation of queuing system for customer service improvement: A case study,” in AIP Conference Proceedings, 2016.  
  12. L. Mayhew and D. Smith, “Using queuing theory to analyse the Government’s 4-h completion time target in Accident and Emergency departments,” Health Care Manag. Sci., 2008.  
  13. F. Wang, C. Ye, Y. Zhang, and Y. Li, “Simulation Analysis and Improvement of the Vehicle Queuing System on Intersections Based on MATLAB,” Open Cybern. Syst. J., 2014. 
  14. Y. Zhang and N. Nayak, “Macroscopic tool for measuring delay performance in national airspace system,” Transp. Res. Rec., 2010.  
  15. I. Simaiakis and H. Balakrishnan, “A queuing model of the airport departure process,” Transp. Sci., 2016. 
  16. L. Chu, L. Hui, and F. Y. Hung, “Simulation of theme park queuing system by using arena,” in Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013, 2013.  
  17. W. Tang and X. Pei, “The application of Six Sigma method in F bank,” in Proceedings of the International Conference on E-Business and E-Government, ICEE 2010, 2010. 
  18. S. Hoogendoorn and V. Knoop, “Traffic flow theory and modelling,” Transp. Syst. Transp. Policy An Introd., 2012.  
  19. W. JANG and H. JI, “On the Service Design of the Restaurant Queuing System in the Business Circle,” Conf. Proc. Acad. Des. Innov. Manag., 2019. 
  20. M. Ahsan, M. R. Islam, and M. A. Alam, “Study of Queuing System of a Busy Restaurant and a Proposed Facilitate Queuing System,” IOSR J. Mech. Civ. Eng., 2014