The Approaches Utilized in Queuing Modeling: A Systematic Literature Review
Queue scheduling is an important process that is used when processes can be divided into different classes based on the scheduling needs. In general, queue lengths and waiting times can be predicted with the use of a queuing model; especially, the importance of the services provided by any sector or organization for delivering effective services to their consumers highly depends on managing the queues in an effective manner. So, in general, analyzing and evaluating queues is more significant in fulfilling customer needs in a limited time. The applications and tactics developed earlier would not provide satisfactory solutions to solve this problem. But the studies done in the recent past have utilized newer technologies. Especially by incorporating Machine Learning techniques and various queuing models. During this study, a thorough analysis was carried out to discover the different strategies used in optimizing the queues by presenting a Systematic Literature Review (SLR) by examining available research perspective to queue management systems from 2016 to 2022. Initially 200 studies selected using seven electronic repositories and finally selected 14 for this analysis. The study’s findings reveals that most of the studies have used machine learning approaches, utilizing tools like ARENA,SIMIO and adapting various queuing algorithms to solve this problem.
 Marin, A., & Rossi, S. (2017). Power control in saturated fork-join queueing systems. Performance Evaluation, 116, 101–118.
 A. I. Kyritsis and M. Deriaz, "A Machine Learning Approach to Waiting Time Prediction in Queueing Scenarios," 2019 Second International Conference on Artificial Intelligence for Industries (AI4I), 2019, pp. 17-21, doi: 10.1109/AI4I46381.2019.00013.
 C. Mogilner, H. E. Hershfield, and J. Aaker, “Rethinking time: Implications for well-being,” Consumer Psychology Review, vol. 1, no. 1, pp. 41–53, 2018.
 A. Komashie, A. Mousavi, P. J. Clarkson, and T. Young, “An integrated model of patient and staff satisfaction using queuing theory,” IEEE journal of translational engineering in health and medicine, vol. 3, pp. 1–10, 2015.  Hermanto, Rinda Parama Satya, and Ariadi Nugroho. ”Waiting-Time Estimation in Bank Customer Queues using RPROP Neural Networks.” Procedia Computer Science 135 (2018): 35-42  Soorya, S. D., & Sreelatha, K. S. (2021, April). Application of queuing theory to reduce waiting period at ATM using a simulated approach. In IOP Conference Series: Materials Science and Engineering (Vol. 1145, No. 1, p. 012041). IOP Publishing.  Cowdrey, Kevin WG, et al. ”Applying queueing theory for the optimization of a banking model.” Journal of Internet Technology 19.2 (2018): 381-389.
 Kai Petersen, Robert Feldt and Shahid Mujtaba et al. Systematic Mapping Studies in Software Engineering. DOI: 10.14236/ewic/EASE2008.8  Uddin, N., 2016. Automated Queue Management System. Global Journal of Management and Business Research: A Administration and Management, [online] 16(1). Available at:
 Little, J. D. C., A Proof for the Queuing Formula:, Operations Research. 9 (3): 383–387(1961). doi:10.1287/opre.9.3.383. JSTOR 167570.
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