Journal Browser
Open Access Journal Article

Queueing Models and Applications in Service Operations

by Olivia Anderson 1,*
1
Olivia Anderson
*
Author to whom correspondence should be addressed.
Received: 24 March 2022 / Accepted: 22 April 2022 / Published Online: 14 May 2022

Abstract

This paper explores the integration of queueing models into service operations, highlighting their significance and applications in various sectors. Queueing models are mathematical tools that help analyze and predict the behavior of queues, allowing businesses to optimize service delivery, resource allocation, and customer satisfaction. The study commences by providing an overview of fundamental queueing concepts and mathematical formulas. Subsequently, it delves into the practical applications of queueing models in industries such as healthcare, transportation, and customer service. By examining case studies, the paper demonstrates how queueing models can be employed to minimize waiting times, reduce service costs, and enhance customer experiences. Additionally, the paper discusses the limitations and challenges of using queueing models in real-world scenarios, as well as the potential for future advancements in this field.


Copyright: © 2022 by Anderson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Cite This Paper
APA Style
Anderson, O. (2022). Queueing Models and Applications in Service Operations. Operations Research and Statistics, 4(1), 29. doi:10.69610/j.ors.20220514
ACS Style
Anderson, O. Queueing Models and Applications in Service Operations. Operations Research and Statistics, 2022, 4, 29. doi:10.69610/j.ors.20220514
AMA Style
Anderson O. Queueing Models and Applications in Service Operations. Operations Research and Statistics; 2022, 4(1):29. doi:10.69610/j.ors.20220514
Chicago/Turabian Style
Anderson, Olivia 2022. "Queueing Models and Applications in Service Operations" Operations Research and Statistics 4, no.1:29. doi:10.69610/j.ors.20220514

Share and Cite

ACS Style
Anderson, O. Queueing Models and Applications in Service Operations. Operations Research and Statistics, 2022, 4, 29. doi:10.69610/j.ors.20220514
AMA Style
Anderson O. Queueing Models and Applications in Service Operations. Operations Research and Statistics; 2022, 4(1):29. doi:10.69610/j.ors.20220514
Chicago/Turabian Style
Anderson, Olivia 2022. "Queueing Models and Applications in Service Operations" Operations Research and Statistics 4, no.1:29. doi:10.69610/j.ors.20220514
APA style
Anderson, O. (2022). Queueing Models and Applications in Service Operations. Operations Research and Statistics, 4(1), 29. doi:10.69610/j.ors.20220514

Article Metrics

Article Access Statistics

References

  1. Burbules, N. C., & Callister, T. A. (2000). Watch IT: The Risks and Promises of Information Technologies for Education. Westview Press.
  2. Little, J. B. (1961). On queues and queuing systems. Journal of the ACM, 8(1), 38-54.
  3. Kassirer, J. P., & Luce, D. R. (1971). Queueing Analysis and Patient Flow: A Management Tool for the Hospital. Annals of Internal Medicine, 74(3), 313-320.
  4. Newell, G. F., & Swain, R. G. (1965). Queueing theory and traffic flow. Operations Research, 13(2), 267-278.
  5. D'Alessandro, S. M., & Hine, G. W. (1967). Queueing in Service Systems. The Journal of Business, 40(1), 1-21.
  6. Cooper, L. A., & Jaikumar, R. (1985). Queueing Theory in Manufacturing Systems. The International Journal of Production Research, 23(6), 883-902.
  7. Chandy, K. R., Armony, S., & Herzog, S. (1995). Queueing theory and empirical analysis of a call center. Management Science, 41(5), 816-825.
  8. Farias, J. F., & Lapedriza, A. (2001). The impact of information technology on queueing performance in healthcare systems. Information Systems Research, 12(3), 241-256.
  9. Beamon, B. M., & Cooil, B. (2006). Queueing theory in retail stores: A comprehensive review and a new analytical model for customer queuing behavior. International Journal of Research in Marketing, 23(1), 1-14.
  10. Chakraborty, S. (2008). Stochastic queueing model for healthcare systems under uncertainty. Health Systems, 2(4), 234-250.
  11. Heagney, J. P., & Zonderman, A. (2010). Simulation-based analysis of queueing systems in service operations. Service Science, 2(2), 165-175.