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Open Access Journal Article

Queuing Theory and Optimization in Service Operations

by John Harris 1,*
1
John Harris
*
Author to whom correspondence should be addressed.
ORS  2022 4(1):30; https://doi.org/10.69610/j.ors.20220614
Received: 22 April 2022 / Accepted: 20 May 2022 / Published Online: 14 June 2022
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Abstract

The title "Queuing Theory and Optimization in Service Operations" reflects the interdisciplinary nature of the study, focusing on the application of queuing theory principles to optimize service operations. This paper explores the integration of queuing theory with optimization techniques to enhance efficiency and customer satisfaction in service sectors. By analyzing the behavior of customers in queues, the research identifies critical factors that influence service performance, such as service speed, queue lengths, and customer wait times. The study proposes a framework that integrates queuing theory models with optimization algorithms to determine optimal service configurations, workforce allocation, and resource management strategies. The results demonstrate that the application of queuing theory and optimization can lead to significant improvements in service delivery, reducing costs and increasing customer satisfaction. Furthermore, the paper discusses the practical implications of these findings for service providers, highlighting the importance of continuous monitoring and adaptation of service operations to changing demand patterns and operational constraints.

Keywords: Queuing Theory; Service Operations; Optimization; Customer Satisfaction; Resource Management.;
Copyright: © 2022 by Harris. 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.
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APA Style
Harris, J. (2022). Queuing Theory and Optimization in Service Operations. Operations Research and Statistics, 4(1), 30. doi:10.69610/j.ors.20220614
ACS Style
Harris, J. Queuing Theory and Optimization in Service Operations. Operations Research and Statistics, 2022, 4, 30. doi:10.69610/j.ors.20220614
AMA Style
Harris J. Queuing Theory and Optimization in Service Operations. Operations Research and Statistics; 2022, 4(1):30. doi:10.69610/j.ors.20220614
Chicago/Turabian Style
Harris, John 2022. "Queuing Theory and Optimization in Service Operations" Operations Research and Statistics 4, no.1:30. doi:10.69610/j.ors.20220614

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ACS Style
Harris, J. Queuing Theory and Optimization in Service Operations. Operations Research and Statistics, 2022, 4, 30. doi:10.69610/j.ors.20220614
AMA Style
Harris J. Queuing Theory and Optimization in Service Operations. Operations Research and Statistics; 2022, 4(1):30. doi:10.69610/j.ors.20220614
Chicago/Turabian Style
Harris, John 2022. "Queuing Theory and Optimization in Service Operations" Operations Research and Statistics 4, no.1:30. doi:10.69610/j.ors.20220614
APA style
Harris, J. (2022). Queuing Theory and Optimization in Service Operations. Operations Research and Statistics, 4(1), 30. doi:10.69610/j.ors.20220614

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