Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 19, 08 December 2023
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Optimizing the counter service based on linear programming and queue theory
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Abstract
With the progress of the social economy, the pace of people's life and work is accelerating, and queuing has gradually become a key factor affecting the service level and quality of enterprises. Although the queuing problem has been gradually optimized, there are still some problems such as queue congestion and confusion, inadequate work of staff, and low efficiency. It can be seen that effective measures have been taken to properly solve the queuing problem in China's service industry and other industries. This paper is aimed at using the method that combined linear programming with queue theory to develop 3 steps to optimize the manpower scheduling problem for a real-world situation. A case study of the local government service counter is provided. After applying our model to the case problem, we have achieved three goals: to reduce the number of staff to a more accurate state. Our research finds that there exist some real problems with the service like their service rate is a bit low and needs to improve. In addition, this model has application value for a wide range of other fields, such as banks, post offices and other scenarios.
Keywords
Linear programming, Queue theory, Service.
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics
- ISBN (Print)
- 978-1-83558-203-9
- ISBN (Online)
- 978-1-83558-204-6
- Published Date
- 08 December 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/19/20230513
- Copyright
- 08 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited