Abstract
This paper studies the optimal design for staffing problems in call centers with the use of Arena simulation software. Call center is a labor-intensive business model and spends the major cost in hiring staff, so this research on the staffing optimization can help in reducing the operation cost of call centers. We provide managerial schemes to reduce staffing costs and to improve utilization of personnel at a certain guaranteed service level for the call centers. Through our analysis of the proposed Arena simulation model, several optimal solutions to staffing problems are obtained in our numerical experiments with computer simulation.
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Acknowledgments
The authors are thankful for partial support from Fujian Provincial Department of Science and Technology, China, under Grant 2016J01330, and the Education Department of Fujian Province, China, under Grant No. JAT160337.
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Wang, CH., Hung, MH. (2017). Simulation Model and Optimal Design for Call Center Staffing Problems. In: Pan, JS., Lin, JW., Wang, CH., Jiang, X. (eds) Genetic and Evolutionary Computing. ICGEC 2016. Advances in Intelligent Systems and Computing, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-319-48490-7_13
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DOI: https://doi.org/10.1007/978-3-319-48490-7_13
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Online ISBN: 978-3-319-48490-7
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