Call center data modeling: a queueing science approach based on Markovian arrival process

IF 2.3 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Quality Technology and Quantitative Management Pub Date : 2024-07-05 DOI:10.1080/16843703.2024.2371715
Marcos Gonzalez Bernal, Rosa Elvira Lillo, Pepa Ramirez -Cobo
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Abstract

In this paper we analyze the well-known ‘Anonymous bank’ call center dataset from a queueing science viewpoint. For this purpose, fitted distributions for both the inter-arrival and service times a...
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呼叫中心数据建模:基于马尔可夫到达过程的排队科学方法
本文从排队科学的角度分析了著名的 "匿名银行 "呼叫中心数据集。为此,我们对到达时间和服务时间的拟合分布进行了分析。
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来源期刊
Quality Technology and Quantitative Management
Quality Technology and Quantitative Management ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
5.10
自引率
21.40%
发文量
47
审稿时长
>12 weeks
期刊介绍: Quality Technology and Quantitative Management is an international refereed journal publishing original work in quality, reliability, queuing service systems, applied statistics (including methodology, data analysis, simulation), and their applications in business and industrial management. The journal publishes both theoretical and applied research articles using statistical methods or presenting new results, which solve or have the potential to solve real-world management problems.
期刊最新文献
Comprehensive review of high-dimensional monitoring methods: trends, insights, and interconnections Call center data modeling: a queueing science approach based on Markovian arrival process A new phase-type distribution-based method for time-dependent system reliability analysis Monitoring of high-dimensional and high-frequency data streams: A nonparametric approach Equilibrium balking behavior of customers and regulation measures in a multi-server queue with threshold policy
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