[1] GANS N, KOOLE G, MANDELBAUM A. Telephone call centers: Tutorial, review, and research prospects[J]. Manufacturing and Service Operations Management, 2003, 5(2): 79-141. [2] SHEN H, HUANG J Z. Forecasting time series of inhomogeneous Poisson processes with application to call center work force management[J]. Annals of Applied Statistics, 2008, 2(2): 601-623. [3] BROWN L, GANS N, MANDELBAUM A,et al. Statistical analysis of a telephone call center: A queueing-science perspective[J]. Journal of the American Statistical Association, 2005, 100(469): 36-50. [4] KIM S H, WHITT W. Choosing arrival process models for service systems: Tests of a nonhomogeneous Poisson process[J]. Naval Research Logistics, 2014, 61: 66-90. [5] KIM S H, WHITT W. Are call center and hospital arrivals well modeled by nonhomogeneous Poisson process? [J]. Manufacturing and Service Operations Management, 2014,16(3): 464-480. [6] AVRAMIDIS A N, DESLAURIERS A, L’ECUYER P. Modeling daily arrivals to a telephone call center[J]. Management Science, 2004, 50(7): 896-908. [7] SHEN H. Statistical analysis of call-center operational data: Forecasting call arrivals, and analyzing customer patience and agent service[C]// Wiley Encyclopedia of Operation Research and Management Science, 2010.New York: Wiley, 2010. [8] MAMAN S, MANDELBAUM A, WHITT W, et al. Queues with random arrival rates: Interface, modelling and asymptotics (C-staffing)[R]. Work in Progress, 2015. [9] CHANNOUF N, L’ECUYER P. A normal copula model for the arrival process in a call center[J]. International Transactions in Operational Research, 2012, 19: 771-781. [10] SHEN H, HUANG J Z. Interday forecasting and intraday updating of call center arrivals[J]. Manufacturing and Service Operations Management, 2008, 10(3):391-410. [11] JAOUA A, L’ECUYER P, DELORME L. Call type dependence in multiskill call centers[J]. Journal Simulation, 2013, 89(6): 722-734. [12] THOMPSON H E, TIAO G C. Analysis of telephone data: A case study of forecasting seasonal time series[J]. The Bell Journal of Economics and Management Science, 1971, 2(2): 515-541. [13] MABERT V A. Short interval forecasting of emergency phone call work loads[J]. Journal of Operations Management, 1985, 5(3): 259-271. [14] TAYLOR J W. A comparison of univariate time series methods for forecasting intraday arrivals at a call center[J]. Management Science, 2008, 54(2): 253-265. [15] IBRAHIM R, L’ECUYER P. Forecasting call center arrivals: Fixed-effects, mixed-effects, and bivariate models[J]. Manufacturing and Services Operations Management, 2013, 15(1): 72-85. [16] AKTEKIN T, SOYER R. Call center arrival modeling: A Bayesian state space approach[J]. Naval Research Logistics, 2011, 58(1): 28-42. [17] SHEN H. Exponentially weighted methods for forecasting intraday time series with multiple seasonal cycles: Comments[J]. International Journal of Forecasting, 2010, 58: 652-654. [18] TAYLOR J W. Density forecasting of intraday call center arrivals using models based on exponentially smoothing[J]. Management Science, 2012, 58(3): 534-549. [19] 李诗羽, 张飞, 王正林. 数据分析: R语言实战[M]. 北京:电子工业出版社, 2014: 260-286. [20] 黄荣坦. ARIMA模型建立与应用[EB/OL]. [2016-04-07]. http://wenku.baidu.com/view/ d88f12f3941ea76e58fa0484.html. [21] Wikipedia. Overdispersion [EB/OL]. [2016-04-07]. https://en.wikipedia.org/wiki/ Overdispersion. |