Forecasting Call Center Arrivals: Fixed-Effects, Mixed-Effects, and Bivariate Models
Published Online:4 Sep 2012https://doi.org/10.1287/msom.1120.0405
References
- . The modern call center: A multi-disciplinary perspective on operations management research. Production Oper. Management (2007) 16:665–688Crossref, Google Scholar
- . Workload forecasting for a call center: Methodology and a case study. Ann. Appl. Statist. (2009) 3:1403–1447Crossref, Google Scholar
- . L. L. Bean improves call-center forecasting. Interfaces (1995) 25:1–13Link, Google Scholar
- . Modeling daily arrivals to a telephone call center. Management Sci. (2004) 50:896–908Link, Google Scholar
- . Optimizing daily agent scheduling in a multiskill call center. Eur. J. Oper. Res. (2010) 200:822–832Crossref, Google Scholar
- . Linear mixed models for longitudinal shape data with applications to facial modeling. J. Biostatistics (2007) 9:555–565Crossref, Google Scholar
- . Improving forecasting for telemarketing centers by ARIMA modeling with intervention. Internat. J. Forecasting (1998) 14:497–504Crossref, Google Scholar
- . Root un-root methodology for non parametric density estimation. (2001) . Technical report, The Wharton School of the University of Pennsylvania, PhiladelphiaGoogle Scholar
- . Statistical analysis of a telephone call center: A queueing-science perspective. J. Amer. Statist. Assoc. (2005) 100:36–50Crossref, Google Scholar
- . Staffing multiskill call centers via linear programming and simulation. Management Sci. (2008) 54:310–323Link, Google Scholar
- . A normal copula model for the arrival process in call centers. Internat. Trans. Oper. Res. (2012) 19(6):771–787Crossref, Google Scholar
- . The application of forecasting techniques to modeling emergency medical system calls in Calgary, Alberta. Health Care Management Sci. (2007) 10:25–45Crossref, Google Scholar
- . Evaluating interval forecasts. Internat. Econom. Rev. (1998) 39:841–862Crossref, Google Scholar
- . Telephone call centers: Tutorial, review and research prospects. Manufacturing Service Oper. Management (2003) 5:79–141Link, Google Scholar
- . Parametric stochastic programming models for call-center workforce scheduling. (2012) . Working paper, University of Pennsylvania, PhiladelphiaGoogle Scholar
- . Best linear unbiased estimation and prediction under a selection model. Biometrics (1975) 31:423–447Crossref, Google Scholar
- . Managing uncertainty in call centers using Poisson mixtures. Appl. Stochastic Models Bus. Indust. (2001) 17:307–318Crossref, Google Scholar
- . Intelligent procedures for intra-day updating of call center agent schedules. Production Oper. Management (2010) 19:353–367Crossref, Google Scholar
- . Linear Model Theory: Univariate, Multivariate, and Mixed Models (2006) (Wiley, New York) Crossref, Google Scholar
- . Forecasting time series of inhomogeneous poisson process with application to call center management software. Ann. Appl. Statist. (2008a) 2:601–623Crossref, Google Scholar
- . Intraday forecasting and interday updating of call center arrivals. Manufacturing Service Oper. Management (2008b) 10:391–410Link, Google Scholar
- , Farrington PA, Nemhard HB, Sturrock DT, Evans GW. Call center simulation in Bell Canada. Proc. 1999 Winter Simulation Conf. (1999) (IEEE Press, Piscataway, NJ) 1640–1647Crossref, Google Scholar
- . A comparison of univariate time series methods for forecasting intraday arrivals at a call center. Management Sci. (2008) 54:253–265Link, Google Scholar
- . Bivariate linear mixed models using SAS proc MIXED. Comput. Methods Programs Biomedicine (2007) 69:249–256Crossref, Google Scholar
- . Bayesian forecasting of an inhomogeneous Poisson process with applications to call center data. J. Amer. Statist. Assoc. (2007) 102:1185–1199Crossref, Google Scholar
- . Dynamic staffing in a telephone call center aiming to immediately answer all calls. Oper. Res. Lett. (1999) 24:205–212Crossref, Google Scholar

