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We consider a call center model with m input flows and r pools of agents; the m-vector λ of instantaneous arrival rates is allowed to be time-dependent and to vary stochastically. Seeking to optimize the trade-off between personnel costs and abandonment penalties, we develop and illustrate a practical method for sizing the r agent pools. Using stochastic fluid models, this method reduces the staffing problem to a multi-dimensional newsvendor problem, which can be solved numerically by adoi:10.1287/msom.1040.0052 fatcat:3ri5xig3lrh3pacvbx5rqu2m6a