Capacity Sizing Under Parameter Uncertainty: Safety Staffing Principles Revisited
Abstract
We study a capacity sizing problem in a service system that is modeled as a single-class queue with multiple servers and where customers may renege while waiting for service. A salient feature of the model is that the mean arrival rate of work is random (in practice this is a typical consequence of forecasting errors). The paper elucidates the impact of uncertainty on the nature of capacity prescriptions, and relates these to well established...
Paper Details
Title
Capacity Sizing Under Parameter Uncertainty: Safety Staffing Principles Revisited
Published Date
Oct 1, 2010
Journal
Volume
56
Issue
10
Pages
1668 - 1686
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