Analytic queueing model for ambulance services
arXiv:1602.06579
Abstract
We present predictive tools to calculate the number of ambulances needed according to demand of entrance calls and time of service. Our analysis discriminates between emergency and non-urgent calls. First, we consider the nonstationary regime where we apply previous results of first-passage time of one dimensional random walks. Then, we reconsider the stationary regime with a detailed discussion of the conditional probabilities and we discuss the key performance indicators.
13 pages, 7 figures. v2: minor revision; figures 6 and 7 corrected