Analytic queueing model for ambulance services
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2016
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| Accesso online: | |
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| _version_ | 1866918241179271168 |
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| author | Pury, Pedro A. |
| author_facet | Pury, Pedro A. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1602_06579 |
| institution | arXiv |
| publishDate | 2016 |
| record_format | arxiv |
| spellingShingle | Analytic queueing model for ambulance services Pury, Pedro A. Applications 90B22, 60K25 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. |
| title | Analytic queueing model for ambulance services |
| topic | Applications 90B22, 60K25 |
| url | https://arxiv.org/abs/1602.06579 |