| Autor: |
Ricardo Aceves-García, Zaida E. Alarcón-Bernal, Jorge L. Rojas-Arce |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Data Analysis and Optimization for Engineering and Computing Problems ISBN: 9783030481483 |
| DOI: |
10.1007/978-3-030-48149-0_6 |
| Popis: |
This paper studies the problem of choosing the number of emergency vehicles and the location of their bases in an urban area (Mexico City) in order to have an effective response to traffic accidents. To this end, the use of two types of vehicles will be considered: traditional ambulances and motorcycle ambulances. The potential demands of the service are considered uncertain, so we developed a stochastic programming model for the problem based on scenarios, to address the different categories of uncertainty associated with the aim of minimizing the total cost to install services ensuring a level of coverage. The results of this research allow system designers to consider different tactical and strategic decisions in the design and management of health service networks from cost and coverage perspectives. The model was solved using Benders decomposition. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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