Ambulance location and relocation models
By Luce Brotcorne, Gilbert Laporte, Frédéric Semet. European Journal of Operational Research, 2000
811 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Ocean Engineering, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/98666c672de240d7be108fd2be0cecb43d1790da
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Michel Gendreau
- Gilbert Laporte
- Richard F. Hartl
- Jean-François Cordeau
- Andrés L. Medaglia
- Christelle Guéret
- Victor Pillac
- Thibaut Vidal
In Ocean Engineering
- S. M. Al-e-hashem
- Gilbert Laporte
- Shane G. Henderson
- Xin Hong
- Matthew S. Maxwell
- Mohamad Saeed Jabalameli
- Nilay Noyan
- Mateo Restrepo
In Organizational Behavior and Human Resource Management
- Jean-François Cordeau
- Xin Hong
- Miguel A. P. M. Lejeune
- Gilbert Laporte
- Michel Gendreau
- Xiaoyan Zhu
- Xueping Li
- Tami Wyatt
Citations in the corpus
- Real-time vehicle routing: Solution concepts, algorithms and parallel computing strategies (2003, methodology): “When jointly used, devices like geographic information systems (GIS), global positioning systems (GPS), traffic flow sensors and cellular telephones are able to provide relevant real-time data, such as current vehicle locations, new customer requests and periodic estimates of road travel times [16].”
- A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty (2011, background): “Brotcorne et al. (2003) classified the location and relocation models of ambulances and other emergency vehicles into three categories: deterministic models, probabilistic queuing models, and dynamic models.”
- Dynamic vehicle routing problems: Three decades and counting (2016, neutral): “Prior survey papers on the DVRP class of problems include Berbeglia et al. (2010), Brotcorne et al. (2003), Cordeau et al. (2007), Dial (1995), Ghiani et al. (2003), and Larsen et al. (2002, 2007, 2008).”
- A multiperiod set covering location model for dynamic redeployment of ambulances (2008, background): “predict that current and future advances in this field are likely to be in probabilistic location models, dynamic redeployment models, and fast heuristics designed to solve generally large scale problem instances [1].”
- Covering models and optimization techniques for emergency response facility location and planning: a review (2011, background): “Because the concavity property in the MEXCLP no longer holds in this model, constraint (44) is required (Brotcorne et al. 2003).”
- Heuristic Solution of an Extended Double-Coverage Ambulance Location Problem for Austria (2005, background): “An overview of different ambulance location and relocation models can be found in [3].”
- The dial-a-ride problem: models and algorithms (2006, background): “Finally, advanced systems should make full use of new technologies such as vehicle positioning systems now common in the area of emergency medical services ( Brotcorne, Laporte and Semet, 2003 ).”
- The Dial-a-Ride Problem (DARP): Variants, modeling issues and algorithms (2003, background): “Finally, advanced systems should make full use of new technologies such as vehicle positioning systems now common in the area of emergency medical services ( Brotcorne et al. 2002 ).”
- Approximate Dynamic Programming for Ambulance Redeployment (2010, methodology): “2 in Bertsekas and Tsitsiklis (1996) provides a performance guarantee for the approximate policy iteration algorithm.”
- A review of dynamic vehicle routing problems (2013, background): “gency vehicles [23,54,66], or the so-called dynamic allocation problems in the area of long haul truckload trucking [60,109,134].”
- Stochastic network design for disaster preparedness (2015, background): “, Brotcorne et al. (2003)), it is also crucial to take the responsiveness and fairness criteria into consideration while designing a humanitarian relief network (Tzeng et al.”