Pages that link to "Item:Q492857"
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The following pages link to A novel probabilistic formulation for locating and sizing emergency medical service stations (Q492857):
Displaying 16 items.
- Review, extension and prediction in emergency service siting models (Q1117826) (← links)
- Emergency medical services and beyond: addressing new challenges through a wide literature review (Q1652096) (← links)
- A survey of healthcare facility location (Q1652170) (← links)
- Capacitated disassembly scheduling under stochastic yield and demand (Q1744511) (← links)
- A stochastic location-allocation model for specialized services in a multihospital system (Q1748489) (← links)
- Modeling the shelter site location problem using chance constraints: a case study for Istanbul (Q1754735) (← links)
- Designing robust emergency medical service via stochastic programming (Q1827657) (← links)
- Recent optimization models and trends in location, relocation, and dispatching of emergency medical vehicles (Q1991100) (← links)
- Testing facility location and dynamic capacity planning for pandemics with demand uncertainty (Q2171554) (← links)
- A probabilistic model applied to emergency service vehicle location (Q2378480) (← links)
- An Outer Approximation Algorithm for Capacitated Disassembly Scheduling Problem with Parts Commonality and Random Demand (Q3296385) (← links)
- Empirical Spatial Density-Based Emergency Medical Service Demand Forecast for Ambulance Allocation (Q5066690) (← links)
- A Wasserstein distributionally robust chance constrained programming approach for emergency medical system planning problem (Q5097796) (← links)
- Ambulance Emergency Response Optimization in Developing Countries (Q5144767) (← links)
- Emergency medical service location problem based on physical bounds using chance-constrained programming approach (Q6111225) (← links)
- A multi-period emergency medical service location problem based on Wasserstein-metric approach using generalised benders decomposition method (Q6164442) (← links)
