Scenario-based approach for the ambulance location problem with stochastic call arrivals under a dispatching policy

Inkyung Sung () and Taesik Lee ()
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Inkyung Sung: KAIST
Taesik Lee: KAIST

Flexible Services and Manufacturing Journal, 2018, vol. 30, issue 1, No 8, 153-170

Abstract: Abstract This paper proposes a scenario-based ambulance location model which explicitly computes the availability of ambulances with stochastic call arrivals under a dispatching policy. The model utilizes two-stage stochastic programming to represent the temporal variations in call arrivals as a set of call arrival sequences. Constraints are embedded in the model to ensure that available ambulances are assigned to incoming calls following a dispatching policy. A logic-based Benders decomposition algorithm is presented to solve the model. The advantage of using our algorithm is demonstrated by comparing its performance with those of other location models.

Keywords: Ambulance location problem; Stochastic programming; Stochastic call arrivals; Dispatching policy; Logic-based Benders decomposition (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10696-016-9271-5

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