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Simulation and Real-Time Optimised Relocation for Improving Ambulance Operations

Andrew James Mason ()
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Andrew James Mason: University of Auckland

Chapter Chapter 11 in Handbook of Healthcare Operations Management, 2013, pp 289-317 from Springer

Abstract: Abstract In this chapter we discuss operations research models and methods for simulating and optimizing ambulance operations. We also discuss our experiences in developing and applying software that implements these techniques. We describe a new simulation-optimization algorithm for base location. We also present a case study detailing how the software we developed was used as part of a major reorganisation of ambulance operations in Copenhagen, Denmark. This chapter also examines the complex problem of real-time ambulance relocation. We review the literature in this area, and describe a new real-time ambulance re-positioning optimisation model and associated software now being used by ambulance operators in several countries to improve their operations.

Keywords: Base Location; Ambulance Operation; Approximate Dynamic Programming; Call Arrival Rate; Historic Call (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4614-5885-2_11

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DOI: 10.1007/978-1-4614-5885-2_11

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