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- W3153836701 abstract "In EMS, due to the complexity of spatial queuing modeling frameworks, operators are often struggle to understand if prioritized dispatch, improved location, or improved fleeting can improve system performance; because each of these individual models are complex to implement. I build performance bounds that enable policymakers to evaluate EMS operators’ proposals for fleeting and staffing requirements, and understand whether EMSs should focus on improved dispatch frameworks or location optimizations. This work solves an open problem (stated in Maxwell et al (2014)) of constructing penalized information-relaxation for EMS. We present information relaxation bounds by penalizing the excess information known to an omniscient planner. We expand the theory of penalized information relaxations and model the penalty function components as integer programs using a parameterized cut that overcomes the difficulty stated in Maxwell et al (2014). Exploiting the equivalence of dynamic programming and integer programming, we model the penalty functions as several nested integer programs, that can still be combined and solved as a single-step IP. Our reformulation allows tighter and computationally tractable bounds to be constructed, avoiding the curse of dimensionality." @default.
- W3153836701 created "2021-04-26" @default.
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- W3153836701 date "2020-01-01" @default.
- W3153836701 modified "2023-09-24" @default.
- W3153836701 title "Information Relaxation Bounds for Evaluating Ambulance Dispatch and Allocation Policies" @default.
- W3153836701 doi "https://doi.org/10.2139/ssrn.3519306" @default.
- W3153836701 hasPublicationYear "2020" @default.
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