A nested-compliance table policy for emergency medical service systems under relocation

Sudtachat, Kanchala; Mayorga, Marı́a E.; McLay, Laura A.

doi:10.1016/j.omega.2015.06.001

Cited by 44 publications

(55 citation statements)

References 35 publications

(47 reference statements)

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“…There are two types of redeployment strategies: 1) multi-period: in this strategy, the volumes of demands are predicted for different sectors of the service area and for different periods of time; then, ambulances are redeployed to face with demand fluctuation, and 2) real-time: in this strategy, when one or more ambulances are dispatched, the other available ambulances are redeployed to guarantee the desired coverage. Sudtachat et al [35] proposed a dynamic relocation strategy by using a nested compliance table. This table indicates where ambulances should be located when there are a certain number of ambulances available.…”

Section: Single Dispatch Total Backup and Homogeneous Serversmentioning

confidence: 99%

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Hypercube Queuing Models in Emergency Service Systems: A State-of-the-Art Review

2018

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Abstract. This study provides a review of hypercube queuing models (HQMs) in emergency service systems (ESSs). This survey presents a comprehensive review and taxonomy of models, solutions and applications related to the HQM after Larson [12]. In addition, the structural aspects of HQMs are examined. Important contributions of the existing research are addressed by taking into account multiple factors. In particular, the integration of location decisions with HQMs for designing an ESS is discussed. Finally, a list of issues for future studies are presented.

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Section: Single Dispatch Total Backup and Homogeneous Serversmentioning

confidence: 99%

“…, Chelst and Jarvis [17], Berman et al [22], Larson and Rich [18], Chiyoshi et al [26], Rajagopalan et al [33], Galvao et al [27], Chiyoshi et al [3], Toro-Diaz et al [32], Saydam et al [34], Sudtachat et al [35] Larson [14], Batta et al [25] - …”

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confidence: 99%

Hypercube Queuing Models in Emergency Service Systems: A State-of-the-Art Review

2018

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“…A Markov chain model for calculating the performance of an EMS system using a fixed compliance table was developed by Alanis et al [1] . This work serves as the foundation of the study done by Sudtachat et al [29] : the output of the Markov chain model, i.e., the steady-state probabilities, are used as input parameters in an integer programming model for the computation of nested compliance tables. This is a special class of compliance tables in which at most one vehicle is relocated (if it is at a base station) or redirected (if it is driving) upon the dispatch of an ambulance.…”

Section: Related Workmentioning

confidence: 99%

“…As a consequence, at each decision moment, at most one ambulance is instructed to relocate or redirect itself. Sudtachat et al [29] claim to be the first providing an optimization model for a compliance table policy, indicating that the problem of finding compliance tables is understudied and deserves attention.…”

Section: Related Workmentioning

confidence: 99%

Compliance tables for an EMS system with two types of medical response units

Barneveld

Mei

Bhulai

2017

Computers & Operations Research

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a b s t r a c tIn this paper, we consider an Emergency Medical Services (EMS) system with two types of medical response units: Rapid Responder Ambulances (RRAs) and Regular Transport Ambulances (RTAs). The key difference between both is that RRAs are faster, but they lack the ability to transport a patient to the hospital. To maintain the ability to respond to emergency requests timely when ambulances get busy, we consider compliance tables, which indicate the desired locations of the available ambulances. Our system brings forth additional complexity to the problem of computing optimal compliance tables, as we have two kinds of ambulances. We propose an Integer Linear Program (ILP) computing compliance tables for such a system, which uses outcomes of a Hypercube model as input parameters. Moreover, we include nestedness constraints and we set bounds on the relocation times in the ILP. To obtain more credible results, we simulate the computed compliance tables for different input parameters. Results show that bounding the time a relocation may last is beneficial in certain settings. Besides, including the nestedness constraints ensures that the number of relocations and the relocation time is reduced, while the performance stays unaffected.

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“…For the purpose of validation, they have utilized a detailed simulation model in different scenarios. Sudtachat et al [35] consider a nested-compliance table, which restricts the number of relocations that can occur simultaneously. The nested-compliance table is modeled as an integer programming model aiming to maximize expected coverage.…”

Section: Literature Reviewmentioning

confidence: 99%

An Optimization Model for Emergency Vehicle Location and Relocation with Consideration of Unavailability Time

2017

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The main purpose of emergency medical services is providing fast medical care, as well as transporting patients to the hospital, in the shortest possible time. Healthcare managers try to improve healthcare systems through reducing the response to demand time. In this paper, we seek to propose an optimization model in order to cover as much demand as possible in the shortest possible time using the available ambulance fleet. To do so, considering the response and service time, amount of demand during the time periods, limitation in the number of available emergency vehicles and the capacity of ambulance stations, we have proposed a mixed integer linear programming optimization model, aiming to minimize the total response time. In this paper we take into account fleet relocation and unavailability time, the time interval in which the vehicle is on its way or doing a service at a demand point. Then, a sensitivity analysis is conducted on the model by manipulating the parameters, so as to observe the effects on the outputs. In order to evaluate the model, several artificial test problems were generated and solved. The results depict the capability of the proposed model in dealing with emergency cases.

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A nested-compliance table policy for emergency medical service systems under relocation

Cited by 44 publications

References 35 publications

Hypercube Queuing Models in Emergency Service Systems: A State-of-the-Art Review

Hypercube Queuing Models in Emergency Service Systems: A State-of-the-Art Review

Compliance tables for an EMS system with two types of medical response units

An Optimization Model for Emergency Vehicle Location and Relocation with Consideration of Unavailability Time

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