An emergency vehicle dispatching system for an electric utility in Chile

Weintraub, Andrés; Aboud, Julio; Fernández, Claudio; Laporte, Gilbert; Ramírez, Enrique Bustamante

doi:10.1057/palgrave.jors.2600746

Cited by 69 publications

(18 citation statements)

References 2 publications

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“…Weintraub et al. () propose a vehicle routing problem (analogous to dispatching model) considering prioritized customers (distinctive from EMS priorities) for an electric utility. Some other papers measure/optimize the impact of dispatcher classification errors for each call type on dispatching policies (Roppolo et al., ; McLay and Mayorga, ).…”

Section: Review Of Related Literaturementioning

confidence: 99%

Identifying trade‐offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances

Enayati

Mayorga

Toro-Díaz

et al. 2018

Int Trans Operational Res

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The role of emergency medical service (EMS) systems is to provide acute care and possibly transportation to health care facilities to patients experiencing medical emergencies. Since EMS is a public service, it is natural for the community to expect equitable service from these systems; however, there is not a unique agreement on how to measure equity. Most EMS planning literature focuses solely on measures of efficiency, such as minimizing average response time. Solutions based on optimizing efficiency measures alone can be unacceptable when they are achieved at the expense of some players. Such trade‐offs can be more crucial when it comes to high‐priority emergencies. We provide a multicriteria optimization approach aimed at identifying good solutions for several equity and efficiency measures together, based on a joint modeling approach for location and dispatching policy decisions, while considering multiple levels of call priority. We apply our approach to a real‐world data set. We show that the joint approach provides better solutions than using the common assignment of the closest available ambulance, in particular for the equity criteria. We quantify the trade‐offs between different performance measures, and provide Pareto‐efficient solutions. The proposed joint optimization approach can be used to gain insight about the implicit balance between common efficiency measures and discussed equity criteria, hence providing better information to policy makers and EMS system administrators.

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Section: Review Of Related Literaturementioning

confidence: 99%

Identifying trade‐offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances

Enayati

Mayorga

Toro-Díaz

et al. 2018

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

“…2006) have developed an approach to have balanced workload by modeling the vehicle routing problem first as a clustering problem, in a classical cluster-first, route-second approach. (Weintraub et. al.…”

Section: Computational Methodology Proposedmentioning

confidence: 99%

Multi-Criteria Approach For Emergency Service Orders In Electric Utilities

Garcia¹,

Bernardon²,

Abaide³

et al. 2014

ECMS 2014 Proceedings Edited By: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani

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This paper proposes a multi-criteria approach to handle emergency orders under real-time conditions in electric power distribution utilities. It is described how the problem related to serve work orders in electric utilities is considered, with an aggregated objective function developed to handle the minimization of the waiting time for emergency services, the total distance travelled and the sum of all delays related to already assigned orders. After that, actual cases have shown the effectiveness of the proposed model to be adopted in real world applications.

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“…Examples of deterministic, multi-period scheduling problems include [41,42,43,44,45,46,47,48]. [57,40,58,59]. Unlike in this work, however, all theses papers present myopic, reoptimization solution approaches that do not incorporate information about future requests.…”

Section: Technician Scheduling and Routingmentioning

confidence: 99%

Multi-period technician scheduling with experience-based service times and stochastic customers

Chen

Thomas

Hewitt

2017

Computers & Operations Research

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This paper introduces the multi-period technician scheduling problem with experience-based service times and stochastic customers. In the problem, a manager must assign tasks of different types that are revealed at the start of each day to technicians who must complete the tasks that same day. As a technician gains experience with a type of task, the time that it takes to serve future tasks of that type is reduced (often referred to as experiential learning). As such, while the problem could be modeled as a single-period problem (i.e. focusing solely on the current day's tasks), we instead choose to model it as a multi-period problem and thus capture that daily decisions should recognize the long-term effects of learning. Specifically, we model the problem as a Markov decision process and introduce an approximate dynamic programming-based solution approach. The model can be adapted to handle cases of worker attrition and new task types. The solution approach relies on an approximation of the cost-to-go that uses forecasts of the next day's assignments for each technician and the resulting estimated time it will take to service those assignments given current period decisions. Using an extensive computational study, we demon

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An emergency vehicle dispatching system for an electric utility in Chile

Cited by 69 publications

References 2 publications

Identifying trade‐offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances

Identifying trade‐offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances

Multi-Criteria Approach For Emergency Service Orders In Electric Utilities

Multi-period technician scheduling with experience-based service times and stochastic customers

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