Optimal allocation of emergency medical resources in a mass casualty incident: Patient prioritization by column generation

Sung, Inkyung; Lee, Taesik

doi:10.1016/j.ejor.2016.01.028

Cited by 83 publications

(30 citation statements)

References 19 publications

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“…In addition to Logistics and Supply Chain, provision of medicine and medical care, during and after the occurrence of a disaster has been considered by many researchers. As a significant and sensitive area, there has been a considerable number of papers in medical resource allocation (Xiang and Zhuang 2016;Sung and Lee 2016;Mohamadi and Yaghoubi 2017) and Scheduling of medical services (Rauner et al 2012;Lei et al 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp

2018

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In this paper, we provide a model which optimizes the allocation of electricity generation systems, in terms of their number and location, in a disaster relief camp. The objectives that this model takes into account are minimization of the total cost of the project and prioritization of those generation systems that perform favourably. Energy and specifically electricity plays an important role in the provision of essential needs like lighting, water purification, heating, ventilation and medical care for displaced people. Disaster relief camps are commonly considered as off-grid projects, so individual generation and control systems are the main means of electrification. To support decision makers in electrification planning for temporary and semi-temporary camps, we propose a bi-objective integer linear programming model. The performance evaluation of technologies such as fuel generators, wind turbines and solar panels is conducted with an MCDM (VIKOR) approach. The model is applied on a hypothetical but realistic map site with data regarding commercially available equipment. The better performance of solar panels regarding the evaluation criteria have made them the dominant applied source of renewable electricity generation system and together with application of micro-grids in the model they have proven to reduce the cost of generation significantly. However, installing fuel generators have been found necessary for facilities which can cause a remarkable damage in case of electricity interruption. The model is promising in helping relief aid agencies to design an electrification project with minimum cost and maximum utility.

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Section: Literature Reviewmentioning

confidence: 99%

A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp

2018

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“…Dean & Nair (2014), Sacco et al (2005), and Sung & Lee (2016) model the patient prioritization problem as an ambulance scheduling problem, while different rule-based triage schemes are evaluated to provide better response to the maximum number of patients. In particular, the objective function used by Sung & Lee (2016) aims to maximize the total expected number of survivors.…”

Section: Related Workmentioning

confidence: 99%

“…In particular, the objective function used by Sung & Lee (2016) aims to maximize the total expected number of survivors. The decision variable is the order of transportation and destination hospital for each patient.…”

Section: Related Workmentioning

confidence: 99%

Optimizing emergency preparedness and resource utilization in mass-casualty incidents

Repoussis

Paraskevopoulos

Vazacopoulos

et al. 2016

European Journal of Operational Research

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractThis paper presents a response model for the aftermath of a Mass-Casualty Incident (MCI) that can be used to provide operational guidance for regional emergency planning as well as to evaluate strategic preparedness plans. A mixed integer programming (MIP) formulation is proposed for the combined ambulance dispatching, patient-to-hospital assignment, and treatment ordering problem. The goal is to allocate effectively the limited resources during the response so as to improve patient outcomes, while the objectives are to minimize the overall response time and the total flow time required to treat all patients, in a hierarchical fashion. The model is solved via exact and MIPEmail addresses: prepouss@stevens.edu (Panagiotis P. Repoussis), d.paraskevopoulos@bath.ac.uk (Dimitris C. Paraskevopoulos), alkis@optimizationdirect.com (Alkiviadis Vazacopoulos), nah2005@med.cornell.edu (Nathaniel Hupert) Preprint submitted to European Journal of Operational ResearchMay 25, 2016 based heuristic solution methods. The applicability of the model and the performance of the new methods are challenged on realistic MCI scenarios. We consider the hypothetical case of a terror attack at the New York Stock Exchange in Lower Manhattan with up to 150 trauma patients. We quantify the impact of capacity-based bottlenecks for both ambulances and available hospital beds. We also explore the trade-off between accessing remote hospitals for demand smoothing versus reduced ambulance transportation times.

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“…Resource allocation is a process by which limited resources such as the human resources in the public education network (López-Torres and Prior, 2016), the emergency medical resources (Sung and Lee, 2016), the research and development project resources (Xiong et al, 2016), the water resources (Hu et al, 2016), the energyefficient resources (Xu et al, 2016) and so forth are allocated to various channels reasonably so as to achieve a certain objective.…”

Section: Introductionmentioning

confidence: 99%

“…Sung and Lee (2016) proposed a column generation algorithm to efficiently handle a large number of feasible ambulance schedules. A cooperative co-evolutionary multi-objective algorithm was designed to produce high-quality solutions (Xiong et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Limited public resources allocation model based on social fairness using an extended VIKOR method

Jiang

2016

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Article information:To cite this document: Wenqi Jiang, (2016) "Limited public resources allocation model based on social fairness using an extended VIKOR method", Kybernetes, Vol. 45 Issue: 7, pp.998-1012, https For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Limited public resources allocation model based on social fairness using an extended VIKOR method Wenqi JiangNanjing University of Science and Technology, Nanjing, China Abstract Purpose -Different from manufacturing resources allocation problems, the prices and amounts of limited public service resources could not be changed with the consumers' requirements and social fairness is the most important objective for improving allocation efficiency. To measure social fairness reasonably, the purpose of this paper is fourfold: first, divide social fairness into longitudinal comparative fairness and crosswise comparative fairness, therefore providing their calculation formula and describing the comprehensive fair degree by using the interval numbers. Second, the comparison regulations of interval numbers are given and the corresponding features are also described. Third, an extension of VIKOR method is put forward for evaluating social fairness of different allocation alternatives with interval numbers. Finally, a numerical example illustrates the proposed method and clarifies the main results developed in the paper. Design/methodology/approach -In this paper, the author depicts the social fair degree as an interval number, and thus proposes the comparison method between any two interval numbers. Based on the basis procedure of the VIKOR method, the paper proposes an extension of the fuzzy VIKOR method with the interval numbers to rank and select the compromise allocation alternatives. Finally, a numerical example illustrates the practicability of the proposed method.Findings -The comparison of interval numbers is very important when the author evaluates the decision alternatives. Through analyzing the present comparison methods, the paper proposes the simple method of comparing the interval numbers, which can obtain the same results with the above two methods. The fuzzy VIKOR method, a popular multi-...

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Optimal allocation of emergency medical resources in a mass casualty incident: Patient prioritization by column generation

Cited by 83 publications

References 19 publications

A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp

A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp

Optimizing emergency preparedness and resource utilization in mass-casualty incidents

Limited public resources allocation model based on social fairness using an extended VIKOR method

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