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A two-stage method for member selection of emergency medical service

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Abstract

Member selection is an important decision making problem in the formation of emergency medical teams. It involves selecting an optimal combination from a reasonable number of doctors, nurses and emergency medical technicians. Selecting suitable members for a medical emergency team (MET) will facilitate the effectiveness of emergency medical service (EMS). Essentially, investigations on EMS could offer models which increase the efficiency of proper matching and earn time to save lives. The existing methods for member selection pay much attention to the individual information to measure the individual performance of members, while few studies focus on the collaborative information to measure the collaborative performance between members. This paper aims to propose a two-stage method for member selection of an MET. In the first stage, knowledge rules are proposed to identify the valid candidates quickly. In the second stage, the individual information of members, the collaborative information between members, and the response time of EMS are all considered to build a three-objective 0-1 programming model. Due to its intractability, the model is solved by a non-dominated sorting genetic algorithm II. Liberia, now suffering the Ebola virus, is used as a backdrop for this study. A practical example followed by a computational simulation experiment is used to illustrate the applicability and the effectiveness of the proposed method.

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Acknowledgments

This work was partially supported by the National Natural Science Foundation of China under Grants 71101114, 71473188, 71401131, 71403158 and 61374068, China Postdoctoral Science Foundation under Grant 2012M511979, the Fundamental Research Funds for the Central Universities under Grants BDY251412, and the Science and Technology Development Fund, MSAR, under Grant 066/2013/A2.

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Authors and Affiliations

  1. School of Economics & Management, Xidian University, Xi’an, 710071, China

    Xi Chen, Xueliang Han & Xiao Zhang

  2. School of Business Administration, Northeastern University, Shenyang, 110819, China

    Zhiping Fan

  3. Institute of Systems Engineering, Macau University of Science and Technology, Macao, 999078, Taipa, China

    Zhiwu Li

  4. Faculty of Engineering, King Abdulaziz University, Jidda, 21589, Saudi Arabia

    Zhiwu Li

  5. School of Electro-Mechanical Engineering, Xidian University, Xi’an, 710071, China

    Zhiwu Li

  6. College of Arts and Sciences, Stony Brook University, Stony Brook, NY, 11790, USA

    Haochen Jia

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  1. Xi Chen
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  2. Zhiping Fan
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  3. Zhiwu Li
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  4. Xueliang Han
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  5. Xiao Zhang
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Correspondence to Xi Chen.

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Chen, X., Fan, Z., Li, Z. et al. A two-stage method for member selection of emergency medical service. J Comb Optim 30, 871–891 (2015). https://doi.org/10.1007/s10878-015-9856-z

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  • DOI: https://doi.org/10.1007/s10878-015-9856-z

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