A Multi-objective Mathematical Programing Model for the Problem of P-envy Emergency Medical Service Location.
To prevent the great dangers caused by emergency situations, providing rapid and high-quality emergency aid highly depends on the location of emergency medical centers. The purpose of this research is to present a multi-objective mathematical programing model based on the minimum P-envy algorithm to...
| Publicado en: | Health Services Insights pp. 1 - 16 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
8/30/2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=171308955&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 171308955 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11786329 B10H jtl: Health Services Insights issn: 11786329 maglogo: Y pubinfo: dt: 8/30/2023 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 171308955 171308955 171308955 10.1177/11786329231195690 171308955 ppf: 1 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A Multi-objective Mathematical Programing Model for the Problem of P-envy Emergency Medical Service Location. aug: au: Khalilzadeh, Mohammad Bahari, Arman affil: CENTRUM Católica Graduate Business School, Pontificia Universidad Católica del Perú, Lima, Peru sug: subj: Emergency Medical Services Models, Theoretical Algorithms Jealousy Probability Facility Design and Construction Human Male Female Confidence Intervals Comparative Studies P-Value Analysis of Variance T-Tests Descriptive Statistics Male Female ab: To prevent the great dangers caused by emergency situations, providing rapid and high-quality emergency aid highly depends on the location of emergency medical centers. The purpose of this research is to present a multi-objective mathematical programing model based on the minimum P-envy algorithm to locate and construct emergency medical services (EMS). Maximizing the coverage in order to increase the probability of survival of different categories of patients, minimizing the costs of constructing EMS and optimizing the ratio of regions having the right to emergency medical services is one of the fundamental challenges in the health care system of countries. In this paper, a model for maximum utilization of EMS considering budget limitations is presented. In this study, since the problem is NP-Hard, the Genetic Algorithm (GA) and Simulated Annealing (SA) algorithm were used to solve this problem. The parameters of the metaheuristic algorithms were tuned using the Taguchi method. Several instance problems were solved to compare the performance of 2 algorithms. The results demonstrate that the validity of the proposed model. Also, the mean of the solutions obtained by GA for small, medium, and large-size problems are better than the SA algorithm. Also, the GA algorithm obtained more efficient solutions than the SA algorithm. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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