Directed Search for Non-Dominated Emergency Medical System Designs
This research paper is aimed at a specific group of emergency medical service location problems, which are solved to save people’s lives and reduce the rate of mortality and morbidity. Since searching for the optimal service center deployment is a big challenge, many operations researchers, programm...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-04-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/8/4810 |
| _version_ | 1797606579747422208 |
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| author | Marek Kvet Jaroslav Janáček |
| author_facet | Marek Kvet Jaroslav Janáček |
| author_sort | Marek Kvet |
| collection | DOAJ |
| description | This research paper is aimed at a specific group of emergency medical service location problems, which are solved to save people’s lives and reduce the rate of mortality and morbidity. Since searching for the optimal service center deployment is a big challenge, many operations researchers, programmers, and healthcare practitioners have been making a great effort to find effective solutions since the 1960s. Within this paper, we study such a system design problem in which two contradictory objectives are taken into account. Since the optimization of one criterion causes deterioration in the value of the other, a specific small finite set of solutions seems to be a sufficient output of the associated solving process for further decision-making. Therefore, we study here several heuristic approaches that enable us to approximate the original Pareto fronts of non-dominated system designs. In addition to the theoretical explanation, we provide the readers with the results of numerical experiments in order to evaluate the quality of the proposed algorithms. Based on the presented results, it can be stated that the suggested approach is able to produce a good approximation of the Pareto front of emergency medical service system designs in acceptable computational time, which is in orders shorter than the one required by the former exact method. |
| first_indexed | 2024-03-11T05:17:11Z |
| format | Article |
| id | doaj.art-b82e48d907e64c4e9c72ea37f87a02d7 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T05:17:11Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-b82e48d907e64c4e9c72ea37f87a02d72023-11-17T18:09:34ZengMDPI AGApplied Sciences2076-34172023-04-01138481010.3390/app13084810Directed Search for Non-Dominated Emergency Medical System DesignsMarek Kvet0Jaroslav Janáček1Faculty of Management Science and Informatics, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, SlovakiaFaculty of Management Science and Informatics, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, SlovakiaThis research paper is aimed at a specific group of emergency medical service location problems, which are solved to save people’s lives and reduce the rate of mortality and morbidity. Since searching for the optimal service center deployment is a big challenge, many operations researchers, programmers, and healthcare practitioners have been making a great effort to find effective solutions since the 1960s. Within this paper, we study such a system design problem in which two contradictory objectives are taken into account. Since the optimization of one criterion causes deterioration in the value of the other, a specific small finite set of solutions seems to be a sufficient output of the associated solving process for further decision-making. Therefore, we study here several heuristic approaches that enable us to approximate the original Pareto fronts of non-dominated system designs. In addition to the theoretical explanation, we provide the readers with the results of numerical experiments in order to evaluate the quality of the proposed algorithms. Based on the presented results, it can be stated that the suggested approach is able to produce a good approximation of the Pareto front of emergency medical service system designs in acceptable computational time, which is in orders shorter than the one required by the former exact method.https://www.mdpi.com/2076-3417/13/8/4810urgent healthcare managementbi-objective optimizationPareto front of non-dominated solutionsapproximate approaches |
| spellingShingle | Marek Kvet Jaroslav Janáček Directed Search for Non-Dominated Emergency Medical System Designs Applied Sciences urgent healthcare management bi-objective optimization Pareto front of non-dominated solutions approximate approaches |
| title | Directed Search for Non-Dominated Emergency Medical System Designs |
| title_full | Directed Search for Non-Dominated Emergency Medical System Designs |
| title_fullStr | Directed Search for Non-Dominated Emergency Medical System Designs |
| title_full_unstemmed | Directed Search for Non-Dominated Emergency Medical System Designs |
| title_short | Directed Search for Non-Dominated Emergency Medical System Designs |
| title_sort | directed search for non dominated emergency medical system designs |
| topic | urgent healthcare management bi-objective optimization Pareto front of non-dominated solutions approximate approaches |
| url | https://www.mdpi.com/2076-3417/13/8/4810 |
| work_keys_str_mv | AT marekkvet directedsearchfornondominatedemergencymedicalsystemdesigns AT jaroslavjanacek directedsearchfornondominatedemergencymedicalsystemdesigns |