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Mixed integer programming model for optimizing the layout of an ICU vehicle
BACKGROUND: This paper presents a Mixed Integer Programming (MIP) model for designing the layout of the Intensive Care Units' (ICUs) patient care space. In particular, this MIP model was developed for optimizing the layout for materials to be used in interventions. This work was developed withi...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2797005/ https://www.ncbi.nlm.nih.gov/pubmed/19995438 http://dx.doi.org/10.1186/1472-6963-9-224 |
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author | Alejo, Javier Sánchez Martín, Modoaldo Garrido Ortega-Mier, Miguel García-Sánchez, Álvaro |
author_facet | Alejo, Javier Sánchez Martín, Modoaldo Garrido Ortega-Mier, Miguel García-Sánchez, Álvaro |
author_sort | Alejo, Javier Sánchez |
collection | PubMed |
description | BACKGROUND: This paper presents a Mixed Integer Programming (MIP) model for designing the layout of the Intensive Care Units' (ICUs) patient care space. In particular, this MIP model was developed for optimizing the layout for materials to be used in interventions. This work was developed within the framework of a joint project between the Madrid Technical Unverstity and the Medical Emergency Services of the Madrid Regional Government (SUMMA 112). METHODS: The first task was to identify the relevant information to define the characteristics of the new vehicles and, in particular, to obtain a satisfactory interior layout to locate all the necessary materials. This information was gathered from health workers related to ICUs. With that information an optimization model was developed in order to obtain a solution. From the MIP model, a first solution was obtained, consisting of a grid to locate the different materials needed for the ICUs. The outcome from the MIP model was discussed with health workers to tune the solution, and after slightly altering that solution to meet some requirements that had not been included in the mathematical model, the eventual solution was approved by the persons responsible for specifying the characteristics of the new vehicles. According to the opinion stated by the SUMMA 112's medical group responsible for improving the ambulances (the so-called "coaching group"), the outcome was highly satisfactory. Indeed, the final design served as a basis to draw up the requirements of a public tender. RESULTS: As a result from solving the Optimization model, a grid was obtained to locate the different necessary materials for the ICUs. This grid had to be slightly altered to meet some requirements that had not been included in the mathematical model. The results were discussed with the persons responsible for specifying the characteristics of the new vehicles. CONCLUSION: The outcome was highly satisfactory. Indeed, the final design served as a basis to draw up the requirements of a public tender. The authors advocate this approach to address similar problems within the field of Health Services to improve the efficiency and the effectiveness of the processes involved. Problems such as those in operation rooms or emergency rooms, where the availability of a large amount of material is critical are eligible to be dealt with in a simmilar manner. |
format | Text |
id | pubmed-2797005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27970052009-12-23 Mixed integer programming model for optimizing the layout of an ICU vehicle Alejo, Javier Sánchez Martín, Modoaldo Garrido Ortega-Mier, Miguel García-Sánchez, Álvaro BMC Health Serv Res Research article BACKGROUND: This paper presents a Mixed Integer Programming (MIP) model for designing the layout of the Intensive Care Units' (ICUs) patient care space. In particular, this MIP model was developed for optimizing the layout for materials to be used in interventions. This work was developed within the framework of a joint project between the Madrid Technical Unverstity and the Medical Emergency Services of the Madrid Regional Government (SUMMA 112). METHODS: The first task was to identify the relevant information to define the characteristics of the new vehicles and, in particular, to obtain a satisfactory interior layout to locate all the necessary materials. This information was gathered from health workers related to ICUs. With that information an optimization model was developed in order to obtain a solution. From the MIP model, a first solution was obtained, consisting of a grid to locate the different materials needed for the ICUs. The outcome from the MIP model was discussed with health workers to tune the solution, and after slightly altering that solution to meet some requirements that had not been included in the mathematical model, the eventual solution was approved by the persons responsible for specifying the characteristics of the new vehicles. According to the opinion stated by the SUMMA 112's medical group responsible for improving the ambulances (the so-called "coaching group"), the outcome was highly satisfactory. Indeed, the final design served as a basis to draw up the requirements of a public tender. RESULTS: As a result from solving the Optimization model, a grid was obtained to locate the different necessary materials for the ICUs. This grid had to be slightly altered to meet some requirements that had not been included in the mathematical model. The results were discussed with the persons responsible for specifying the characteristics of the new vehicles. CONCLUSION: The outcome was highly satisfactory. Indeed, the final design served as a basis to draw up the requirements of a public tender. The authors advocate this approach to address similar problems within the field of Health Services to improve the efficiency and the effectiveness of the processes involved. Problems such as those in operation rooms or emergency rooms, where the availability of a large amount of material is critical are eligible to be dealt with in a simmilar manner. BioMed Central 2009-12-08 /pmc/articles/PMC2797005/ /pubmed/19995438 http://dx.doi.org/10.1186/1472-6963-9-224 Text en Copyright ©2009 Alejo et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research article Alejo, Javier Sánchez Martín, Modoaldo Garrido Ortega-Mier, Miguel García-Sánchez, Álvaro Mixed integer programming model for optimizing the layout of an ICU vehicle |
title | Mixed integer programming model for optimizing the layout of an ICU vehicle |
title_full | Mixed integer programming model for optimizing the layout of an ICU vehicle |
title_fullStr | Mixed integer programming model for optimizing the layout of an ICU vehicle |
title_full_unstemmed | Mixed integer programming model for optimizing the layout of an ICU vehicle |
title_short | Mixed integer programming model for optimizing the layout of an ICU vehicle |
title_sort | mixed integer programming model for optimizing the layout of an icu vehicle |
topic | Research article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2797005/ https://www.ncbi.nlm.nih.gov/pubmed/19995438 http://dx.doi.org/10.1186/1472-6963-9-224 |
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