A Simulation Model for Capacity Planning of Nuclear Fuel Plants for Research Reactors
The demand for nuclear fuel for research reactors is increasing worldwide. However, some nuclear fuel factories have small production volumes. There is a gap in the literature regarding how to expand capacity of those facilities in a safe and reliable way. Thus, the purpose of this work is to propos...
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| Format: | Article |
| Language: | English |
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Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)
2021-03-01
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| Series: | Brazilian Journal of Radiation Sciences |
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| Online Access: | https://bjrs.org.br/revista/index.php/REVISTA/article/view/1588 |
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| author | Miguel Negro Michelangelo Durazzo Marco Mesquita Nikolas Scuro Elita Carvalho Delvonei Andrade |
| author_facet | Miguel Negro Michelangelo Durazzo Marco Mesquita Nikolas Scuro Elita Carvalho Delvonei Andrade |
| author_sort | Miguel Negro |
| collection | DOAJ |
| description | The demand for nuclear fuel for research reactors is increasing worldwide. However, some nuclear fuel factories have small production volumes. There is a gap in the literature regarding how to expand capacity of those facilities in a safe and reliable way. Thus, the purpose of this work is to propose and validate a conceptual model to increase the production capacity of these factories. We addressed factories that produce plate-type fuel elements loaded with LEU U3Si2-Al, which are typically used in nuclear research reactors. We collected data from a real nuclear fuel plant and applied the model to that data, i.e., we set up a case study. We developed two different strategies for the use of the model, thus generating several production scenarios. Each scenario is an experiment of the different possibilities to enlarge the capacity. We applied discrete events simulation in order to cover all production scenarios. Our tests indicated significant increases in productive capacity, thus showing that the model has fully achieved its proposed objective. One of the main conclusions that we point out is the model’s effectiveness. That effectiveness was demonstrated by using the model in two different strategies and obtaining increases in capacity with both of them. |
| format | Article |
| id | doaj-art-6cfc5b76a07b451085b30dbb2c16d9d6 |
| institution | DOAJ |
| issn | 2319-0612 |
| language | English |
| publishDate | 2021-03-01 |
| publisher | Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR) |
| record_format | Article |
| series | Brazilian Journal of Radiation Sciences |
| spelling | doaj-art-6cfc5b76a07b451085b30dbb2c16d9d62025-08-20T02:39:14ZengBrazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)Brazilian Journal of Radiation Sciences2319-06122021-03-019110.15392/bjrs.v9i1.15881241A Simulation Model for Capacity Planning of Nuclear Fuel Plants for Research ReactorsMiguel Negro0Michelangelo DurazzoMarco MesquitaNikolas ScuroElita CarvalhoDelvonei AndradeNuclear and Energy Research Institute IPEN - CNEN/SPThe demand for nuclear fuel for research reactors is increasing worldwide. However, some nuclear fuel factories have small production volumes. There is a gap in the literature regarding how to expand capacity of those facilities in a safe and reliable way. Thus, the purpose of this work is to propose and validate a conceptual model to increase the production capacity of these factories. We addressed factories that produce plate-type fuel elements loaded with LEU U3Si2-Al, which are typically used in nuclear research reactors. We collected data from a real nuclear fuel plant and applied the model to that data, i.e., we set up a case study. We developed two different strategies for the use of the model, thus generating several production scenarios. Each scenario is an experiment of the different possibilities to enlarge the capacity. We applied discrete events simulation in order to cover all production scenarios. Our tests indicated significant increases in productive capacity, thus showing that the model has fully achieved its proposed objective. One of the main conclusions that we point out is the model’s effectiveness. That effectiveness was demonstrated by using the model in two different strategies and obtaining increases in capacity with both of them.https://bjrs.org.br/revista/index.php/REVISTA/article/view/1588keywordsfactories of nuclear fuelnuclear research reactorsproductive capacity management. |
| spellingShingle | Miguel Negro Michelangelo Durazzo Marco Mesquita Nikolas Scuro Elita Carvalho Delvonei Andrade A Simulation Model for Capacity Planning of Nuclear Fuel Plants for Research Reactors Brazilian Journal of Radiation Sciences keywords factories of nuclear fuel nuclear research reactors productive capacity management. |
| title | A Simulation Model for Capacity Planning of Nuclear Fuel Plants for Research Reactors |
| title_full | A Simulation Model for Capacity Planning of Nuclear Fuel Plants for Research Reactors |
| title_fullStr | A Simulation Model for Capacity Planning of Nuclear Fuel Plants for Research Reactors |
| title_full_unstemmed | A Simulation Model for Capacity Planning of Nuclear Fuel Plants for Research Reactors |
| title_short | A Simulation Model for Capacity Planning of Nuclear Fuel Plants for Research Reactors |
| title_sort | simulation model for capacity planning of nuclear fuel plants for research reactors |
| topic | keywords factories of nuclear fuel nuclear research reactors productive capacity management. |
| url | https://bjrs.org.br/revista/index.php/REVISTA/article/view/1588 |
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