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Optimizing facility location, sizing, and growth time for a cultivated resource: A case study in coral aquaculture
Production of cultivated resources require additional planning that takes growth time into account. We formulate a mathematical programming model to determine the optimal location and sizing of growth facilities, impacted by resource survival rate as a function of its growth time. Our method informs...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016709/ https://www.ncbi.nlm.nih.gov/pubmed/36921005 http://dx.doi.org/10.1371/journal.pone.0282668 |
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author | Lippmann, Ryu B. Helmstedt, Kate J. Gibbs, Mark T. Corry, Paul |
author_facet | Lippmann, Ryu B. Helmstedt, Kate J. Gibbs, Mark T. Corry, Paul |
author_sort | Lippmann, Ryu B. |
collection | PubMed |
description | Production of cultivated resources require additional planning that takes growth time into account. We formulate a mathematical programming model to determine the optimal location and sizing of growth facilities, impacted by resource survival rate as a function of its growth time. Our method informs strategic decisions regarding the number, location, and sizing of facilities, as well as operational decisions of optimal growth time for a cultivated resource in a facility to minimize total costs. We solve this facility location and sizing problem in the context of coral aquaculture for large-scale reef restoration using a two-stage algorithm and a linear mixed-integer solver. We assess growth time in a facility in terms of its impact on survival (post-deployment) considering growth quantity requirements and growth facility production constraints. We explore the sensitivity of optimal facility number, location, and sizing to changes in the geographic distribution of demand and cost parameters computationally. Results show that the relationship between growth time and survival is critical to optimizing operational decisions for grown resources. These results inform the value of data certainty to optimize the logistics of coral aquaculture production. |
format | Online Article Text |
id | pubmed-10016709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100167092023-03-16 Optimizing facility location, sizing, and growth time for a cultivated resource: A case study in coral aquaculture Lippmann, Ryu B. Helmstedt, Kate J. Gibbs, Mark T. Corry, Paul PLoS One Research Article Production of cultivated resources require additional planning that takes growth time into account. We formulate a mathematical programming model to determine the optimal location and sizing of growth facilities, impacted by resource survival rate as a function of its growth time. Our method informs strategic decisions regarding the number, location, and sizing of facilities, as well as operational decisions of optimal growth time for a cultivated resource in a facility to minimize total costs. We solve this facility location and sizing problem in the context of coral aquaculture for large-scale reef restoration using a two-stage algorithm and a linear mixed-integer solver. We assess growth time in a facility in terms of its impact on survival (post-deployment) considering growth quantity requirements and growth facility production constraints. We explore the sensitivity of optimal facility number, location, and sizing to changes in the geographic distribution of demand and cost parameters computationally. Results show that the relationship between growth time and survival is critical to optimizing operational decisions for grown resources. These results inform the value of data certainty to optimize the logistics of coral aquaculture production. Public Library of Science 2023-03-15 /pmc/articles/PMC10016709/ /pubmed/36921005 http://dx.doi.org/10.1371/journal.pone.0282668 Text en © 2023 Lippmann et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lippmann, Ryu B. Helmstedt, Kate J. Gibbs, Mark T. Corry, Paul Optimizing facility location, sizing, and growth time for a cultivated resource: A case study in coral aquaculture |
title | Optimizing facility location, sizing, and growth time for a cultivated resource: A case study in coral aquaculture |
title_full | Optimizing facility location, sizing, and growth time for a cultivated resource: A case study in coral aquaculture |
title_fullStr | Optimizing facility location, sizing, and growth time for a cultivated resource: A case study in coral aquaculture |
title_full_unstemmed | Optimizing facility location, sizing, and growth time for a cultivated resource: A case study in coral aquaculture |
title_short | Optimizing facility location, sizing, and growth time for a cultivated resource: A case study in coral aquaculture |
title_sort | optimizing facility location, sizing, and growth time for a cultivated resource: a case study in coral aquaculture |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016709/ https://www.ncbi.nlm.nih.gov/pubmed/36921005 http://dx.doi.org/10.1371/journal.pone.0282668 |
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