A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology
- Autores
- Coccola, Mariana Evangelina; Mendez, Carlos Alberto; Dondo, Rodolfo Gabriel
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Fluid chemicals are usually distributed according two main methodologies; the vendor managed inventory modality and the order-based re-supply modality. In this paper, the problem of optimizing the delivery of fluids by tanker trucks on a daily basis according the order-basedresupply methodology is addressed. According to this modality, replenishment orders are triggered by customers specifying the quantity of fluids and time-windows within which the delivery must be fulfilled. The objective is to minimize the replenishment cost while meeting customers orders over the pre-defined time-horizon. An Integer Program modelling the problem is proposed and used to develop an incomplete branch & price procedure with the purpose of finding near optimal solutions to instances arising from realistic examples. A computational study on realistic examples with different topologies demonstrates that the method is effective and able to provide solutions with integrality gaps below the 16% threshold for instances with 120 orders.
Fil: Coccola, Mariana Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina. Universidad Nacional del Litoral; Argentina
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina. Universidad Nacional del Litoral; Argentina
Fil: Dondo, Rodolfo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina. Universidad Nacional del Litoral; Argentina - Materia
-
Distribution of Fluids
Incomplete Branch-And-Price
Inventory Constraints
Order-Based-Resupply - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
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- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/43676
Ver los metadatos del registro completo
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A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodologyCoccola, Mariana EvangelinaMendez, Carlos AlbertoDondo, Rodolfo GabrielDistribution of FluidsIncomplete Branch-And-PriceInventory ConstraintsOrder-Based-Resupplyhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Fluid chemicals are usually distributed according two main methodologies; the vendor managed inventory modality and the order-based re-supply modality. In this paper, the problem of optimizing the delivery of fluids by tanker trucks on a daily basis according the order-basedresupply methodology is addressed. According to this modality, replenishment orders are triggered by customers specifying the quantity of fluids and time-windows within which the delivery must be fulfilled. The objective is to minimize the replenishment cost while meeting customers orders over the pre-defined time-horizon. An Integer Program modelling the problem is proposed and used to develop an incomplete branch & price procedure with the purpose of finding near optimal solutions to instances arising from realistic examples. A computational study on realistic examples with different topologies demonstrates that the method is effective and able to provide solutions with integrality gaps below the 16% threshold for instances with 120 orders.Fil: Coccola, Mariana Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina. Universidad Nacional del Litoral; ArgentinaFil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina. Universidad Nacional del Litoral; ArgentinaFil: Dondo, Rodolfo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina. Universidad Nacional del Litoral; ArgentinaPergamon-Elsevier Science Ltd2017-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/43676Coccola, Mariana Evangelina; Mendez, Carlos Alberto; Dondo, Rodolfo Gabriel; A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 106; 11-2017; 373-3840098-1354CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2017.06.022info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-12T09:37:51Zoai:ri.conicet.gov.ar:11336/43676instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-12 09:37:51.634CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology |
| title |
A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology |
| spellingShingle |
A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology Coccola, Mariana Evangelina Distribution of Fluids Incomplete Branch-And-Price Inventory Constraints Order-Based-Resupply |
| title_short |
A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology |
| title_full |
A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology |
| title_fullStr |
A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology |
| title_full_unstemmed |
A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology |
| title_sort |
A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology |
| dc.creator.none.fl_str_mv |
Coccola, Mariana Evangelina Mendez, Carlos Alberto Dondo, Rodolfo Gabriel |
| author |
Coccola, Mariana Evangelina |
| author_facet |
Coccola, Mariana Evangelina Mendez, Carlos Alberto Dondo, Rodolfo Gabriel |
| author_role |
author |
| author2 |
Mendez, Carlos Alberto Dondo, Rodolfo Gabriel |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Distribution of Fluids Incomplete Branch-And-Price Inventory Constraints Order-Based-Resupply |
| topic |
Distribution of Fluids Incomplete Branch-And-Price Inventory Constraints Order-Based-Resupply |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
| dc.description.none.fl_txt_mv |
Fluid chemicals are usually distributed according two main methodologies; the vendor managed inventory modality and the order-based re-supply modality. In this paper, the problem of optimizing the delivery of fluids by tanker trucks on a daily basis according the order-basedresupply methodology is addressed. According to this modality, replenishment orders are triggered by customers specifying the quantity of fluids and time-windows within which the delivery must be fulfilled. The objective is to minimize the replenishment cost while meeting customers orders over the pre-defined time-horizon. An Integer Program modelling the problem is proposed and used to develop an incomplete branch & price procedure with the purpose of finding near optimal solutions to instances arising from realistic examples. A computational study on realistic examples with different topologies demonstrates that the method is effective and able to provide solutions with integrality gaps below the 16% threshold for instances with 120 orders. Fil: Coccola, Mariana Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina. Universidad Nacional del Litoral; Argentina Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina. Universidad Nacional del Litoral; Argentina Fil: Dondo, Rodolfo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina. Universidad Nacional del Litoral; Argentina |
| description |
Fluid chemicals are usually distributed according two main methodologies; the vendor managed inventory modality and the order-based re-supply modality. In this paper, the problem of optimizing the delivery of fluids by tanker trucks on a daily basis according the order-basedresupply methodology is addressed. According to this modality, replenishment orders are triggered by customers specifying the quantity of fluids and time-windows within which the delivery must be fulfilled. The objective is to minimize the replenishment cost while meeting customers orders over the pre-defined time-horizon. An Integer Program modelling the problem is proposed and used to develop an incomplete branch & price procedure with the purpose of finding near optimal solutions to instances arising from realistic examples. A computational study on realistic examples with different topologies demonstrates that the method is effective and able to provide solutions with integrality gaps below the 16% threshold for instances with 120 orders. |
| publishDate |
2017 |
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2017-11 |
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http://hdl.handle.net/11336/43676 Coccola, Mariana Evangelina; Mendez, Carlos Alberto; Dondo, Rodolfo Gabriel; A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 106; 11-2017; 373-384 0098-1354 CONICET Digital CONICET |
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http://hdl.handle.net/11336/43676 |
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Coccola, Mariana Evangelina; Mendez, Carlos Alberto; Dondo, Rodolfo Gabriel; A decomposition framework for managing inventory and distribution of fluid products by an order-based-resupply methodology; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 106; 11-2017; 373-384 0098-1354 CONICET Digital CONICET |
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eng |
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