A Multi Period Stochastic Model to Link the Supply Chain with the Production Plan in a Manufacturing Organization.
In this document we considered a model for short term production planning in a market of consumer goods. The model assumes a variable number of manufacturing plants, distribution centers, retailers, and the corresponding supply chain of the system. These bring a range of varied products to meet a ra...
| Autor: | |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2011 |
| País: | México |
| Institución: | Universidad Autónoma del Estado de Hidalgo |
| Repositorio: | Repostorio Institucional UAEH |
| OAI Identifier: | oai:repository.uaeh.edu.mx:123456789/7969 |
| Acceso en línea: | http://repository.uaeh.edu.mx/bitstream/handle/123456789/7969 |
| Access Level: | acceso abierto |
| Palabra clave: | Automatización y Optimización de Sistemas de Mmanufactura |
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A Multi Period Stochastic Model to Link the Supply Chain with the Production Plan in a Manufacturing Organization.Karelin n, OleksandrAutomatización y Optimización de Sistemas de MmanufacturaIn this document we considered a model for short term production planning in a market of consumer goods. The model assumes a variable number of manufacturing plants, distribution centers, retailers, and the corresponding supply chain of the system. These bring a range of varied products to meet a random demand on a weekly basis. Each source has its own manufacturing costs, production capacities and delivery commitments to the retailers. We develop a strategy for building a global production plan that meets a certain level of customer service. Our proposal is based on a mixed integer linear programming model with a stochastic approach that meets weekly demand requirements at minimum cost, subject to the requirements of inventory, production capacity and delivery capabilities of the supply chain. The objective function includes fixed and variable costs of production generated in the manufacturer plants, costs of sending materials, and inventory holding costs. To optimize the model we use a commercial software and then, we explore the probability distribution associated with the cost function. We illustrate our proposal with a numerical example reporting the theoretical and practical results.2013-11-04T22:00:42Z2013-11-04T22:00:42Z2011info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfPérez, G. flores, C.F. Karelin, O. Tarasenko, A.http://repository.uaeh.edu.mx/bitstream/handle/123456789/7969reponame:Repostorio Institucional UAEHinstname:Universidad Autónoma del Estado de Hidalgoinstacron:UAEHesinfo:eu-repo/semantics/openAccessoai:repository.uaeh.edu.mx:123456789/79692024-01-12T16:02:20Z |
| dc.title.none.fl_str_mv |
A Multi Period Stochastic Model to Link the Supply Chain with the Production Plan in a Manufacturing Organization. |
| title |
A Multi Period Stochastic Model to Link the Supply Chain with the Production Plan in a Manufacturing Organization. |
| spellingShingle |
A Multi Period Stochastic Model to Link the Supply Chain with the Production Plan in a Manufacturing Organization. Karelin n, Oleksandr Automatización y Optimización de Sistemas de Mmanufactura |
| title_short |
A Multi Period Stochastic Model to Link the Supply Chain with the Production Plan in a Manufacturing Organization. |
| title_full |
A Multi Period Stochastic Model to Link the Supply Chain with the Production Plan in a Manufacturing Organization. |
| title_fullStr |
A Multi Period Stochastic Model to Link the Supply Chain with the Production Plan in a Manufacturing Organization. |
| title_full_unstemmed |
A Multi Period Stochastic Model to Link the Supply Chain with the Production Plan in a Manufacturing Organization. |
| title_sort |
A Multi Period Stochastic Model to Link the Supply Chain with the Production Plan in a Manufacturing Organization. |
| dc.creator.none.fl_str_mv |
Karelin n, Oleksandr |
| author |
Karelin n, Oleksandr |
| author_facet |
Karelin n, Oleksandr |
| author_role |
author |
| dc.subject.none.fl_str_mv |
Automatización y Optimización de Sistemas de Mmanufactura |
| topic |
Automatización y Optimización de Sistemas de Mmanufactura |
| description |
In this document we considered a model for short term production planning in a market of consumer goods. The model assumes a variable number of manufacturing plants, distribution centers, retailers, and the corresponding supply chain of the system. These bring a range of varied products to meet a random demand on a weekly basis. Each source has its own manufacturing costs, production capacities and delivery commitments to the retailers. We develop a strategy for building a global production plan that meets a certain level of customer service. Our proposal is based on a mixed integer linear programming model with a stochastic approach that meets weekly demand requirements at minimum cost, subject to the requirements of inventory, production capacity and delivery capabilities of the supply chain. The objective function includes fixed and variable costs of production generated in the manufacturer plants, costs of sending materials, and inventory holding costs. To optimize the model we use a commercial software and then, we explore the probability distribution associated with the cost function. We illustrate our proposal with a numerical example reporting the theoretical and practical results. |
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2011 |
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2011 2013-11-04T22:00:42Z 2013-11-04T22:00:42Z |
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info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
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article |
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publishedVersion |
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Pérez, G. flores, C.F. Karelin, O. Tarasenko, A. http://repository.uaeh.edu.mx/bitstream/handle/123456789/7969 |
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Pérez, G. flores, C.F. Karelin, O. Tarasenko, A. |
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http://repository.uaeh.edu.mx/bitstream/handle/123456789/7969 |
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