Linear programming model to minimize the production costs of an adhesive tape company
Production in large quantities of different varieties of products creates issues in finding an optimal planning solution. Adhesive tapes companies face that challenge. A multi-phased methodology is proposed to minimize production costs. In this it is considered different production variables. First...
- Autores:
-
Coronado-Hernandez, Jairo R.
de la Hoz, Laura
Leyva, Jaime
Ramos, María
Zapatero, Orlando
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7824
- Acceso en línea:
- https://hdl.handle.net/11323/7824
https://repositorio.cuc.edu.co/
- Palabra clave:
- Aggregate planning
linear programming model
production
costs minimization
adhesive tapes
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
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Linear programming model to minimize the production costs of an adhesive tape company |
| title |
Linear programming model to minimize the production costs of an adhesive tape company |
| spellingShingle |
Linear programming model to minimize the production costs of an adhesive tape company Aggregate planning linear programming model production costs minimization adhesive tapes |
| title_short |
Linear programming model to minimize the production costs of an adhesive tape company |
| title_full |
Linear programming model to minimize the production costs of an adhesive tape company |
| title_fullStr |
Linear programming model to minimize the production costs of an adhesive tape company |
| title_full_unstemmed |
Linear programming model to minimize the production costs of an adhesive tape company |
| title_sort |
Linear programming model to minimize the production costs of an adhesive tape company |
| dc.creator.fl_str_mv |
Coronado-Hernandez, Jairo R. de la Hoz, Laura Leyva, Jaime Ramos, María Zapatero, Orlando |
| dc.contributor.author.spa.fl_str_mv |
Coronado-Hernandez, Jairo R. de la Hoz, Laura Leyva, Jaime Ramos, María Zapatero, Orlando |
| dc.subject.spa.fl_str_mv |
Aggregate planning linear programming model production costs minimization adhesive tapes |
| topic |
Aggregate planning linear programming model production costs minimization adhesive tapes |
| description |
Production in large quantities of different varieties of products creates issues in finding an optimal planning solution. Adhesive tapes companies face that challenge. A multi-phased methodology is proposed to minimize production costs. In this it is considered different production variables. First phase divided a problem into subproblems to minimize computational complexity through an incidence matrix. Second phase formulated a linear programming model to determine production optimal batch sizes. Consequently, model is applied in a real company. Results showed a decrease in production costs in a range of 14%-43% for the different manufactured groups of components. In this way it is expected that more companies can apply similar models to improve their production indicators. |
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2020 |
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2020 |
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2021-02-04T16:12:53Z |
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2021-02-04T16:12:53Z |
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Digitahttp://dx.doi.org/10.18687/LACCEI2020.1.1.369 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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Digitahttp://dx.doi.org/10.18687/LACCEI2020.1.1.369 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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[1] Markets and markets, “Adhesive Tapes Market by Resin Type & Technology - Global Forecast 2022 | MarketsandMarkets,” 2019. [Online]. Available: https://www.marketsandmarkets.com/MarketReports/adhesive-tapes-market251563138.html?gclid=Cj0KCQiAmsrxBRDaARIsANyiD1pnFZH ZBVHeUYsjYAjsGG5K6fF43wi84nVW75RA3WfSJOqf94tE7lUa AiVdEALw_wcB. [Accessed: 30-Jan-2020]. [2] J. P. Reyes Vasquez and C. G. Molina Velis, “Plan Agregado de Producción Mediante el Uso de un Algoritmo de Programación Lineal: Un caso de Estudio,” Rev. Politécnica, vol. 34, no. 1, pp. 1– 7, 2014 [3] D. Cáceres, J. Reyes, and M. García, “Modelo de Programación Lineal para Planeación de Requerimiento de Materiales,” Rev. Tecnológica ESPOL – RTE, vol. 28, no. Septiembre, pp. 24–33, 2015. [4] Y. R. Zotelo, J. Mula, M. Díaz-Madroñero, and E. G. González, “Plan maestro de producción basado en programación lineal entera para una empresa de productos químicos,” Rev. Métodos Cuantitativos para la Econ. y la Empres., vol. 24, pp. 147–168, 2017. [5] W. A. Sarache, “El proceso de planificación, programación y control de la producción. Una aproximación teórica y conceptual,” Manizales, 2003. [6] N. Gaither and G. Frazier, Administración de producción y operaciones. International Thomson, 2000. [7] J. Heizer and B. Render, Principios de Administración de Operaciones, 7th ed. México D.F.. México, 2009. [8] S. Nahmias, Análisis de la producción y las operaciones, 5th ed. México D.F.. México, 2007 [9] J. Mula, R. Poler, G. S. García-Sabater, and F. C. Lario, “Models for production planning under uncertainty: A review,” Int. J. Prod. Econ., vol. 103, no. 1, pp. 271–285, 2006. [10] M. D. A. Serna, C. V. Rodríguez, and H. G. Montoya, “Modelización difusa para la planificación agregada de la producción en ambientes de incertidumbre,” DYNA, vol. 77, no. 162, pp. 397–409, 2010. [11] C. Gomes da Silva, J. Figueira, J. Lisboa, and S. Barman, “An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming,” Omega, vol. 34, no. 2, pp. 167–177, 2006. [12] J. R. Coronado-Hernandez, D. Simancas-Mateus, K. AvilaMartinez, and J. P. Garcia-Sabater, “Heuristic for material and operations planning in supply chains with alternative product |
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Coronado-Hernandez, Jairo R.4039770e4b2bb67db847a0f1e883fa7dde la Hoz, Laurac9fe6ab4ad8f1da3f558b46b7da7705bLeyva, Jaimeb692cd9a20f19dc45844f90fc40ad783Ramos, Maríaafaace9d86a62cbd2a7aec912228c505Zapatero, Orlando4dc70288960d00dfb2d1f066306181582021-02-04T16:12:53Z2021-02-04T16:12:53Z2020https://hdl.handle.net/11323/7824Digitahttp://dx.doi.org/10.18687/LACCEI2020.1.1.369Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Production in large quantities of different varieties of products creates issues in finding an optimal planning solution. Adhesive tapes companies face that challenge. A multi-phased methodology is proposed to minimize production costs. In this it is considered different production variables. First phase divided a problem into subproblems to minimize computational complexity through an incidence matrix. Second phase formulated a linear programming model to determine production optimal batch sizes. Consequently, model is applied in a real company. Results showed a decrease in production costs in a range of 14%-43% for the different manufactured groups of components. In this way it is expected that more companies can apply similar models to improve their production indicators.application/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Education, and Technologyhttp://laccei.org/LACCEI2020-VirtualEdition/full_papers/FP369.pdfAggregate planninglinear programming modelproductioncosts minimizationadhesive tapesLinear programming model to minimize the production costs of an adhesive tape companyArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion[1] Markets and markets, “Adhesive Tapes Market by Resin Type & Technology - Global Forecast 2022 | MarketsandMarkets,” 2019. [Online]. Available: https://www.marketsandmarkets.com/MarketReports/adhesive-tapes-market251563138.html?gclid=Cj0KCQiAmsrxBRDaARIsANyiD1pnFZH ZBVHeUYsjYAjsGG5K6fF43wi84nVW75RA3WfSJOqf94tE7lUa AiVdEALw_wcB. [Accessed: 30-Jan-2020].[2] J. P. Reyes Vasquez and C. G. Molina Velis, “Plan Agregado de Producción Mediante el Uso de un Algoritmo de Programación Lineal: Un caso de Estudio,” Rev. Politécnica, vol. 34, no. 1, pp. 1– 7, 2014[3] D. Cáceres, J. Reyes, and M. García, “Modelo de Programación Lineal para Planeación de Requerimiento de Materiales,” Rev. Tecnológica ESPOL – RTE, vol. 28, no. Septiembre, pp. 24–33, 2015.[4] Y. R. Zotelo, J. Mula, M. Díaz-Madroñero, and E. G. González, “Plan maestro de producción basado en programación lineal entera para una empresa de productos químicos,” Rev. Métodos Cuantitativos para la Econ. y la Empres., vol. 24, pp. 147–168, 2017.[5] W. A. Sarache, “El proceso de planificación, programación y control de la producción. Una aproximación teórica y conceptual,” Manizales, 2003.[6] N. Gaither and G. Frazier, Administración de producción y operaciones. International Thomson, 2000.[7] J. Heizer and B. Render, Principios de Administración de Operaciones, 7th ed. México D.F.. México, 2009.[8] S. Nahmias, Análisis de la producción y las operaciones, 5th ed. México D.F.. México, 2007[9] J. Mula, R. Poler, G. S. García-Sabater, and F. C. Lario, “Models for production planning under uncertainty: A review,” Int. J. Prod. Econ., vol. 103, no. 1, pp. 271–285, 2006.[10] M. D. A. Serna, C. V. Rodríguez, and H. G. Montoya, “Modelización difusa para la planificación agregada de la producción en ambientes de incertidumbre,” DYNA, vol. 77, no. 162, pp. 397–409, 2010.[11] C. Gomes da Silva, J. Figueira, J. Lisboa, and S. Barman, “An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming,” Omega, vol. 34, no. 2, pp. 167–177, 2006.[12] J. R. Coronado-Hernandez, D. Simancas-Mateus, K. AvilaMartinez, and J. P. 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