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...

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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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dc.title.spa.fl_str_mv 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.
publishDate 2020
dc.date.issued.none.fl_str_mv 2020
dc.date.accessioned.none.fl_str_mv 2021-02-04T16:12:53Z
dc.date.available.none.fl_str_mv 2021-02-04T16:12:53Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.doi.spa.fl_str_mv Digitahttp://dx.doi.org/10.18687/LACCEI2020.1.1.369
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
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url https://hdl.handle.net/11323/7824
https://repositorio.cuc.edu.co/
identifier_str_mv Digitahttp://dx.doi.org/10.18687/LACCEI2020.1.1.369
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv [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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spelling Coronado-Hernandez, Jairo R.de la Hoz, LauraLeyva, JaimeRamos, MaríaZapatero, Orlando2021-02-04T16:12:53Z2021-02-04T16:12:53Z2020https://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.Coronado-Hernandez, Jairo R.-will be generated-orcid-0000-0003-4360-6128-600de la Hoz, LauraLeyva, JaimeRamos, MaríaZapatero, Orlandoapplication/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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