Linear programming model for production costminimization at a rice crop products manufacturer
Companies in general must establish processes that generate profitabil-ity at lower costs. Manufacturing of rice crop protection products requires majorinvestments and resource planning, including infrastructure, raw materials, tech-nology, human resources, tests and trials, among others, which repr...
- Autores:
-
Coronado-Hernández, Jairo R.
Olarte Jiménez, Leonardo J
Herrera Fontalvo, Zulmeira
Cómbita Niño, Johana
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9230
- Acceso en línea:
- https://hdl.handle.net/11323/9230
https://doi.org/10.1007/978-3-030-86702-7_29
https://repositorio.cuc.edu.co/
- Palabra clave:
- Lineal programming
Rice crop
Production
Cost reduction
Production planning
- Rights
- embargoedAccess
- License
- © 2021 Springer Nature Switzerland AG
| id |
RCUC2_4f6e0fbdd42a3811c970c24286200087 |
|---|---|
| oai_identifier_str |
oai:repositorio.cuc.edu.co:11323/9230 |
| network_acronym_str |
RCUC2 |
| network_name_str |
REDICUC - Repositorio CUC |
| repository_id_str |
|
| dc.title.eng.fl_str_mv |
Linear programming model for production costminimization at a rice crop products manufacturer |
| title |
Linear programming model for production costminimization at a rice crop products manufacturer |
| spellingShingle |
Linear programming model for production costminimization at a rice crop products manufacturer Lineal programming Rice crop Production Cost reduction Production planning |
| title_short |
Linear programming model for production costminimization at a rice crop products manufacturer |
| title_full |
Linear programming model for production costminimization at a rice crop products manufacturer |
| title_fullStr |
Linear programming model for production costminimization at a rice crop products manufacturer |
| title_full_unstemmed |
Linear programming model for production costminimization at a rice crop products manufacturer |
| title_sort |
Linear programming model for production costminimization at a rice crop products manufacturer |
| dc.creator.fl_str_mv |
Coronado-Hernández, Jairo R. Olarte Jiménez, Leonardo J Herrera Fontalvo, Zulmeira Cómbita Niño, Johana |
| dc.contributor.author.spa.fl_str_mv |
Coronado-Hernández, Jairo R. Olarte Jiménez, Leonardo J Herrera Fontalvo, Zulmeira Cómbita Niño, Johana |
| dc.subject.proposal.eng.fl_str_mv |
Lineal programming Rice crop Production Cost reduction Production planning |
| topic |
Lineal programming Rice crop Production Cost reduction Production planning |
| description |
Companies in general must establish processes that generate profitabil-ity at lower costs. Manufacturing of rice crop protection products requires majorinvestments and resource planning, including infrastructure, raw materials, tech-nology, human resources, tests and trials, among others, which represents a majorchallenge. This paper proposes a methodology that aims to minimize productioncosts taking different factors into consideration. The first section identifies anddescribes the variables required for modeling. In the second section a linear pro-gramming model is formulated to determine the optimal function in terms of costreduction. Lastly, the model was applied at a real company, producing satisfactoryresults in terms of an improved production plan and an 11% cost reduction, whileenabling viewing the variables with greatest impact, such as storage and shift pro-gramming, with cost reductions of 68% and 44%, respectively. The purpose is toassist companies in this industry in applying mathematical programming modelsto solve problems and enable better resource planning to improve profitability |
| publishDate |
2021 |
| dc.date.issued.none.fl_str_mv |
2021-09-29 |
| dc.date.accessioned.none.fl_str_mv |
2022-06-09T16:04:20Z |
| dc.date.available.none.fl_str_mv |
2022-09-29 2022-06-09T16:04:20Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
| format |
http://purl.org/coar/resource_type/c_6501 |
| status_str |
acceptedVersion |
| dc.identifier.citation.spa.fl_str_mv |
Coronado-Hernández, J.R., Olarte-Jiménez, L.J., Herrera-Fontalvo, Z., Niño, J.C. (2021). Linear Programming Model for Production Cost Minimization at a Rice Crop Products Manufacturer. In: Figueroa-García, J.C., Díaz-Gutierrez, Y., Gaona-García, E.E., Orjuela-Cañón, A.D. (eds) Applied Computer Sciences in Engineering. WEA 2021. Communications in Computer and Information Science, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-030-86702-7_29 |
| dc.identifier.issn.spa.fl_str_mv |
1865-0929 |
| dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/9230 |
| dc.identifier.url.spa.fl_str_mv |
https://doi.org/10.1007/978-3-030-86702-7_29 |
| dc.identifier.doi.spa.fl_str_mv |
10.1007/978-3-030-86702-7_29 |
| dc.identifier.eissn.spa.fl_str_mv |
1865-0937 |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
| dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
Coronado-Hernández, J.R., Olarte-Jiménez, L.J., Herrera-Fontalvo, Z., Niño, J.C. (2021). Linear Programming Model for Production Cost Minimization at a Rice Crop Products Manufacturer. In: Figueroa-García, J.C., Díaz-Gutierrez, Y., Gaona-García, E.E., Orjuela-Cañón, A.D. (eds) Applied Computer Sciences in Engineering. WEA 2021. Communications in Computer and Information Science, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-030-86702-7_29 1865-0929 10.1007/978-3-030-86702-7_29 1865-0937 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| url |
https://hdl.handle.net/11323/9230 https://doi.org/10.1007/978-3-030-86702-7_29 https://repositorio.cuc.edu.co/ |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Communications in Computer and Information Science |
| dc.relation.references.spa.fl_str_mv |
1. Market Research.https://marketresearch.biz/report/crop-protection-chemicals-market/.Accessed 29 Mar 2021 2. Universidad ESAN.https://www.esan.edu.pe/apuntes-empresariales/2016/07/reduccion-de-costos-con-eficiencia/. Accessed 29 Mar 2021 3. Camino Financial.https://www.caminofinancial.com/es/como-reducir-los-costos-de-produccion-de-tu-empresa/. Accessed 29 Mar 2021 4. Paredes Roldán J.: Planificación y control de la producción, 1ra edn. IDIUC, Instituto de Investigación Universidad de Cuenca (2001) 5. Frontoni, E., Marinelli, F., Rosetti, R., Zingaretti, V.: Optimal stock control and procurementby reusing of obsolescences in manufacturing. Comput. Ind. Eng.148(2020).https://doi.org/10.1016/j.cie.2020.106697 6. Peña, I., Santa Cruz, R.: Modelo de Planeación de la Producción para una EmpresaAgroindustrial. Acta Nov.1(2), 181–189 (2001) 7. Cáceres, D., Reyes, J., García, M.: Modelo de Programación Lineal para Planeación de Requerimiento de Materiales. Rev. Tecnológica ESPOL – RTE28, 24–33 (2015) 8. Sabah, B., Nikolay, T., Sylverin, K. T.: Production planning under demand uncertainty usingMonte Carlo simulation approach: a case study in fertilizer industry. In: Proceedings of the2019 International Conference on Industrial Engineering and Systems Management, IESM, pp. 1–5 (2019).https://doi.org/10.1109/IESM45758.2019.8948112 9. Marimin, M., Zavira, R.: Production planning of crude palm oil: a study case at X Co.IOP Conf. Ser.: Earth Environ. Sci.472(1) (2020).https://doi.org/10.1088/1755-1315/472/1/012047 10. Valencia, E.T., Lamouri, S., Pellerin, R., Dubois, P., Moeuf, A.: Production planning inthe fourth industrial revolution: a literature review. IFAC-PapersOnLine52(13), 2158–2163(2019).https://doi.org/10.1016/j.ifacol.2019.11.525 11. Schuh, G., Prote, J.P., Sauermann, F., Franzkoch, B.: Databased prediction of order-specifictransition times. CIRP Ann.68(1), 467–470 (2019).https://doi.org/10.1016/j.cirp.2019.03.008 12. Hahn, G.J., Brandenburg, M.: A sustainable aggregate production planning model for thechemical process industry. Comput. Oper. Res.94, 154–168 (2018).https://doi.org/10.1016/j.cor.2017.12.011 13. Charoenponyarrat, D., Somboonwiwat, T.: Aggregate planning in canned pineapple produc-tion lines. In: 2018 5th International Conference on Industrial Engineering and Applications,ICIEA 2018, pp. 349–354 (2018).https://doi.org/10.1109/IEA.2018.8387123 14. Nahmias, S.: Análisis de la producción y las operaciones, 5ta edn. The McGraw-Hill Companies Inc., Mexico (2007) 15. Schito, J., Moncecchi, D., Raubal, M.: Determining transmission line path alternatives usinga valley-finding algorithm. Comput. Environ. Urban Syst.86(2021).https://doi.org/10.1016/j.compenvurbsys.2020.101571 16. Baykaso ̆glu, A., Özbel, B.K.: Modeling and solving a real-world cutting stock problem in themarble industry via mathematical programming and stochastic diffusion search approaches.Comput. Oper. Res.128(2021).https://doi.org/10.1016/j.cor.2020.105173 17. Prifti, V., Dervishi, I., Dhoska, K., Markja, I., Pramono, A.: Minimization of transport costsin an industrial company through linear programming. IOP Conf. Ser. Mater. Sci. Eng.909(1)(2020).https://doi.org/10.1088/1757-899X/909/1/012040 18. Andres, B., Guzman, E., Poler, R.: A novel MILP model for the production, lot sizing, andscheduling of automotive plastic components on parallel flexible injection machines withsetup common operators. Complexity2021, 1–16 (2021).https://doi.org/10.1155/2021/6667516 19. Yudhatama, J., Hakim, I.M.: Truck assembly line reconfiguration to reduce cycle time withlean manufacturing approach in the Indonesian automotive industry. IOP Conf. Ser. Mater.Sci. Eng.1003(1) (2020).https://doi.org/10.1088/1757-899X/1003/1/012101 20. Bellingeri, A., Gallo, A., Liang, D., Masoero, F., Cabrera, V.E.: Development of a linearprogramming model for the optimal allocation of nutritional resources in a dairy herd. J.Dairy Sci.103(11), 10898–10916 (2020).https://doi.org/10.3168/jds.2020-18157 21. Asmara, S., Rahmawati, W., Suharyatun, S., Wibowo, S.A.: Optimalization of upja revenue(business provider services) rice cultivation using linear programing analysis in seputih ramandistrict, central Lampung. IOP Conf. Ser. Earth Environ. Sci.355(1) (2019).https://doi.org/10.1088/1755-1315/355/1/012087 |
| dc.relation.citationendpage.spa.fl_str_mv |
346 |
| dc.relation.citationstartpage.spa.fl_str_mv |
335 |
| dc.relation.citationvolume.spa.fl_str_mv |
1431 |
| dc.rights.spa.fl_str_mv |
© 2021 Springer Nature Switzerland AG Atribución 4.0 Internacional (CC BY 4.0) |
| dc.rights.uri.spa.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
| dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
| dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_f1cf |
| rights_invalid_str_mv |
© 2021 Springer Nature Switzerland AG Atribución 4.0 Internacional (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ http://purl.org/coar/access_right/c_f1cf |
| eu_rights_str_mv |
embargoedAccess |
| dc.format.extent.spa.fl_str_mv |
12 páginas |
| dc.format.mimetype.spa.fl_str_mv |
application/pdf |
| dc.publisher.spa.fl_str_mv |
Springer |
| dc.publisher.place.spa.fl_str_mv |
Germany |
| institution |
Corporación Universidad de la Costa |
| dc.source.url.spa.fl_str_mv |
https://link.springer.com/chapter/10.1007/978-3-030-86702-7_29 |
| bitstream.url.fl_str_mv |
https://repositorio.cuc.edu.co/bitstreams/6fe1d79f-d64d-4a5c-97eb-0eda5048e391/download https://repositorio.cuc.edu.co/bitstreams/afd3ecd7-4268-492f-876d-9579fc1d4bcb/download https://repositorio.cuc.edu.co/bitstreams/4a378ffe-a12f-483d-959c-cc5256a22b40/download https://repositorio.cuc.edu.co/bitstreams/f663f013-4262-4d98-bf40-255826241e17/download |
| bitstream.checksum.fl_str_mv |
3fb3d7837fbeff4730f269b2d972ce45 e30e9215131d99561d40d6b0abbe9bad 3c25c6b58a03effceb0cc0ea53a8edcb 51625f45d592ac514e0a699f973c64ba |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio de la Universidad de la Costa CUC |
| repository.mail.fl_str_mv |
repdigital@cuc.edu.co |
| _version_ |
1811760656420962304 |
| spelling |
Coronado-Hernández, Jairo R.Olarte Jiménez, Leonardo JHerrera Fontalvo, ZulmeiraCómbita Niño, Johana2022-06-09T16:04:20Z2022-09-292022-06-09T16:04:20Z2021-09-29Coronado-Hernández, J.R., Olarte-Jiménez, L.J., Herrera-Fontalvo, Z., Niño, J.C. (2021). Linear Programming Model for Production Cost Minimization at a Rice Crop Products Manufacturer. In: Figueroa-García, J.C., Díaz-Gutierrez, Y., Gaona-García, E.E., Orjuela-Cañón, A.D. (eds) Applied Computer Sciences in Engineering. WEA 2021. Communications in Computer and Information Science, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-030-86702-7_291865-0929https://hdl.handle.net/11323/9230https://doi.org/10.1007/978-3-030-86702-7_2910.1007/978-3-030-86702-7_291865-0937Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Companies in general must establish processes that generate profitabil-ity at lower costs. Manufacturing of rice crop protection products requires majorinvestments and resource planning, including infrastructure, raw materials, tech-nology, human resources, tests and trials, among others, which represents a majorchallenge. This paper proposes a methodology that aims to minimize productioncosts taking different factors into consideration. The first section identifies anddescribes the variables required for modeling. In the second section a linear pro-gramming model is formulated to determine the optimal function in terms of costreduction. Lastly, the model was applied at a real company, producing satisfactoryresults in terms of an improved production plan and an 11% cost reduction, whileenabling viewing the variables with greatest impact, such as storage and shift pro-gramming, with cost reductions of 68% and 44%, respectively. The purpose is toassist companies in this industry in applying mathematical programming modelsto solve problems and enable better resource planning to improve profitability12 páginasapplication/pdfengSpringerGermany© 2021 Springer Nature Switzerland AGAtribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cfLinear programming model for production costminimization at a rice crop products manufacturerArtículo 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/acceptedVersionhttps://link.springer.com/chapter/10.1007/978-3-030-86702-7_29Communications in Computer and Information Science1. Market Research.https://marketresearch.biz/report/crop-protection-chemicals-market/.Accessed 29 Mar 20212. Universidad ESAN.https://www.esan.edu.pe/apuntes-empresariales/2016/07/reduccion-de-costos-con-eficiencia/. Accessed 29 Mar 20213. Camino Financial.https://www.caminofinancial.com/es/como-reducir-los-costos-de-produccion-de-tu-empresa/. Accessed 29 Mar 20214. Paredes Roldán J.: Planificación y control de la producción, 1ra edn. IDIUC, Instituto de Investigación Universidad de Cuenca (2001)5. Frontoni, E., Marinelli, F., Rosetti, R., Zingaretti, V.: Optimal stock control and procurementby reusing of obsolescences in manufacturing. Comput. Ind. Eng.148(2020).https://doi.org/10.1016/j.cie.2020.1066976. Peña, I., Santa Cruz, R.: Modelo de Planeación de la Producción para una EmpresaAgroindustrial. Acta Nov.1(2), 181–189 (2001)7. Cáceres, D., Reyes, J., García, M.: Modelo de Programación Lineal para Planeación de Requerimiento de Materiales. Rev. Tecnológica ESPOL – RTE28, 24–33 (2015)8. Sabah, B., Nikolay, T., Sylverin, K. T.: Production planning under demand uncertainty usingMonte Carlo simulation approach: a case study in fertilizer industry. In: Proceedings of the2019 International Conference on Industrial Engineering and Systems Management, IESM, pp. 1–5 (2019).https://doi.org/10.1109/IESM45758.2019.89481129. Marimin, M., Zavira, R.: Production planning of crude palm oil: a study case at X Co.IOP Conf. Ser.: Earth Environ. Sci.472(1) (2020).https://doi.org/10.1088/1755-1315/472/1/01204710. Valencia, E.T., Lamouri, S., Pellerin, R., Dubois, P., Moeuf, A.: Production planning inthe fourth industrial revolution: a literature review. IFAC-PapersOnLine52(13), 2158–2163(2019).https://doi.org/10.1016/j.ifacol.2019.11.52511. Schuh, G., Prote, J.P., Sauermann, F., Franzkoch, B.: Databased prediction of order-specifictransition times. CIRP Ann.68(1), 467–470 (2019).https://doi.org/10.1016/j.cirp.2019.03.00812. Hahn, G.J., Brandenburg, M.: A sustainable aggregate production planning model for thechemical process industry. Comput. Oper. Res.94, 154–168 (2018).https://doi.org/10.1016/j.cor.2017.12.01113. Charoenponyarrat, D., Somboonwiwat, T.: Aggregate planning in canned pineapple produc-tion lines. In: 2018 5th International Conference on Industrial Engineering and Applications,ICIEA 2018, pp. 349–354 (2018).https://doi.org/10.1109/IEA.2018.838712314. Nahmias, S.: Análisis de la producción y las operaciones, 5ta edn. The McGraw-Hill Companies Inc., Mexico (2007)15. Schito, J., Moncecchi, D., Raubal, M.: Determining transmission line path alternatives usinga valley-finding algorithm. Comput. Environ. Urban Syst.86(2021).https://doi.org/10.1016/j.compenvurbsys.2020.10157116. Baykaso ̆glu, A., Özbel, B.K.: Modeling and solving a real-world cutting stock problem in themarble industry via mathematical programming and stochastic diffusion search approaches.Comput. Oper. Res.128(2021).https://doi.org/10.1016/j.cor.2020.10517317. Prifti, V., Dervishi, I., Dhoska, K., Markja, I., Pramono, A.: Minimization of transport costsin an industrial company through linear programming. IOP Conf. Ser. Mater. Sci. Eng.909(1)(2020).https://doi.org/10.1088/1757-899X/909/1/01204018. Andres, B., Guzman, E., Poler, R.: A novel MILP model for the production, lot sizing, andscheduling of automotive plastic components on parallel flexible injection machines withsetup common operators. Complexity2021, 1–16 (2021).https://doi.org/10.1155/2021/666751619. Yudhatama, J., Hakim, I.M.: Truck assembly line reconfiguration to reduce cycle time withlean manufacturing approach in the Indonesian automotive industry. IOP Conf. Ser. Mater.Sci. Eng.1003(1) (2020).https://doi.org/10.1088/1757-899X/1003/1/01210120. Bellingeri, A., Gallo, A., Liang, D., Masoero, F., Cabrera, V.E.: Development of a linearprogramming model for the optimal allocation of nutritional resources in a dairy herd. J.Dairy Sci.103(11), 10898–10916 (2020).https://doi.org/10.3168/jds.2020-1815721. Asmara, S., Rahmawati, W., Suharyatun, S., Wibowo, S.A.: Optimalization of upja revenue(business provider services) rice cultivation using linear programing analysis in seputih ramandistrict, central Lampung. IOP Conf. Ser. Earth Environ. Sci.355(1) (2019).https://doi.org/10.1088/1755-1315/355/1/0120873463351431Lineal programmingRice cropProductionCost reductionProduction planningPublicationORIGINALCoronado-hernandez-2021-Linear-programming-model-for-produc.pdfCoronado-hernandez-2021-Linear-programming-model-for-produc.pdfapplication/pdf303220https://repositorio.cuc.edu.co/bitstreams/6fe1d79f-d64d-4a5c-97eb-0eda5048e391/download3fb3d7837fbeff4730f269b2d972ce45MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/afd3ecd7-4268-492f-876d-9579fc1d4bcb/downloade30e9215131d99561d40d6b0abbe9badMD52TEXTCoronado-hernandez-2021-Linear-programming-model-for-produc.pdf.txtCoronado-hernandez-2021-Linear-programming-model-for-produc.pdf.txttext/plain28825https://repositorio.cuc.edu.co/bitstreams/4a378ffe-a12f-483d-959c-cc5256a22b40/download3c25c6b58a03effceb0cc0ea53a8edcbMD53THUMBNAILCoronado-hernandez-2021-Linear-programming-model-for-produc.pdf.jpgCoronado-hernandez-2021-Linear-programming-model-for-produc.pdf.jpgimage/jpeg11916https://repositorio.cuc.edu.co/bitstreams/f663f013-4262-4d98-bf40-255826241e17/download51625f45d592ac514e0a699f973c64baMD5411323/9230oai:repositorio.cuc.edu.co:11323/92302024-09-16 16:34:19.639https://creativecommons.org/licenses/by/4.0/© 2021 Springer Nature Switzerland AGopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |