Scenario-Based Model for the Location of Multiple Uncapacitated Facilities: Case Study in an Agro-Food Supply Chain
Supply chains for agricultural products have taken on great importance in recent times due to the need that exists for consumers to acquire fresh products in excellent quality conditions. In the design of supply networks for this type of product, the location of facilities and allocation decisions a...
- Autores:
-
Mendoza Ortega, Gean Pablo
Soto, Manuel
Ruiz Meza, José
Salgado, Rodrigo
Torregroza, Angelica
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universitaria del Caribe - CECAR
- Repositorio:
- Repositorio Digital CECAR
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cecar.edu.co:cecar/10787
- Acceso en línea:
- https://repositorio.cecar.edu.co/handle/cecar/10787
- Palabra clave:
- Agro-food supply chain
Facility location
Mixed integer programming
Scenario-based optimization
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc/4.0/
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Scenario-Based Model for the Location of Multiple Uncapacitated Facilities: Case Study in an Agro-Food Supply Chain |
| title |
Scenario-Based Model for the Location of Multiple Uncapacitated Facilities: Case Study in an Agro-Food Supply Chain |
| spellingShingle |
Scenario-Based Model for the Location of Multiple Uncapacitated Facilities: Case Study in an Agro-Food Supply Chain Agro-food supply chain Facility location Mixed integer programming Scenario-based optimization |
| title_short |
Scenario-Based Model for the Location of Multiple Uncapacitated Facilities: Case Study in an Agro-Food Supply Chain |
| title_full |
Scenario-Based Model for the Location of Multiple Uncapacitated Facilities: Case Study in an Agro-Food Supply Chain |
| title_fullStr |
Scenario-Based Model for the Location of Multiple Uncapacitated Facilities: Case Study in an Agro-Food Supply Chain |
| title_full_unstemmed |
Scenario-Based Model for the Location of Multiple Uncapacitated Facilities: Case Study in an Agro-Food Supply Chain |
| title_sort |
Scenario-Based Model for the Location of Multiple Uncapacitated Facilities: Case Study in an Agro-Food Supply Chain |
| dc.creator.fl_str_mv |
Mendoza Ortega, Gean Pablo Soto, Manuel Ruiz Meza, José Salgado, Rodrigo Torregroza, Angelica |
| dc.contributor.author.none.fl_str_mv |
Mendoza Ortega, Gean Pablo Soto, Manuel Ruiz Meza, José Salgado, Rodrigo Torregroza, Angelica |
| dc.contributor.researchgroup.none.fl_str_mv |
Gestión de la innovación empresarial y social |
| dc.subject.proposal.eng.fl_str_mv |
Agro-food supply chain Facility location Mixed integer programming Scenario-based optimization |
| topic |
Agro-food supply chain Facility location Mixed integer programming Scenario-based optimization |
| description |
Supply chains for agricultural products have taken on great importance in recent times due to the need that exists for consumers to acquire fresh products in excellent quality conditions. In the design of supply networks for this type of product, the location of facilities and allocation decisions are among the most relevant decisions in operations management, which in many cases involve aspects of uncertainty. This research proposes to plan the distribution of multiple agro-food products taking into account the location and capacities of producers, potential location of facilities and variations in crop yields. A scenario-based optimization model for the location of multiple uncapacitated facilities is developed. The model is tested in the cassava agro-food chain in Sucre, Colombia. First, the description for the construction of the scenarios for the uncertainty associated with the yield per hectare of cassava crops is presented. Next, the mixed integer programming model (MIP) for the location of uncapacitated facilities (UFLP) is presented. The aim of the model is to minimize operational distribution costs. The results of the case study were obtained with the help of the CPLEX Solver integrated in GAMS in low computational time. A reduction of costs by almost 60% of the distribution costs is obtained. |
| publishDate |
2021 |
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2021 |
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2025-08-28T15:46:37Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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1865-0929 |
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eng |
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eng |
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398 |
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386 |
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Volumen 1431 |
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Communications in computer and information science |
| dc.relation.references.none.fl_str_mv |
Chen, Z.-L.: Integrated production and distribution operations. In: Simchi-Levi, D., Wu, S.D., Shen, Z.J. (eds.) Handbook of Quantitative Supply Chain Analysis, pp. 711–745. Springer, Boston (2004). https://doi.org/10.1007/978-1-4020-7953- 5 17 Chopra, S., Meindl, P.: Administraci´on de la cadena de suministro. Pearson educaci´on (2013) Muñoz Aguilar, R.A., Roldan Zuluaga, S.: Competitividad Y Cadenas De Abastecimiento En El Sector Productivo Del Valle Del Cauca, Colombia (competitiveness and supply chain in the productive sector of Valle Del Cauca, Colombia). Revista Global de Negocios 4(1), 77–87 (2015) Reina, M.L., Adarme, W.: Log´ıstica de distribuci´on de productos perecederos: estudios de caso Fuente de Oro (Meta) y Viot´a (Cundinamarca). Rev. Colomb. Ciencias Hort´ıcolas 8(1), 80–91 (2017) Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E., Shankar, R.: Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies. Tata McGraw-Hill Education, New York (2008) Paam, P., Berretta, R., Heydar, M., Middleton, R.H., Garc´ıa-Flores, R., Juliano, P.: Planning models to optimize the agri-fresh food supply chain for loss minimization: a review. Ref. Module Food Sci. (2016) Ahumada, O., Villalobos, J.R.: Application of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 196(1), 1–20 (2009). https://doi.org/ 10.1016/j.ejor.2008.02.014 Salin, V.: Information technology in agri-food supply chains. Int. Food Agribus. Manag. Rev. 1(3), 329–334 (1998). https://doi.org/10.1016/S1096-7508(99)80003- 2 Amorim, P., G¨unther, H.-O., Almada-Lobo, B.: Multi-objective integrated production and distribution planning of perishable products. Int. J. Prod. Econ. 138(1), 89–101 (2012). https://doi.org/10.1016/j.ijpe.2012.03.005 Daskin, M.S., Snyder, L.V., Berger, R.T.: Facility location in supply chain design. In: Langevin, A., Riopel, D. (eds.) Logistics Systems: Design and Optimization, pp. 39–65. Springer, Boston (2005). https://doi.org/10.1007/0-387-24977-X 2 Solimanpur, M., Kamran, M.A.: Solving facilities location problem in the presence of alternative processing routes using a genetic algorithm. Comput. Ind. Eng. 59(4), 830–839 (2010). https://doi.org/10.1016/j.cie.2010.08.010 Al-Sultan, K.S., Al-Fawzan, M.A.: A tabu search approach to the uncapacitated facility location problem. Ann. Oper. Res. 86, 91–103 (1999). https://doi.org/10. 1023/A:1018956213524 Min, H., Zhou, G.: Supply chain modeling: past, present and future. Comput. Ind. Eng. 43(1), 231–249 (2002). https://doi.org/10.1016/S0360-8352(02)00066-9 Everingham, Y.L., Muchow, R.C., Stone, R.C., Inman-Bamber, N.G., Singels, A., Bezuidenhout, C.N.: Enhanced risk management and decision-making capability across the sugarcane industry value chain based on seasonal climate forecasts. Agric. Syst. 74(3), 459–477 (2002). https://doi.org/10.1016/S0308- 521X(02)00050-1 Sun, M.: Solving the uncapacitated facility location problem using tabu search. Comput. Oper. Res. 33(9), 2563–2589 (2006). https://doi.org/10.1016/j.cor.2005. 07.014 De Armas, J., Juan, A.A., Marqu`es, J.M., Pedroso, J.P.: Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic. J. Oper. Res. Soc. 68(10), 1161–1176 (2017). https://doi.org/10. 1057/s41274-016-0155-6 Hakli, H., Ortacay, Z.: An improved scatter search algorithm for the uncapacitated facility location problem. Comput. Ind. Eng. 135, 855–867 (2019). https://doi.org/ 10.1016/j.cie.2019.06.060 Verter, V.: Uncapacitated and capacitated facility location problems. In: Eiselt, H.A., Marianov, V. (eds.) Foundations of Location Analysis. ISORMS, vol. 155, pp. 25–37. Springer, New York (2011). https://doi.org/10.1007/978-1-4419-7572- 0 2 Ramshani, M., Ostrowski, J., Zhang, K., Li, X.: Two level uncapacitated facility location problem with disruptions. Comput. Ind. Eng. 137, 106089 (2019). https:// doi.org/10.1016/j.cie.2019.106089 Mousavi, S.M., Vahdani, B., Tavakkoli-Moghaddam, R.: Optimal design of the cross-docking in distribution networks: heuristic solution approach. Int. J. Eng. 27(4), 533–544 (2014). https://doi.org/10.5829/idosi.ije.2014.27.04a.04 Cortinhal, M.J., Lopes, M.J., Melo, M.T.: Dynamic design and re-design of multiechelon, multi-product logistics networks with outsourcing opportunities: a computational study. Comput. Ind. Eng. 90, 118–131 (2015). https://doi.org/10.1016/ j.cie.2015.08.019 Ardjmand, E., Park, N., Weckman, G., Amin-Naseri, M.R.: The discrete Unconscious search and its application to uncapacitated facility location problem. Comput. Ind. Eng. 73(1), 32–40 (2014). https://doi.org/10.1016/j.cie.2014.04.010 Escobar, J.W.: Redise˜no de una red de distribuci´on con variabilidad de demanda usando la metodolog´ıa de escenarios. Rev. Fac. Ing. 21(32), 9–19 (2013) Quinteros, M., Alonso, A., Escudero, L., Guignard, M., Weintraub, A.: Una aplicaci´on de programaci´on estoc´astica en un problema de gesti´on forestal. Rev. Ing. Sist. XX (2006) Alonso-Ayuso, A., Escudero, L.F., Guignard, M., Weintraub, A.: On dealing with strategic and tactical decision levels in forestry planning under uncertainty. Comput. Oper. Res. 115, 104836 (2020). https://doi.org/10.1016/j.cor.2019.104836 Ramos, A., Alonso-Ayuso, A., P´erez, G.: Optimizaci´on bajo incertidumbre. Universidad Pontificia Comillas (2011) de Econ´omico, S.: Encuesta Nacional Agropecuaria de los periodos 2007 a 2017 (2018) Agronet: Base Agricola EVA 2007 - 2017 (2017). http://www.agronet.gov.co/ estadistica/Paginas/default.aspx. Accessed 4 Oct 2018 Govindan, K., Fattahi, M., Keyvanshokooh, E.: Supply chain network design under uncertainty: a comprehensive review and future research directions. Eur. J. Oper. Res. 263(1), 108–141 (2017). https://doi.org/10.1016/j.ejor.2017.04.009 Martinez Bencardino, C.: Estad´ıstica y muestreo. e-libro, Corp. (2012) |
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Mendoza Ortega, Gean PabloSoto, ManuelRuiz Meza, JoséSalgado, RodrigoTorregroza, AngelicaGestión de la innovación empresarial y social2025-08-28T15:46:37Z2021https://repositorio.cecar.edu.co/handle/cecar/107871865-0929Supply chains for agricultural products have taken on great importance in recent times due to the need that exists for consumers to acquire fresh products in excellent quality conditions. In the design of supply networks for this type of product, the location of facilities and allocation decisions are among the most relevant decisions in operations management, which in many cases involve aspects of uncertainty. This research proposes to plan the distribution of multiple agro-food products taking into account the location and capacities of producers, potential location of facilities and variations in crop yields. A scenario-based optimization model for the location of multiple uncapacitated facilities is developed. The model is tested in the cassava agro-food chain in Sucre, Colombia. First, the description for the construction of the scenarios for the uncertainty associated with the yield per hectare of cassava crops is presented. Next, the mixed integer programming model (MIP) for the location of uncapacitated facilities (UFLP) is presented. The aim of the model is to minimize operational distribution costs. The results of the case study were obtained with the help of the CPLEX Solver integrated in GAMS in low computational time. A reduction of costs by almost 60% of the distribution costs is obtained.Innovación en TICInnovación SocialInnovación tecnológica para el desarrollo de productos con insumos de la región13 páginasapplication/pdfenghttps://creativecommons.org/licenses/by-nc/4.0/Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://doi.org/10.1007/978-3-030-86702-7_33Scenario-Based Model for the Location of Multiple Uncapacitated Facilities: Case Study in an Agro-Food Supply ChainArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Colombia398386Volumen 1431Communications in computer and information scienceChen, Z.-L.: Integrated production and distribution operations. In: Simchi-Levi, D., Wu, S.D., Shen, Z.J. (eds.) Handbook of Quantitative Supply Chain Analysis, pp. 711–745. Springer, Boston (2004). https://doi.org/10.1007/978-1-4020-7953- 5 17Chopra, S., Meindl, P.: Administraci´on de la cadena de suministro. Pearson educaci´on (2013)Muñoz Aguilar, R.A., Roldan Zuluaga, S.: Competitividad Y Cadenas De Abastecimiento En El Sector Productivo Del Valle Del Cauca, Colombia (competitiveness and supply chain in the productive sector of Valle Del Cauca, Colombia). Revista Global de Negocios 4(1), 77–87 (2015)Reina, M.L., Adarme, W.: Log´ıstica de distribuci´on de productos perecederos: estudios de caso Fuente de Oro (Meta) y Viot´a (Cundinamarca). Rev. Colomb. Ciencias Hort´ıcolas 8(1), 80–91 (2017)Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E., Shankar, R.: Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies. Tata McGraw-Hill Education, New York (2008)Paam, P., Berretta, R., Heydar, M., Middleton, R.H., Garc´ıa-Flores, R., Juliano, P.: Planning models to optimize the agri-fresh food supply chain for loss minimization: a review. Ref. Module Food Sci. (2016)Ahumada, O., Villalobos, J.R.: Application of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 196(1), 1–20 (2009). https://doi.org/ 10.1016/j.ejor.2008.02.014Salin, V.: Information technology in agri-food supply chains. Int. Food Agribus. Manag. Rev. 1(3), 329–334 (1998). https://doi.org/10.1016/S1096-7508(99)80003- 2Amorim, P., G¨unther, H.-O., Almada-Lobo, B.: Multi-objective integrated production and distribution planning of perishable products. Int. J. Prod. Econ. 138(1), 89–101 (2012). https://doi.org/10.1016/j.ijpe.2012.03.005Daskin, M.S., Snyder, L.V., Berger, R.T.: Facility location in supply chain design. In: Langevin, A., Riopel, D. (eds.) Logistics Systems: Design and Optimization, pp. 39–65. Springer, Boston (2005). https://doi.org/10.1007/0-387-24977-X 2Solimanpur, M., Kamran, M.A.: Solving facilities location problem in the presence of alternative processing routes using a genetic algorithm. Comput. Ind. Eng. 59(4), 830–839 (2010). https://doi.org/10.1016/j.cie.2010.08.010Al-Sultan, K.S., Al-Fawzan, M.A.: A tabu search approach to the uncapacitated facility location problem. Ann. Oper. Res. 86, 91–103 (1999). https://doi.org/10. 1023/A:1018956213524Min, H., Zhou, G.: Supply chain modeling: past, present and future. Comput. Ind. Eng. 43(1), 231–249 (2002). https://doi.org/10.1016/S0360-8352(02)00066-9Everingham, Y.L., Muchow, R.C., Stone, R.C., Inman-Bamber, N.G., Singels, A., Bezuidenhout, C.N.: Enhanced risk management and decision-making capability across the sugarcane industry value chain based on seasonal climate forecasts. Agric. Syst. 74(3), 459–477 (2002). https://doi.org/10.1016/S0308- 521X(02)00050-1Sun, M.: Solving the uncapacitated facility location problem using tabu search. Comput. Oper. Res. 33(9), 2563–2589 (2006). https://doi.org/10.1016/j.cor.2005. 07.014De Armas, J., Juan, A.A., Marqu`es, J.M., Pedroso, J.P.: Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic. J. Oper. Res. Soc. 68(10), 1161–1176 (2017). https://doi.org/10. 1057/s41274-016-0155-6Hakli, H., Ortacay, Z.: An improved scatter search algorithm for the uncapacitated facility location problem. Comput. Ind. Eng. 135, 855–867 (2019). https://doi.org/ 10.1016/j.cie.2019.06.060Verter, V.: Uncapacitated and capacitated facility location problems. In: Eiselt, H.A., Marianov, V. (eds.) Foundations of Location Analysis. ISORMS, vol. 155, pp. 25–37. Springer, New York (2011). https://doi.org/10.1007/978-1-4419-7572- 0 2Ramshani, M., Ostrowski, J., Zhang, K., Li, X.: Two level uncapacitated facility location problem with disruptions. Comput. Ind. Eng. 137, 106089 (2019). https:// doi.org/10.1016/j.cie.2019.106089Mousavi, S.M., Vahdani, B., Tavakkoli-Moghaddam, R.: Optimal design of the cross-docking in distribution networks: heuristic solution approach. Int. J. Eng. 27(4), 533–544 (2014). https://doi.org/10.5829/idosi.ije.2014.27.04a.04Cortinhal, M.J., Lopes, M.J., Melo, M.T.: Dynamic design and re-design of multiechelon, multi-product logistics networks with outsourcing opportunities: a computational study. Comput. Ind. Eng. 90, 118–131 (2015). https://doi.org/10.1016/ j.cie.2015.08.019Ardjmand, E., Park, N., Weckman, G., Amin-Naseri, M.R.: The discrete Unconscious search and its application to uncapacitated facility location problem. Comput. Ind. Eng. 73(1), 32–40 (2014). https://doi.org/10.1016/j.cie.2014.04.010Escobar, J.W.: Redise˜no de una red de distribuci´on con variabilidad de demanda usando la metodolog´ıa de escenarios. Rev. Fac. Ing. 21(32), 9–19 (2013)Quinteros, M., Alonso, A., Escudero, L., Guignard, M., Weintraub, A.: Una aplicaci´on de programaci´on estoc´astica en un problema de gesti´on forestal. Rev. Ing. Sist. XX (2006)Alonso-Ayuso, A., Escudero, L.F., Guignard, M., Weintraub, A.: On dealing with strategic and tactical decision levels in forestry planning under uncertainty. Comput. Oper. Res. 115, 104836 (2020). https://doi.org/10.1016/j.cor.2019.104836Ramos, A., Alonso-Ayuso, A., P´erez, G.: Optimizaci´on bajo incertidumbre. Universidad Pontificia Comillas (2011)de Econ´omico, S.: Encuesta Nacional Agropecuaria de los periodos 2007 a 2017 (2018)Agronet: Base Agricola EVA 2007 - 2017 (2017). http://www.agronet.gov.co/ estadistica/Paginas/default.aspx. Accessed 4 Oct 2018Govindan, K., Fattahi, M., Keyvanshokooh, E.: Supply chain network design under uncertainty: a comprehensive review and future research directions. Eur. J. Oper. Res. 263(1), 108–141 (2017). https://doi.org/10.1016/j.ejor.2017.04.009Martinez Bencardino, C.: Estad´ıstica y muestreo. e-libro, Corp. 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