Cash Distribution Model with Safety Constraints

This article studies the cash distribution problem for bank correspondents that are geographically dispersed, and the associated risk indicators, service times, and logistics costs. The proposed model is a variant of the Inventory Routing Problem (IRP) that considers risk-management strategies. The...

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Autores:
Guerrero, William J.
Sarmiento-Lepesqueur, Angélica
Martínez-Agaton, Cristian
Tipo de recurso:
Conferencia (Ponencia)
Fecha de publicación:
2020
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
eng
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/1596
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/1596
https://link.springer.com/chapter/10.1007%2F978-3-030-59747-4_49
Palabra clave:
Cadena de suministro de moneda
Elección de transporte - Modelos matemáticos
Problema de enrutamiento de vehículos
Logística empresarial
Choice of transportation - Mathematical models
Vehicle routing problem
Business logistics
Cash distribution
Inventory routing
Time windows
Branch banking
Risk management
Currency supply chain
Rights
closedAccess
License
https://creativecommons.org/licenses/by/4.0/
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repository_id_str
dc.title.spa.fl_str_mv Cash Distribution Model with Safety Constraints
title Cash Distribution Model with Safety Constraints
spellingShingle Cash Distribution Model with Safety Constraints
Cadena de suministro de moneda
Elección de transporte - Modelos matemáticos
Problema de enrutamiento de vehículos
Logística empresarial
Choice of transportation - Mathematical models
Vehicle routing problem
Business logistics
Cash distribution
Inventory routing
Time windows
Branch banking
Risk management
Currency supply chain
title_short Cash Distribution Model with Safety Constraints
title_full Cash Distribution Model with Safety Constraints
title_fullStr Cash Distribution Model with Safety Constraints
title_full_unstemmed Cash Distribution Model with Safety Constraints
title_sort Cash Distribution Model with Safety Constraints
dc.creator.fl_str_mv Guerrero, William J.
Sarmiento-Lepesqueur, Angélica
Martínez-Agaton, Cristian
dc.contributor.author.none.fl_str_mv Guerrero, William J.
Sarmiento-Lepesqueur, Angélica
Martínez-Agaton, Cristian
dc.contributor.researchgroup.spa.fl_str_mv Centro de Investigaciones en Manufactura y Servicios - CIMSER
dc.subject.armarc.spa.fl_str_mv Cadena de suministro de moneda
Elección de transporte - Modelos matemáticos
Problema de enrutamiento de vehículos
Logística empresarial
topic Cadena de suministro de moneda
Elección de transporte - Modelos matemáticos
Problema de enrutamiento de vehículos
Logística empresarial
Choice of transportation - Mathematical models
Vehicle routing problem
Business logistics
Cash distribution
Inventory routing
Time windows
Branch banking
Risk management
Currency supply chain
dc.subject.armarc.eng.fl_str_mv Choice of transportation - Mathematical models
Vehicle routing problem
Business logistics
dc.subject.proposal.spa.fl_str_mv Cash distribution
Inventory routing
Time windows
Branch banking
Risk management
Currency supply chain
description This article studies the cash distribution problem for bank correspondents that are geographically dispersed, and the associated risk indicators, service times, and logistics costs. The proposed model is a variant of the Inventory Routing Problem (IRP) that considers risk-management strategies. The model considers a single cash center with unlimited capacity, from which cash deliveries are carried out by a single vehicle with limited capacity for cash distribution. The bank correspondents to which the cash deliveries are made handles a limited storage capacity. This paper considers the routing decisions of vehicles with hard time window, and risk constraints focused on inducing unpredictability of routes in a cash supply chain. The proposed model is denoted as a risk constrained inventory routing problem with time Windows (RcIRPTW). A mathematical formulation based on mixed-integer programming is proposed, studying the impact of incidents risks in the transport of cash, generating computational experiments on test instances where four types of variations of the IRP are evaluated with several random demand scenarios. The results show the importance of simultaneously optimizing inventory decisions considering routing and inventory costs along with the consideration of risk mitigation strategies. These risk constraints force changing the routes of the vehicle, reducing incidents rates, and reducing route predictability for secure transportation and logistics.
publishDate 2020
dc.date.issued.none.fl_str_mv 2020
dc.date.accessioned.none.fl_str_mv 2021-06-22T21:15:25Z
2021-10-01T17:37:38Z
dc.date.available.none.fl_str_mv 2021-06-22T21:15:25Z
2021-10-01T17:37:38Z
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https://link.springer.com/chapter/10.1007%2F978-3-030-59747-4_49
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identifier_str_mv 978-3-030-59746-7
978-3-030-59747-4
doi.org/10.1007/978-3-030-59747-4_49
url https://repositorio.escuelaing.edu.co/handle/001/1596
https://link.springer.com/chapter/10.1007%2F978-3-030-59747-4_49
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofseries.none.fl_str_mv Lecture Notes in Computer Science book series;12433
International Conference on Computational Logistics;
dc.relation.citationedition.spa.fl_str_mv 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020
dc.relation.citationendpage.spa.fl_str_mv 777
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dc.relation.indexed.spa.fl_str_mv N/A
dc.relation.ispartofbook.spa.fl_str_mv Computational Logistics
dc.relation.references.spa.fl_str_mv Banca de Oportunidades: Reportes de inclusión financiera. http://bancadelasoportunidades.gov.co/es/reportes/312 (2020). Accessed 25 May 2020
Coelho, L.C., Laporte, G.: The exact solution of several classes of inventory-routing problems. Comput. Oper. Res. 40(2), 558–565 (2013)
Espejo-Díaz, J.A., Guerrero, W.J.: A bi-objective model for the humanitarian aid distribution problem: analyzing the trade-off between shortage and inventory at risk. In: Figueroa-García, J.C., Duarte-González, M., Jaramillo-Isaza, S., Orjuela-Cañon, A.D., Díaz-Gutierrez, Y. (eds.) WEA 2019. CCIS, vol. 1052, pp. 752–763. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-31019-6_63
Geismar, H.N., Sriskandarajah, C., Zhu, Y.: A review of operational issues in managing physical currency supply chains. Prod. Oper. Manage. 26(6), 976–996 (2017)
Guerrero, W.J., Velasco, N., Prodhon, C., Amaya, C.A.: On the generalized elementary shortest path problem: a heuristic approach. Electron. Notes Discrete Math. 41, 503–510 (2013)
van der Heide, L.M., Coelho, L.C., Vis, I.F., van Anholt, R.G.: Replenishment and denomination mix of automated teller machines with dynamic forecast demands. Comput. Oper. Res. 114, 104828 (2020)
Larrain, H., Coelho, L.C., Cataldo, A.: A variable MIP neighborhood descent algorithm for managing inventory and distribution of cash in automated teller machines. Comput. Oper. Res. 85, 22–31 (2017)
Lüer, A., Benavente, M., Bustos, J., Venegas, B.: El problema de rutas de vehículos: Extensiones y métodos de resolución, estado del arte. In: EIG (2009)
Michallet, J., Prins, C., Amodeo, L., Yalaoui, F., Vitry, G.: Multi-start iterated local search for the periodic vehicle routing problem with time windows and time spread constraints on services. Comput. Oper. Res. 41, 196–207 (2014)
Osorio, A.F., Toro, H.: An MIP model to optimize a Colombian cash supply chain. Int. Trans. Oper. Res. 19(5), 659–673 (2012)
Peña, P., Vázquez, A.: El impacto de los corresponsales bancarios en la inclusión financiera: una primera evaluación. Estudios Económicos CNBV 1 (2012)
Superintendencia Financiera de Colombia: Estrategia nacional de inclusión financiera en colombia. https://www.superfinanciera.gov.co/inicio/informes-y-cifras/informes/inclusion-financiera-10084716 (2020). Accessed 25 May 2020
Talarico, L., Sörensen, K., Springael, J.: Metaheuristics for the risk-constrained cash-in-transit vehicle routing problem. Eur. J. Oper. Res. 244(2), 457–470 (2015)
The World Bank Group: financial inclusion. https://www.bancomundial.org/es/topic/financialinclusion/overview (2020). Accessed 25 May 2020
Wagner, M.: Analyzing cost structures of inventory-routing: application to cash supply chains. Lect. Notes Manage. Sci. 2, 110–122 (2010)
Xu, G., Li, Y., Szeto, W.Y., Li, J.: A cash transportation vehicle routing problem with combinations of different cash denominations. Int. Trans. Oper. Res. 26(6), 2179–2198 (2019)
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spelling Guerrero, William J.ed4b52885282a50f32a87ef1dff8e8b9600Sarmiento-Lepesqueur, Angélica5ac0a32a6e87024f49943482f449a37a600Martínez-Agaton, Cristian17cc147e375dc32ace6284d19cd2311d600Centro de Investigaciones en Manufactura y Servicios - CIMSER2021-06-22T21:15:25Z2021-10-01T17:37:38Z2021-06-22T21:15:25Z2021-10-01T17:37:38Z2020978-3-030-59746-7https://repositorio.escuelaing.edu.co/handle/001/1596978-3-030-59747-4https://link.springer.com/chapter/10.1007%2F978-3-030-59747-4_49doi.org/10.1007/978-3-030-59747-4_49This article studies the cash distribution problem for bank correspondents that are geographically dispersed, and the associated risk indicators, service times, and logistics costs. The proposed model is a variant of the Inventory Routing Problem (IRP) that considers risk-management strategies. The model considers a single cash center with unlimited capacity, from which cash deliveries are carried out by a single vehicle with limited capacity for cash distribution. The bank correspondents to which the cash deliveries are made handles a limited storage capacity. This paper considers the routing decisions of vehicles with hard time window, and risk constraints focused on inducing unpredictability of routes in a cash supply chain. The proposed model is denoted as a risk constrained inventory routing problem with time Windows (RcIRPTW). A mathematical formulation based on mixed-integer programming is proposed, studying the impact of incidents risks in the transport of cash, generating computational experiments on test instances where four types of variations of the IRP are evaluated with several random demand scenarios. The results show the importance of simultaneously optimizing inventory decisions considering routing and inventory costs along with the consideration of risk mitigation strategies. These risk constraints force changing the routes of the vehicle, reducing incidents rates, and reducing route predictability for secure transportation and logistics.Este artículo estudia el problema de la distribución de efectivo para los corresponsales bancarios geográficamente dispersos y los indicadores de riesgo, tiempos de servicio y costos logísticos asociados. El modelo propuesto es una variante del problema de enrutamiento de inventario (IRP) que considera estrategias de gestión de riesgos. El modelo considera un único centro de efectivo con capacidad ilimitada, desde el cual las entregas de efectivo se realizan en un único vehículo con capacidad limitada para la distribución de efectivo. Los corresponsales bancarios a los que se realizan las entregas de efectivo manejan una capacidad de almacenamiento limitada. Este documento considera las decisiones de ruta de los vehículos con una ventana de tiempo difícil y las restricciones de riesgo enfocadas en inducir la imprevisibilidad de las rutas en una cadena de suministro de efectivo. El modelo propuesto se denota como un problema de enrutamiento de inventario con restricciones de riesgo con ventanas de tiempo (RcIRPTW). Se propone una formulación matemática basada en programación de enteros mixtos, estudiando el impacto de los riesgos de incidentes en el transporte de efectivo, generando experimentos computacionales en instancias de prueba donde se evalúan cuatro tipos de variaciones del PIR con varios escenarios de demanda aleatorios. Los resultados muestran la importancia de optimizar simultáneamente las decisiones de inventario considerando los costos de enrutamiento e inventario junto con la consideración de estrategias de mitigación de riesgos. Estas limitaciones de riesgo obligan a cambiar las rutas del vehículo, reducir las tasas de incidentes y reducir la previsibilidad de la ruta para un transporte y una logística seguros.International Conference on Computational Logistics 28-30 September 2020 Enschede, The Netherlands12 páginasapplication/pdfengSpringerEstados UnidosLecture Notes in Computer Science book series;12433International Conference on Computational Logistics;11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020777763N/AComputational LogisticsBanca de Oportunidades: Reportes de inclusión financiera. http://bancadelasoportunidades.gov.co/es/reportes/312 (2020). Accessed 25 May 2020Coelho, L.C., Laporte, G.: The exact solution of several classes of inventory-routing problems. Comput. Oper. Res. 40(2), 558–565 (2013)Espejo-Díaz, J.A., Guerrero, W.J.: A bi-objective model for the humanitarian aid distribution problem: analyzing the trade-off between shortage and inventory at risk. In: Figueroa-García, J.C., Duarte-González, M., Jaramillo-Isaza, S., Orjuela-Cañon, A.D., Díaz-Gutierrez, Y. (eds.) WEA 2019. CCIS, vol. 1052, pp. 752–763. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-31019-6_63Geismar, H.N., Sriskandarajah, C., Zhu, Y.: A review of operational issues in managing physical currency supply chains. Prod. Oper. Manage. 26(6), 976–996 (2017)Guerrero, W.J., Velasco, N., Prodhon, C., Amaya, C.A.: On the generalized elementary shortest path problem: a heuristic approach. Electron. Notes Discrete Math. 41, 503–510 (2013)van der Heide, L.M., Coelho, L.C., Vis, I.F., van Anholt, R.G.: Replenishment and denomination mix of automated teller machines with dynamic forecast demands. Comput. Oper. Res. 114, 104828 (2020)Larrain, H., Coelho, L.C., Cataldo, A.: A variable MIP neighborhood descent algorithm for managing inventory and distribution of cash in automated teller machines. Comput. Oper. Res. 85, 22–31 (2017)Lüer, A., Benavente, M., Bustos, J., Venegas, B.: El problema de rutas de vehículos: Extensiones y métodos de resolución, estado del arte. In: EIG (2009)Michallet, J., Prins, C., Amodeo, L., Yalaoui, F., Vitry, G.: Multi-start iterated local search for the periodic vehicle routing problem with time windows and time spread constraints on services. Comput. Oper. Res. 41, 196–207 (2014)Osorio, A.F., Toro, H.: An MIP model to optimize a Colombian cash supply chain. Int. Trans. Oper. Res. 19(5), 659–673 (2012)Peña, P., Vázquez, A.: El impacto de los corresponsales bancarios en la inclusión financiera: una primera evaluación. Estudios Económicos CNBV 1 (2012)Superintendencia Financiera de Colombia: Estrategia nacional de inclusión financiera en colombia. https://www.superfinanciera.gov.co/inicio/informes-y-cifras/informes/inclusion-financiera-10084716 (2020). Accessed 25 May 2020Talarico, L., Sörensen, K., Springael, J.: Metaheuristics for the risk-constrained cash-in-transit vehicle routing problem. Eur. J. Oper. Res. 244(2), 457–470 (2015)The World Bank Group: financial inclusion. https://www.bancomundial.org/es/topic/financialinclusion/overview (2020). Accessed 25 May 2020Wagner, M.: Analyzing cost structures of inventory-routing: application to cash supply chains. Lect. Notes Manage. Sci. 2, 110–122 (2010)Xu, G., Li, Y., Szeto, W.Y., Li, J.: A cash transportation vehicle routing problem with combinations of different cash denominations. Int. Trans. Oper. Res. 26(6), 2179–2198 (2019)https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/closedAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_14cbhttps://link.springer.com/chapter/10.1007%2F978-3-030-59747-4_49Cash Distribution Model with Safety ConstraintsCapítulo - Parte de Libroinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_8544http://purl.org/coar/resource_type/c_c94fTextinfo:eu-repo/semantics/conferenceObjecthttps://purl.org/redcol/resource_type/CAP_LIBhttp://purl.org/coar/version/c_970fb48d4fbd8a85Cadena de suministro de monedaElección de transporte - Modelos matemáticosProblema de enrutamiento de vehículosLogística empresarialChoice of transportation - Mathematical modelsVehicle routing problemBusiness logisticsCash distributionInventory routingTime windowsBranch bankingRisk managementCurrency supply chainLICENSElicense.txttext/plain1881https://repositorio.escuelaing.edu.co/bitstream/001/1596/1/license.txt5a7ca94c2e5326ee169f979d71d0f06eMD51open accessORIGINALCash Distribution Model with Safety Constraints.pdfapplication/pdf81475https://repositorio.escuelaing.edu.co/bitstream/001/1596/2/Cash%20Distribution%20Model%20with%20Safety%20Constraints.pdfbc40cca2349288eec0e682e81290e6a9MD52metadata only accessTEXTCash Distribution Model with Safety Constraints.pdf.txtCash Distribution Model with Safety Constraints.pdf.txtExtracted texttext/plain2https://repositorio.escuelaing.edu.co/bitstream/001/1596/3/Cash%20Distribution%20Model%20with%20Safety%20Constraints.pdf.txtd784fa8b6d98d27699781bd9a7cf19f0MD53open accessTHUMBNAILCash Distribution Model with Safety Constraints.pdf.jpgCash Distribution Model with Safety Constraints.pdf.jpgGenerated Thumbnailimage/jpeg7276https://repositorio.escuelaing.edu.co/bitstream/001/1596/4/Cash%20Distribution%20Model%20with%20Safety%20Constraints.pdf.jpgec1ea2f9f78019907f56436f6616645cMD54open access001/1596oai:repositorio.escuelaing.edu.co:001/15962022-09-09 11:31:25.047metadata only accessRepositorio Escuela Colombiana de Ingeniería Julio Garavitorepositorio.eci@escuelaing.edu.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