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/
Description
Summary: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.