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MÉTODOS DE OPTIMIZACIÓN PARA EL PROBLEMA DE RUTEO DE VEHÍCULOS CON INVENTARIOS Y VENTANAS DE TIEMPO DURAS

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Pérez Kaligari, Eliseo
Guerrero Rueda, William Javier
Abstract (Spanish)
El problema estudiado considera las decisiones de ruteo de vehículos con inventarios y restricciones de ventanas de tiempo duras (IRPTW) en una cadena de abastecimiento compuesta por un depósito y múltiples minoristas. Se asume un horizonte de planeación discreto y finito en donde las decisiones por optimizar son: las cantidades a aprovisionar a los minoristas y, simultáneamente, la secuencia de minoristas a visitar en cada periodo de tiempo. El sistema cuenta con un sólo vehículo de capacidad limitada, restricciones de capacidad de almacenamiento de los minoristas, y tasa de producción limitada del depósito. Se requiere satisfacer la demanda que tienen los minoristas. Se asume que los minoristas tienen demanda determinística y no homogénea. Se propone una formulación matemática basada en programación entera mixta y se estudia el impacto que tiene la configuración de las ventanas de tiempo sobre las decisiones de ruteo de vehículos con inventarios, a través de dos métodos de optimización. El primer método optimiza las decisiones de forma simultánea, mientras que el segundo método propuesto considera las decisiones de forma secuencial, lo que lo convierte en un método heurístico. Se presenta un estudio computacional con 80 instancias adaptadas de la literatura. Los resultados muestran que el método de optimización simultáneo tiene un desempeño mejor que el método heurístico de optimización secuencial generando ahorros potenciales en los costos logísticos de al menos 6%
Abstract (English)
The studied problem considers the inventory routing problem with time windows (IRPTW) in a supply chain that consists of a single warehouse and multiple retailers. The considered planning horizon is discrete and finite, and the decisions to optimize are: the quantities to supply to retailers, and simultaneously the sequence of retailers to visit in each time period. The system has a single vehicle with limited capacity, storage capacity constraints at retailers and a limited production rate at the depot is considered. It is required to meet the retailer ́s demand. It is assumed that retailers have deterministic demand and not homogeneous. It is proposed a mathematical formulation based on mixed integer programming, and it is studied the impact of the time windows configuration on inventory routing decisions through two optimization methods. The first method optimizes decisions simultaneously, while the second proposed method considers sequential decisions, making it a heuristic method. A computational study with 80 instances adapted from the literature is presented. The results show that the method of simultaneous optimization has outperformed the heuristic optimization method generating potential savings in logistics costs of at least 6%
Extent
19 páginas.
URI: https://repositorio.escuelaing.edu.co/handle/001/1915
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AI - Centro de Investigación en Manufactura y Servicios – CIMSER
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