Análisis comparativo del problema de conformación de lotes con ruteo en la preparación de pedidos respecto al HVRP (Heterogeneous Vehicle Routing Problem)

Rodrigo Gómez, Alexander Correa, Jesús Muñuzuri, Pablo Cortes


Este artículo tiene como objetivo comparar la conformación de lotes con ruteo, en la preparación de pedidos respecto al problema HVRP (Heterogeneous Vehicle Routing Problem) basándose en la utilización de una metodología de la revisión sistemática de la literatura. Del análisis comparativo se identifica la necesidad de realizar modificaciones radicales e incluir nuevos componentes al problema HVRP, para modelar la conformación de lotes con ruteo de mínimo tiempo, en la preparación de pedidos, considerando K equipos de manejo de materiales (EMM) heterogéneos, n productos, m posiciones de almacenamiento, la disponibilidad del inventario y demás restricciones asociadas a la operación.

Palabras claves: Conformación de lotes, ruteo, preparación de pedidos, centros de distribución y HVRP (Heterogeneous Vehicle Routing Problem).

Comparative analysis of order batching and routing problem in the picking regarding classical HVRP (Heterogeneous Vehicle Routing Problem)

Abstract: This paper aims to compare the order batching and routing problem (OBRP) regarding heterogeneous vehicle routing problem (HVRP), in order to identify whether there are any differences and similarities between these ones. The OBRP consist in generating product groups, which are collected from storage locations using material specific handling equipment. Each product group(or batch) is matched to a route, which states the sequences to pick the products in the shortest time possible. On the other hand, HVRP is a variant of the Vehicle Routing Problem(VRP), in which customers are served by a heterogeneous fleet of vehicles with various capacities, in order to delivery products in a distribution network at the lowest possible cost. Additionally, in the related literature were not identified HVRP papers that tackled order batching and routing problem (OBRP), but they were focused primarily in transportation and distribution process. Therefore, it was detected a gap in the state of the art. The comparation analysis was developed using a variation of the methodology called Systematic Literature Review (SLR) , which was based on analysis of papers. This methodology was implemented eight stages, the most important of which are as follows: i) formulating the research questions and evaluation criteria (stage 2), ii) inclusion and exclusion criteria (stage 3), iii) results of systematic review (stage 6), iv) comparative analysis between OBRP and HVRP based on set evaluation criteria (stage 7) and v) conclusions and research opportunities (stage 8). The main findings of this paper were as follow: First, order batching was not modeled in HVRP, hence relevance of this gap. Second, in order batching and routing problem is necessary to represent K heterogeneous MHE with different speed travels, load capacities and lift heights. In HVRP papers the heterogeneity is only caused by vehicles in different load capacities. Third, a constraint among n products, m storage locations and K heterogeneous EMH should be implemented to ensure the feasibility of solutions of OBRP. This constraint is raised, since any MHE are not able to pick some products from storage locations, due to theirs technical characteristics. In addition, none of HVRP papers represented this constraint. Fourth, setup time and handling time were not modeled in reviewed HVRP papers, since these times were not as significant in transportation and distribution routes. Therefore, these times should be included in HVRP to represent OBRP. Fifth, available of inventory were not considered in HVRP papers, since this condition was not important in the modeled process. It should be noted that this condition is critical in OBRP, since only can be picked products with available inventory in Distribution Centre (DC). Based on findings, it was detected a significant gap in the state of the art related to the formulation and solution a minimum time OBRP considering n products, m storage locations and K heterogeneous MHE and described constraint. Therefore, this approach, not only it will fill this gap, but also contribute to knowledge in OBRP. In addition, this paper it will be one of the first to analyze HVRP in warehouse and DC.

Keywords: Order batching, routing, picking, Distribution Centre and HVRP (Heterogeneous Vehicle Routing Problem).

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