Moving products between location pairs: Cross-docking versus direct-shipping

Nikolopoulou, Amalia; Repoussis, Panagiotis P.; Tarantilis, Christos D.; Zachariadis, Emmanouil E.

doi:10.1016/j.ejor.2016.06.053

Cited by 48 publications

(22 citation statements)

References 26 publications

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“…Nikolopoulou et al [55] addressed a pick-up and delivery problem, involving the vehicle routing problem with CDTs. The study evaluated different distribution options between suppliers and customers based on cost-effectiveness, including the following: (a) direct shipping (without using CDTs), and (b) indirect shipping (using CDTs).…”

Section: Miscellaneousmentioning

confidence: 99%

Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-Of-The-Art Review

et al. 2019

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Recent trends in the management of supply chains have witnessed an increasing implementation of the cross-docking strategy. The cross-docking strategy, being the one that can potentially improve supply chain operations, has received a lot of attention from researchers in recent years, especially over the last decade. Cross-docking involves the reception of inbound products, deconsolidation, sorting, consolidation, and shipping of the consolidated products to the end customers. The number of research efforts, aiming to study and improve the cross-docking operations, increases every year. While some studies discuss cross-docking as an integral part of a supply chain, other studies focus on the ways of making cross-docking terminals more efficient and propose different operations research techniques for various decision problems at cross-docking terminals. In order to identify the recent cross-docking trends, this study performs a state-of-the-art review with a particular focus on the truck scheduling problem at cross-docking terminals. A comprehensive evaluation of the reviewed studies is conducted, focusing on the major attributes of the cross-docking operations. These attributes include terminal shape considered, doors considered, door service mode considered, preemption, internal transportation mode used, temporary storage capacity, resource capacity, objectives considered, and solution methods adopted. Based on findings from the review of studies, some common issues are outlined and future research directions are proposed.

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Section: Miscellaneousmentioning

confidence: 99%

Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-Of-The-Art Review

et al. 2019

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“…In what follows, the effect and behavior of the novel algorithmic component and its associated parameters are experimentally examined. A rich scientific literature is devoted to Tabu Search algorithm (Tarantilis et al, 2012b;Nikolopoulou et al, 2017;Kotiloglu et al, 2017); thus standard settings in the VRP literature are used for the ATS algorithm in all executions with u t = 30 and z t = 3000, providing a good balance between effectiveness and computational time consumption. Additionally, as far as the multi-start procedure parameter Θ is concerned, a small positive number ranging from 5 to 20 was used throughout the computational experiments.…”

Section: Parameter Settings and Experimental Analysismentioning

confidence: 99%

The Vehicle Routing Problem with Profits and consistency constraints

Stavropoulou

Repoussis

Tarantilis

2019

European Journal of Operational Research

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“…En [11] se evalúa la estrategia de envío directo de productos, con la estrategia de utilizar para el envío de productos una instalación intermedia de Cross Docking. El objetivo de este documento es evaluar las opciones de distribución y llevar a cabo un análisis comparativo exhaustivo con respecto a su costo-efectividad.…”

Section: Introductionunclassified

Modelo de asignación dinámica de lugares de almacenamiento en centros Cross Docking

Orejuela

Rodríguez

Díaz

2019

TecnoL.

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Este trabajo describe una metodología para la asignación de lugares de almacenamiento temporal en centros tipo Cross Docking, para lo cual se desarrolla un modelo cuyo principal aporte es la asignación dinámica de productos entrantes a estos lugares de almacenamiento. El modelo minimiza los costos asociados al inventario final de los productos y los costos asociados a las distancias recorridas por unidad de carga. Se logra, además, una reducción del tiempo de permanencia y una aceleración del flujo de los productos desde la recepción hasta el despacho. Como principal conclusión, se identifica la importancia de las asignaciones puerta a puerta, en la reducción de los costos.

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Moving products between location pairs: Cross-docking versus direct-shipping

Cited by 48 publications

References 26 publications

Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-Of-The-Art Review

Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-Of-The-Art Review

The Vehicle Routing Problem with Profits and consistency constraints

Modelo de asignación dinámica de lugares de almacenamiento en centros Cross Docking

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