A Review: Mathematical Modles for Cross Docking Planning

Agustina, Dwi; Lee, C. K. M.; Piplani, Rajesh

doi:10.5772/9717

Cited by 64 publications

(39 citation statements)

References 47 publications

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“…Boysen e Fliedner (2010) fazem uma revisão da literatura sobre cross-docking, como também desenvolvem um sistema de classificação das formas de programação de suas operações, adotando uma formulação semelhante à adotada na programação de máquinas de manufatura. Especificamente sobre uma revisão da aplicação de modelos matemá-ticos ao planejamento de operações de cross-docking, citase também o artigo de Agustina et al (2010).…”

Section: Tipos De Modelagem Nas Operações De Crossdockingunclassified

Cross-Docking em centros logísticos de distribuição urbana: considerações sobre operação e modelagem

2015

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Resumo: Centros de Distribuição Urbana (CDUs) são terminais onde bens materiais, que circulam dentro da região central de uma cidade, são transportados por veículos de menor porte e de características sustentáveis. Tais terminais são operados usualmente na forma de cross-docking, onde os produtos são transferidos de caminhões maiores para veículos de distribuição local, e vice-versa. Neste artigo são feitas considerações técnicas de como os CDUs poderiam ser dimensionados, não somente considerando as partes internas do terminal, como também as docas de carga/descarga e o estacionamento externo para os veículos de carga. A metodologia proposta envolve modelos de filas de espera não tradicionais, cuja calibração envolve aproximações numéricas.Palavras-chave: logística urbana, modelo de filas, cross-docking, dimensionamento de terminais.Abstract: Urban Distribution Centres (UDCs) are terminals where goods, that are transported within a city's central core district, are carried by small size vehicles with sustainable characteristics. Such terminals are usually operated in the crossdocking pattern, where the products are transferred from larger trucks to local distribution vehicles, and vice-versa. In this paper, a technical discussion is performed on the way such UDCs could be dimensioned, considering not only their internal parts, but the unloading/loading docks and the outdoor parking lot for trucks as well. The proposed methodology comprises non-traditional queuing models, whose calibration requires numerical approximation methods.Keywords: urban logistics, queuing models, cross-docking, terminal dimensioning. INTRODUÇÃOO objetivo deste trabalho é desenvolver modelos de fila de espera (Page, 1972;Fogliatti e Mattos, 2007) conjugados com modelos de simulação, que permitam analisar e dimensionar Centros de Distribuição Urbana (CDUs) operando na forma de cross-docking. Uma instalação desse tipo é uma plataforma onde se efetua a transferência de mercadorias provenientes de fora da região urbana para, em seguida, serem distribuídas na zona central da cidade. Nesse contexto, um importante elemento, interligando o transporte de carga de distâncias mais expressivas com um sistema de distribuição e coleta realizado por veículos que atendem à zona central da cidade, é formado por um ou mais CDUs (Taniguchi et al., 2001;Boudouin, 2012).Esse tipo de operação de terminais pressupõe a organização e a coordenação das chegadas dos veículos alimentadores, como também das operações internas e do carregamento dos veículos de distribuição. A organização e a coordenação das chegadas de veículos e das demais atividades nesse tipo de terminal afetam as características probabilís-ticas do sistema, levando a formulações estocásticas diversas dos modelos de filas tradicionalmente utilizados na aná-lise de problemas logísticos e de transportes. A metodologia adotada no presente trabalho é a de selecionar os modelos probabilísticos mais próximos das formulações reais que ocorrem nas operações de CDUs, e introduzindo coeficientes corretivos ...

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Section: Tipos De Modelagem Nas Operações De Crossdockingunclassified

Cross-Docking em centros logísticos de distribuição urbana: considerações sobre operação e modelagem

2015

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“…Jayaraman and Ross (2003) considered supply chain design problem which incorporates cross-docking into a supply chain environment. Agustina et al (2010) provide a literature review of mathematical models in cross-docking, where the models were classified into three levels of operational, tactical and strategic.…”

Section: Introductionmentioning

confidence: 99%

Developing a cross-docking network design model under uncertain environment

2014

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Cross-docking is a logistic concept, which plays an important role in supply chain management by decreasing inventory holding, order packing, transportation costs and delivery time. Paying attention to these concerns, and importance of the congestion in cross docks, we present a mixed-integer model to optimize the location and design of cross docks at the same time to minimize the total transportation and operating costs. The model combines queuing theory for design aspects, for that matter, we consider a network of cross docks and customers where two M/M/c queues have been represented to describe operations of indoor trucks and outdoor trucks in each cross dock. To prepare a perfect illustration for performance of the model, a real case also has been examined that indicated effectiveness of the proposed model. Rate of indoor demand for cross dock t k O1t Rate of outdoor flows that need to be transported from cross dock t to another cross dock k O2t Outdoor flows go through cross dock t and customers

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“…Many organizations draw on the combination of conventional warehousing and cross docking to use advantages of both (Apte & Viswanathan, 2000;Specter, 2004). Also, cross docking allows the product transportation by using full capacity of vehicle instead of using less capacity (Agustina et al, 2010).…”

Section: Research Assumptionsmentioning

confidence: 99%

Designing a location-routing model for cross docking in green supply chain

Rahmandoust¹,

Soltani²

2019

10.5267/j.uscm

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Today, most industrial managers in the world are interested in protecting the environment and biological resources. On the other hand, current technologies are getting momentum towards specialization and globalization. Thus, in order to remain in a highly competitive world market, producers have to respond to the customers' demands under different circumstances. The leading role of distribution centers to deliver products to customers on time and to reduce the costs of stock maintenance has attracted the attention of many supply chain managers in current competitive conditions. Cross docking is a logistic strategy aiming to reduce the stock and increase the level of customer's satisfaction. Products are delivered from the supplier to the customers through cross docking. In this paper, a nonlinear multiproduct vehicle locationrouting model is presented with heterogeneous vehicles. Each truck can carry one or more types of products. In other words, compatibility between product and vehicle has been accounted for here. This model aims to find out the possible minimum number of cross dockings among the existing set of discrete locations and minimize the total cost of opening cross docking centers as well as vehicle transportation (distribution and operation cost) costs. In sum, the model aims to find the number of cross docking centers, the number of vehicles and the best route in the distribution network. Since the model is mixed integer programming, to apply the model to medium and large scale problems, meta innovative genetic and particle swarm optimization algorithms are introduced. The results obtained from examining various problems show high efficiency of the proposed methods.ensee Growing Science, Canada by the authors; lic 9 © 201

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A Review: Mathematical Modles for Cross Docking Planning

Cited by 64 publications

References 47 publications

Cross-Docking em centros logísticos de distribuição urbana: considerações sobre operação e modelagem

Cross-Docking em centros logísticos de distribuição urbana: considerações sobre operação e modelagem

Developing a cross-docking network design model under uncertain environment

Designing a location-routing model for cross docking in green supply chain

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