The multi-echelon vehicle routing problem with cross docking in supply chain management

Dondo, Rodolfo Gabriel; Mendez, Carlos Alberto; Cerdá, Jaime

doi:10.1016/j.compchemeng.2011.03.028

Cited by 84 publications

(42 citation statements)

References 18 publications

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“…A case study that involves the management of a multi-site system comprising 16 locations (2 factories, 2 DCs, and 16 customers) geographically spread in six European countries has been solved through the proposed approach. Such an example is a modified version of case studies previously tackled by Bonfill, Espuña, and Puigjaner (2008) and Dondo et al (2011). The example involves two single-stage multiproduct batch plants, which are located in Barcelona and Bratislava.…”

Section: Case Study and Computational Resultsmentioning

confidence: 99%

“…The objective of the VRPCD is to minimize the total traveling time while respecting time window constraints at the nodes and a time horizon for the whole transportation operation. The consolidation of goods from multiple suppliers to a single destination has also been taken into account by Tsiakis, Shah, and Pantelides (2001) and Dondo, Méndez, and Cerdá (2011) by developing mathematical formulations considering warehousing operations and cross docking strategies.One of the first detailed analysis of an integrated production and distribution system was presented by Chandra and Fisher (1994). This paper evaluates the savings that can be obtained by properly coordinating production scheduling with transportation decisions.…”

Section: Nomenclaturementioning

confidence: 99%

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Toward integrated production and distribution management in multi-echelon supply chains

Cóccola

Zamarripa

Mendez

et al. 2013

Computers & Chemical Engineering

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Section: Case Study and Computational Resultsmentioning

confidence: 99%

Section: Nomenclaturementioning

confidence: 99%

Toward integrated production and distribution management in multi-echelon supply chains

Cóccola

Zamarripa

Mendez

et al. 2013

Computers & Chemical Engineering

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“…Huang and Karimi (2006) Dondo et al (2011) studied the distribution problem considering vehicle routing and X-docking centers. Boschetto et al (2012) considered the planning and scheduling of a set of complex distribution networks and have shown the difficulty involved when planning and scheduling levels are to be integrated.…”

Section: As Represented Inmentioning

confidence: 99%

Process Supply Chains Management â€“ Where are We? Where to Go Next?

Barbosa‐Póvoa¹

2014

Front. Energy Res.

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Commonly process industries supply chains (SCs) deal with chemical process based networks involving suppliers, producers, warehouses, retailers, and distributors. More recently, reverse logistics activities started to be also considered as part of such networks, being these responsible for incorporating into the forward chains non-conforming/end-oflife products through recovering processes. This supports the exploration of the wasteto-value concept within the SCs while addressing important environmental issues. The result of such behavior has increased the already complex management of such systems challenging the development of decision supporting tools that can help the related decision process. In this paper, we address this need and analyze the more relevant published works that contribute to this goal while identifying the classes of problems that have been solved and which are the new trends in the area. We finalize this article by drawing some conclusions where we discuss advances performed and recognized challenges for the future.

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“…Then, Santos et al (2013) considered direct shipment from suppliers to customers to minimize total transportation cost and they proposed a Branch and Price algorithm to solve the problem. Dondo et al (2011) have formulated vehicle routing problem with cross-docking as a MILP model that considered a network with cross-docking strategy with direct shipments. Although many characteristics have been considered in the integration of VRP and cross-docking but as authors best of knowledge customer satisfaction has not been focused in the previous studies of VRP with crossdocking concept.…”

Section: Literature Reviewmentioning

confidence: 99%

Two phase genetic algorithm for vehicle routing and scheduling problem with cross-docking and time windows considering customer satisfaction

2017

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Cross-docking is a new warehousing policy in logistics which is widely used all over the world and attracts many researchers attention to study about in last decade. In the literature, economic aspects has been often studied, while one of the most significant factors for being successful in the competitive global market is improving quality of customer servicing and focusing on customer satisfaction. In this paper, we introduce a vehicle routing and scheduling problem with cross-docking and time windows in a three-echelon supply chain that considers customer satisfaction. A set of homogeneous vehicles collect products from suppliers and after consolidation process in the cross-dock, immediately deliver them to customers. A mixed integer linear programming model is presented for this problem to minimize transportation cost and early/tardy deliveries with scheduling of inbound and outbound vehicles to increase customer satisfaction. A two phase genetic algorithm (GA) is developed for the problem. For investigating the performance of the algorithm, it was compared with exact and lower bound solutions in small and large-size instances, respectively. Results show that there are at least 86.6% customer satisfaction by the proposed method, whereas customer satisfaction in the classical model is at most 33.3%. Numerical examples results show that the proposed two phase algorithm could achieve optimal solutions in small-size instances. Also in large-size instances, the proposed two phase algorithm could achieve better solutions with less gap from the lower bound in less computational time in comparison with the classic GA.

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The multi-echelon vehicle routing problem with cross docking in supply chain management

Cited by 84 publications

References 18 publications

Toward integrated production and distribution management in multi-echelon supply chains

Toward integrated production and distribution management in multi-echelon supply chains

Process Supply Chains Management â€“ Where are We? Where to Go Next?

Two phase genetic algorithm for vehicle routing and scheduling problem with cross-docking and time windows considering customer satisfaction

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