Vehicle routing scheduling for cross-docking in the supply chain

Lee, Young Hae; Jung, Jung Woo; Lee, Kyong Min

doi:10.1016/j.cie.2006.02.006

Cited by 236 publications

(210 citation statements)

References 11 publications

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“…Timing is an important design factor, especially for vehicle pickup and delivery system [3]. This paper will try to take these advantages in developing a new vehicle transportation system.…”

Section: A Cross-docking Transportationmentioning

confidence: 99%

Vehicle Routing Problem with Simultaneous Pickup and Delivery in Cross-Docking Environment

Huang¹,

Liu²

2015

JOEBM

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Abstract-This study will discuss the vehicle routing problem with simultaneous pickup and delivery in a cross-docking environment. The transportation system includes three stages: (1) pickup goods, (2) delivery goods and pickup returned goods, and (3) delivery all returned goods. In the second stage, some operations of stage (3) may be accepted if time and loading capacity are available. We believe this special design can further reduce the transportation cost. A mathematical model is developed. The objective of this model is to minimize overall transportation cost including the vehicle transportation cost and the fixed cost of each route. An appropriate heuristic algorithm for solving the problem is also developed by using Tabu logic. Result of numerical example indicates that the proposed three-stage transportation system and heuristic algorithm can solve the vehicle routing problem effectively and efficiently.Index Terms-Cross-docking, pickup and delivery, vehicle routing problem.

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Section: A Cross-docking Transportationmentioning

confidence: 99%

Vehicle Routing Problem with Simultaneous Pickup and Delivery in Cross-Docking Environment

Huang¹,

Liu²

2015

JOEBM

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“…Cross-docking mechanisms implemented in a consolidation center can allocate and assort large sporadic incoming items into bundles of shipments, which can be specified by the B2B IT system (Gümüş & Bookbinder, 2004;Waller et al, 2006). If combined with freight consolidation, the distribution of transportation tasks can be performed as follows: TL serves as the main portion of long-haul transportation, while LTL will account for the feeding operation for cross-docking or the consolidation to take advantage of frequent but small shipments (Lee et al, 2006). As an example, highly efficient cross-docking operations equipped with Auto ID technologies, e.g.…”

Section: Cross-docking Arrangement For Seamless Physical Flowmentioning

confidence: 99%

Logistics Strategies to Facilitate Long-Distance Just-in-Time Supply Chain System

Cheng¹

2011

Supply Chain Management

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“…The vehicle routing problem with cross-docking was first introduced by Lee et al (2006). The objective was minimizing the transportation and fixed costs of using vehicles and it was solved by the Tabu search algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In some cases like frozen products or some kinds of drugs, the storage time might be even less than an hour. Because of this characteristic, vehicle routing and scheduling of inbound and outbound trucks play important role in applying a cross-docking system (Lee et al 2006).…”

Section: Introductionmentioning

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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Vehicle routing scheduling for cross-docking in the supply chain

Cited by 236 publications

References 11 publications

Vehicle Routing Problem with Simultaneous Pickup and Delivery in Cross-Docking Environment

Vehicle Routing Problem with Simultaneous Pickup and Delivery in Cross-Docking Environment

Logistics Strategies to Facilitate Long-Distance Just-in-Time Supply Chain System

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

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