A branch-and-price algorithm for the vehicle routing problem with roaming delivery locations
Date
2017Source Title
Transportation Research Part B: Methodological
Print ISSN
1912615
Publisher
Elsevier Ltd
Volume
100
Pages
115 - 137
Language
English
Type
ArticleItem Usage Stats
183
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323
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Abstract
We study the vehicle routing problem with roaming delivery locations in which the goal is to find a least-cost set of delivery routes for a fleet of capacitated vehicles and in which a customer order has to be delivered to the trunk of the customer's car during the time that the car is parked at one of the locations in the (known) customer's travel itinerary. We formulate the problem as a set-covering problem and develop a branch-and-price algorithm for its solution. The algorithm can also be used for solving a more general variant in which a hybrid delivery strategy is considered that allows a delivery to either a customer's home or to the trunk of the customer's car. We evaluate the effectiveness of the many algorithmic features incorporated in the algorithm in an extensive computational study and analyze the benefits of these innovative delivery strategies. The computational results show that employing the hybrid delivery strategy results in average cost savings of nearly 20% for the instances in our test set. © 2017 Elsevier Ltd
Keywords
Branch-and-priceResource-constrained shortest path
Roaming delivery locations
Trunk delivery
Vehicle routing
Costs
Fleet operations
Location
Routing algorithms
Sales
Vehicle routing
Vehicles
Branch and price
Branch-and-price algorithms
Capacitated vehicles
Computational results
Computational studies
Constrained shortest path
Trunk delivery
Vehicle Routing Problems
Integer programming
algorithm
freight transport
spatial analysis
transportation economics
travel behavior
travel time
Permalink
http://hdl.handle.net/11693/37318Published Version (Please cite this version)
http://dx.doi.org/10.1016/j.trb.2017.02.003Collections
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