Routing design for less-than-truckload motor carriers using Ant Colony Optimization

One of the most important challenges that confronts less-than-truckload carriers serving many-to-many distribution networks consists of determining how to consolidate flows of small shipments. The objective is to determine a route for each origin–destination pair that minimizes the cost while still...

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Bibliographic Details
Published in:Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 2010-05, Vol.46 (3), p.367-383
Main Authors: Barcos, L., Rodríguez, V., Álvarez, M.J., Robusté, F.
Format: Article
Language:English
Subjects:
Ant Colony Optimization
Carriers
Colonies
Computer networks
Consolidation
Freight transportation
Heuristic
Less-than-truckload operations optimization
Less-than-truckload operations optimization Freight transportation Ant Colony Optimization Vehicle routing design
Motor carriers
Motors
Optimization
Optimization algorithms
Optimization techniques
Route optimization
Routing (telecommunications)
Studies
Transportation
Transportation problem (Operations research)
Vehicle routing design
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Summary:One of the most important challenges that confronts less-than-truckload carriers serving many-to-many distribution networks consists of determining how to consolidate flows of small shipments. The objective is to determine a route for each origin–destination pair that minimizes the cost while still guaranteeing a certain level of service. This research studies different aspects of the problem and provides a metaheuristic algorithm (based on Ant Colony Optimization techniques) capable of solving real-life problems in a reasonable computational time. The viability of the approach has been tested with a real case in Spain and encouraging results have been obtained.
ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2009.11.006