Mixed global and local assignment algorithms for quasi-dynamic local truckload trucking operations with strict time windows

Transportation Research Record

Volumn , Issue 1733, 2000, Pages 49-55

  Regan, A C ^a   Jagannathan, S ^a   Wang, X ^a  

^a University of California at Irvine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; GEOGRAPHIC INFORMATION SYSTEMS; GROUND VEHICLE PARTS AND EQUIPMENT; HEURISTIC METHODS; HIGHWAY PLANNING; OPTIMIZATION; TRANSPORTATION PERSONNEL; TRANSPORTATION ROUTES; TRUCK TRAILERS;

CHASSIS; LOCAL ASSIGNMENT ALGORITHMS; LONG-HAUL TRUCKLOAD TRUCKING; MIXED GLOBAL ALGORITHMS; STRICT TIME WINDOWS;

TRUCK TRANSPORTATION;

EID: 0034433638     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1733-07     Document Type: Article

References (19)

1. Network economies of scale in short haul truckload operations
2. A stochastic formulation of the dynamic assignment problem, with an application to truckload motor carriers
3. Dynamic decision making for carrier fleet operations using real-time information
4. Evaluation of dynamic fleet management systems: Simulation framework
5. On-line algorithms for truck fleet assignment and scheduling under real-time information
6. Planning for truck fleet size in the presence of a common carrier option
7. An approximate labeling algorithm for the dynamic assignment problem
8. Adaptive labeling algorithms for the dynamic assignment problem
9. On the value of globally optimal solutions for dynamic routing and scheduling problems
10. Time constrained vehicle routing and scheduling
11. Note on the complexity of the shortest path models for column generations in the VRPTW
12. Scheduling and fleet routing models for transportation systems
13. A column generation approach for a ship scheduling problem
14. Integer programming methods for a vessel scheduling problem
15. Scheduling school buses
16. A comparison of heuristics for a school bus scheduling problem
17. Local truckload vehicle routing and scheduling with strict time window constraints