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A SOLUTION PROCEDURE FOR REAL-TIME ROUTING AND DISPATCHING OF COMMERCIAL VEHICLES
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1996
Year
EngineeringOperations ResearchVehicle RoutingCommercial Vehicle OperationSystems EngineeringLogisticsCustomer RequestsParallel ComputingCombinatorial OptimizationTransportation EngineeringReal-time DispatchReal-time OperationComputer EngineeringFleet ManagementComputer ScienceReal-time AlgorithmTransportation System ManagementScheduling ProblemAutomationBusinessReal-time SystemsParallel ProgrammingVehicle Routing ProblemTabu Search
Many distributions systems involve the real-time dispatch of a fleet of commercial vehicles for serving customer requests. Typical examples include courier services or less-than-truckload trucking, where vehicle routes must be determined quickly or in real-time. This paper describes an efficient solution procedure, based on the tabu search heuristic, to determine near-optimal solutions in two different problem settings: real-time routing where all customer locations are known before hand but at short notice, and real-time dispatching where requests are received and must be responded to in an on-going fashion. To provide quick response time, the solution procedure is implemented in a course-grain parallel computing environment. Computational results indicate that high-quality solutions are produced in acceptable time.