Dynamic Fleet Management for International Truck Transportation: Focusing on Occasional Transportation Tasks
Two new dynamic planning approaches, incorporating all important real-life restrictions, such as regulations on driving and working hours, are developed and evaluated. Extensive numerical tests are carried out with a five-week real-life data set from an international freight forwarding company.
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Chapter 1 Introduction
Chapter 2 Dynamic Transportation Problems
Chapter 3 Literature Review
Chapter 4 Development and Evaluation of two Dynamic Planning Procedures
Chapter 5RealLife Application at an InternationallyOperating Freight ForwardingCompany
Chapter 6Conclusion and Outlook
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achieved addition algorithm anticipation horizon applied arrival Assignment based procedure authors basic Bernhard Fleischmann Best Insertion break/wait calculated Call-In capacitated chosen computation CPLEX customers daily rest period decision degree of dynamism Delivery location depot Dynamic Fleet Management dynamic planning empty travel Figure freight forwarding company Gendreau Genetic Algorithm geographical coordinate hard time windows heuristic improvement initial International Truck interval load Metaheuristics minimization MNS procedure node network number of vehicles objective function optimal option parameter Parameterization performance Pickup and Delivery Pickup location Pickup of order planning horizon planning problem real order real vehicle real-life planning requests restrictions rolling horizon route diversion scheduling Section sector self-generated simulation speed SLPDPTW solution approach solution quality specific static stochastic strategy Tabu Search test data set traffic bans transportation tasks traveled distance traveling to Pickup Vehicle Routing Problem vehicle tour vehicle’s VRPTW waiting weekly rest period