Route balancing addresses fair workloads allocation among stakeholders to balance utilization of transportation resources and to guarantee equity among employees. Drop-and-pull transportation has been verified to be b...
详细信息
Route balancing addresses fair workloads allocation among stakeholders to balance utilization of transportation resources and to guarantee equity among employees. Drop-and-pull transportation has been verified to be beneficial in container drayage and has gradually received attentions from the scientific literature. A container drayage problem that simultaneously considers the drop-and-pull mode and the issue of route balancing is investigated. In the problem, apart from the economic objectives, balanced distribution of workloads from social perspective is especially pursued. A mixed-integer programming model is formulated and a matheuristic algorithm is developed based on embedding the model in a heuristic framework to solve the problem. A division approach is designed to transform the original problem into sub-problems to ease the solving pressure. A fix-and- optimizemethod is adopted to further reduce the computational burdens from substantial decision variables. The proposed algorithm is tested on solving different application scenarios as single- and multi-trailer drop-and-pull problems. Experimental results indicate that the algorithm can provide much better solutions in shorter computational time when compared to standard approaches. Some managerial insights and sensitivity analyses concerning the route balancing are also presented.
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