A bi-level optimization model of LRP in collaborative logistics network considered backhaul no-load cost

摘要

In collaborative logistics network, all task demands are centralized by logistics platform for resource allocation, and then resource owners execute discretely under final plan. The key point of this study is to effectively balance the different appeals of stakeholders. In this paper, a bi-level programming model is presented to solve multi-deport LRP considered the constraint of hard time window, vehicle capacity and vehicle backhaul cost, which aims at achieving the effective interest coordination between upper layer platform and lower layer vehicle owners. To solve this bi-level model, genetic algorithm is redesigned according to this specific situation. Optimal results of simulation sample show that the satisfied solution for both platform and vehicle owners could be obtained using this method. Feasibility and validity of this model and adaptive algorithm have been verified in the paper. The bi-level model provides a practical and effective method to solve the profit distribution problem between platform and vehicle owners.