Integrated multimodal freight service network design and pricing with a competing service integrator and heterogeneous shipper classes

利润(经济学) 计算机科学 运筹学 服务(商务) 竞争对手分析 多式联运 业务 微观经济学 经济 营销 工程类
作者
Zhenjie Wang,Dezhi Zhang,Lóránt Tavasszy,Stefano Fazi
出处
期刊:Transportation Research Part E-logistics and Transportation Review [Elsevier]
卷期号:179: 103290-103290
标识
DOI:10.1016/j.tre.2023.103290
摘要

In recent years, the highly fragmented multimodal transport offer in several countries has required the integration of these services by logistics service integrators (LSIs). The challenge for LSIs is to set up multimodal transport corridors that can respond efficiently to the heterogeneous demand of shippers and that are cost- and price-competitive against other transport solutions. We develop a bi-level programming model to assess the corridor’s pricing and the service network design simultaneously. In the upper level, the model maximizes the profit of the LSI by designing the service network and implementing shipment-based pricing for paths adapted to the heterogeneous demand for transport services. In the lower level, the total cost of shippers in the network who choose services according to their preferences is minimized. We solve the model using reformulation and linearization techniques. Computational experiments based on the real-world case of the New Western Land-Sea Corridor in China are conducted to demonstrate the proposed model and to draw managerial insights. The results show that the shipment-based pricing strategy is beneficial for the LSI to obtain profit increases when considering the shippers’ heterogeneous preferences on time and reliability. The results also revealed that the service design and pricing decisions of the LSI are not only related to operational costs but also depend on the competitors’ offers in the market. Moreover, the impact of the level of frequency discretization, waiting time cost, the penalty cost for not fully utilized services, and the generalized cost of the no-purchase option on the decisions of the LSI are also investigated in the sensitivity analysis.
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